Conference Papers on Evolutionary Multiobjective Optimization

Maintained by

Carlos A. Coello Coello
ccoello@cs.cinvestav.mx
CINVESTAV-IPN
Departamento de Computación
Av. Instituto Politécnico Nacional No. 2508
Col. San Pedro Zacatenco
México, D.F. 07300

Last Update: June 23th, 2014

(Keep in mind that this list is constantly being updated)


Author: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

    A

  1. Hussein A. Abbass, Ruhul Sarker and Charles Newton. PDE: A Pareto-frontier Differential Evolution Approach for Multi-objective Optimization Problems, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 971--978, May 2001.
  2. Hussein A. Abbass. A Memetic Pareto Evolutionary Approach to Artificial Neural Networks, in The Australian Joint Conference on Artificial Intelligence, Adelaide, Australia, Lecture Notes in Artificial Intelligence Vol. 2256, Springer, pp. 1-12, December 2001.
  3. Hussein A. Abbass and Ruhul Sarker. Simultaneous Evolution of Architectures and Connection Weights in ANNs, in The Artificial Neural Networks and Expert Systems Conference (ANNES'01), Dunedin, New Zealand, pp. 16--21, November 2001.
  4. Hussein A. Abbass. The Self-Adaptive Pareto Differential Evolution Algorithm, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 831--836, IEEE Service Center, Piscataway, New Jersey, May 2002.
  5. Hussein A. Abbass and Kalyanmoy Deb. Searching under Multi-evolutionary Pressures, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 391--404, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  6. Hussein A. Abbass. Pareto Neuro-Evolution: Constructing Ensemble of Neural Networks Using Multi-objective Optimization, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 2074--2080, IEEE Press, Canberra, Australia, December 2003.
  7. Hussein A. Abbass. An Inexpensive Cognitive Approach for Biobjective Optimization using Bliss Points and Interaction, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 712--721, Birmingham, UK, September 2004.
  8. Wahabou Abdou, Christelle Bloch, Damien Charlet and François Spies. Adaptive Multi-Objective Genetic Algorithm using Multi-Pareto-Ranking, in 2012 Genetic and Evolutionary Computation Conference (GECCO'2012), pp. 449--456, ACM Press, Philadelphia, USA, July 2012, ISBN: 978-1-4503-1177-9.
  9. Wahabou Abdou, Christelle Bloch, Damien Charlet and François Spies. Multi-Pareto-Ranking Evolutionary Algorithm, in Jin-Kao Hao and Martin Middendorf (editors), Evolutionary Computation in Combinatorial Optimization, 12th European Conference, EvoCOP 2012, pp. 194--205, Springer. Lecture Notes in Computer Science Vol. 7245, Málaga, Spain, April 11-13, 2012.
  10. Salwani Abdullah, Hamza Turabieh, Barry McCollum and Paul McMullan. A Multi-objective Post Enrolment Course Timetabling Problems: A New Case Study, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 435--441, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  11. Manuel Blanco Abello, Lam Thu Bui and Zbignew Michalewicz. An Adaptive Approach for Solving Dynamic Scheduling with Time-varying Number of Tasks - Part I, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1703--1710, IEEE Service Center, New Orleans, Lousiana, USA, 5--8 June, 2011.
  12. Manuel Blanco Abello, Lam Thu Bui and Zbignew Michalewicz. An Adaptive Approach for Solving Dynamic Scheduling with Time-varying Number of Tasks - Part II, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1711--1718, IEEE Service Center, New Orleans, Lousiana, USA, 5-8 June, 2011.
  13. Manuel Blanco Abello, Zbigniew Michalewicz and Lam Thu Bui. A reactive-proactive approach for solving dynamic scheduling with time-varying number of Tasks, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1132--1141, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  14. M.F. Abbod, D.A. Linkens and M. Mahfouf. Multi-Objective Genetic Optimization for Self-Organizing Fuzzy Logic Control. In Proceedings of UKACC Control'98, pp. 1575--1580, University of Wales Swansea, IEE, UK, september 1998.
  15. M.A. Abido. A new multiobjective evolutionary algorithm for environmental/economic power dispatch, Power Engineering Society Summer Meeting, Vol. 2, pp. 1263--1268, IEEE, 2001.
  16. M.A. Abido and J.M. Bakhashwain. A Novel Multiobjective Evolutionary Algorithm for Optimal Reactive Power Dispatch Proble, in Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems, 2003 (ICECS 2003), IEEE, Vol. 3, pp. 1054--1057, December 2003.
  17. M.A. Abido. Multiobjective Optimal VAR Dispatch Using Strength Pareto Evolutionary Algorithm, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 2745--2751, IEEE, Vancouver, BC, Canada, July 2006.
  18. M.A. Abido. Two-Level of Nondominated Solutions Approach to Multiobjective Particle Swarm Optimization, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 726--733, Vol. 1, ACM Press, London, UK, July 2007.
  19. M. A. Abido and N. A. Al-Ali. Multi-Objective Differential Evolution for Optimal Power Flow, in International Conference on Power Engineering, Energy and Electrical Drives (POWERENG '09), pp. 101--106, IEEE Computer Society, Lisbon, Portugal, March 18-20, 2009.
  20. J.A.R. Abraham and I.C. Parmee. Extraction of Emerging Multi-Objective Design Information from COGA Data, in I.C. Parmee (editor), Adaptive Computing in Design and Manufacture VI, pp. 221--233, Springer, London, 2004.
  21. Ajith Abraham, Crina Grosan, Sang Yong Han and Alexander Gelbukh. Evolutionary Multiobjective Optimization Approach for Evolving Assemble of Intelligent Paradigms for Stock Market Modeling, in Alexander Gelbukh, Álvaro de Albornoz and Hugo Terashima-Marín (editors), MICAI 2005: Advances in Artificial Intelligence, Springer, pp. 673--681, Lecture Notes in Artificial Intelligence Vol. 3789, Monterrey, México, November 2005.
  22. Adnan Acan and Ahmet Unveren. Evolutionary Multiobjective Optimization with a Segment-Based External Memory Support for the Multiobjective Quadratic Assignment Problem, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2723--2729, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.
  23. Salem F. Adra, Ian Griffin and Peter J. Fleming. Hybrid Multiobjective Genetic Algorithm with a New Adaptive Local Search Process, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1009--1010, Vol. 1, ACM Press, New York, USA, June 2005.
  24. Salem F. Adra, Ahmed I. Hamody, Ian Griffin and Peter J. Fleming. A Hybrid Multi-Objective Evolutionary Algorithm Using an Inverse Neural Network for Aircraft Control System Design, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1--8, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  25. S.F. Adra, I.A. Griffin and P.J. Fleming. An Adaptive Memetic Algorithm for Enhanced Diversity, in I.C. Parmee (Editor), Adaptive Computing in Design and Manufacture 2006. Proceedings of the Seventh International Conference, pp. 251--254, The Institute for People-centred Computation, Bristol, UK, April 2006.
  26. Salem F. Adra, Ian Griffin and Peter J. Fleming. A Comparative Study of Progressive Preference Articulation Techniques for Multiobjective Optimisation, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 908--921, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  27. Salem F. Adra, Ian Griffin and Peter J. Fleming. An Informed Convergence Accelerator for Evolutionary Multiobjective Optimiser, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 734--740, Vol. 1, ACM Press, London, UK, July 2007.
  28. Salem F. Adra and Peter J. Fleming. Progressive diversity management in evolutionary multiobjective optimisation, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3852--3859, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  29. Salem F. Adra, Mariam Kiran, Phil McMinn and Neil Walkinshaw. A Multiobjective Optimisation Approach For The Dynamic Inference and Refinement Of Agent-Based Model Specifications, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2237--2244, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  30. Jeroen C.J.H. Aerts, Marjan van Herwijnen and Theodor J. Stewart. Using Simulated Annealing and Spatial Goal Programming for Solving a Multi Site Land Use Allocation Problem, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 448--463, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  31. Alexandros Agapitos and Simon M. Lucas. Evolving a Statistics Class Using Object Oriented Evolutionary Programming, in Marc Ebner, Michael O'Neill, Anikó Ekárt, Leonardo Vanneschi and Anna Isabel Esparcia-Alcázar (editors), Genetic Programming, 10th European Conference, EuroGP 2007, pp. 291--300, Springer. Lecture Notes in Computer Science Vol. 4445, Valencia, Spain, April 2007.
  32. Alexandros Agapitos, Julian Togelius and Simon M. Lucas. Multiobjective techniques for the Use of State in Genetic Programming applied to Simulated Car Racing. In 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 1562--1569, IEEE Press, Singapore, September 2007.
  33. Varun Aggarwal and Una-May O'Reilly. COSMO: A Correlation Sensitive Mutation Operator for Multi-Objective Optimization, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 741--748, Vol. 1, ACM Press, London, UK, July 2007.
  34. Jose Aguilar and Pablo Miranda. Approaches Based on Genetic Algorithms for Multiobjective Optimization Problems, In Wolfgang Banzhaf, Jason Daida, Agoston E. Eiben, Max H. Garzon, Vasant Honavar, Mark Jakiela and Robert E. Smith, editors, GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference, volume 1, pages 3--10, Orlando, Florida, USA, 1999. Morgan Kaufmann Publishers.
  35. Jose Aguilar and Pablo Miranda. Resolution of the Left Ventricle 3D Reconstruction Problem using Approaches based on Genetic Algorithm for Multiobjective Problems, In 1999 Congress on Evolutionary Computation, pages 913--920, Vol. 2, Washington, D.C., July 1999. IEEE Service Center.
  36. Arturo Hernández Aguirre, Ricardo Salem Zebulum and Carlos A. Coello Coello. Evolutionary Multiobjective Design targeting a Field Programmable Transistor Array, in Ricardo S. Zebulum, David Gwaltney, Gregory Hornby, Didier Keymeulen, Jason Lohn and Adrian Stoica (editors), Proceedings of the 2004 NASA/DoD Conference on Evolvable Hardware, pp. 199--205, IEEE Computer Society, Los Alamitos, California, June 2004.
  37. Hernán E. Aguirre, Masahiko Sato and Kiyoshi Tanaka. Preliminary Study on the Performance of Multi-objective Evolutionary Algorithms with MNK-Landscapes, in Proceedings of the 2004 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP 2004), pp. 315--318, The Research Institute of Signal Processing Japan, Hawaii, USA, March 2004.
  38. Hernán E. Aguirre and Kiyoshi Tanaka. Insights on Properties of Multiobjective MNK-Landscapes, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 196--203, Portland, Oregon, USA, June 2004.
  39. Arturo Hernández Aguirre, Salvador Botello Rionda and Carlos A. Coello Coello. PASSSS: An Implementation of a Novel Diversity Strategy for Handling Constraints, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 403--410, Portland, Oregon, USA, June 2004.
  40. Hernán E. Aguirre and Kiyoshi Tanaka. Effects of Elitism and Population Climbing on Multiobjective MNK-Landscapes, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 449--456, Portland, Oregon, USA, June 2004.
  41. Hernán Aguirre and Kiyoshi Tanaka. Selection, Drift, Recombination and Mutation in Multiobjective Evolutionary Algorithms on Scalable MNK-Landscapes, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 355--369, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  42. Hernán Aguirre, Hiroyuki Okazaki and Yasushi Fuwa. An Evolutionary Multiobjective Approach to Design Highly Non-linear Boolean Functions, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 749--756, Vol. 1, ACM Press, London, UK, July 2007.
  43. Hernán E. Aguirre and Kiyoshi Tanaka. Space partitioning with adaptive ε-ranking and substitute distance assignments: a comparative study on many-objective MNK-landscapes, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 547--554, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .
  44. Hernan Aguirre and Kiyoshi Tanaka. Adaptive ε-Ranking on MNK-Landscapes, in 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2009), pp. 104--111, IEEE Press, Nashville, TN, USA, March 30--April 2 2009. ISBN 978-1-4244-2764-2 .
  45. Hernán Aguirre and Kiyoshi Tanaka. A study on the effects of rankings sensitive to density on many-objective MNK Landscapes, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 1089--1096, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  46. Hernén Aguirre, Arnaud Liefooghe, Sébastien Verel and Kiyoshi Tanaka. , in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1507--1514, IEEE Press, Cancún, México, 20-23 June, 2013.
  47. Frank J. Aherne, Neil A. Thacker and Peter I. Rockett. Optimal Pairwise Geometric Histograms. In Adrian F. Clark, editor, Electronic Proceedings of the Eighth British Machine Vision Conference, BMVC97, University of Essex, United Kingdom, September 1997.
  48. Frank J. Aherne, Neil A. Thacker and Peter I. Rockett. Automatic Parameter Selection for Object Recognition using a Parallel Multiobjective Genetic Algorithm. In Proceedings of the 7th International Conference on Computer Analysis of Images and Patterns (CAIP'97), Lecture Notes in Computer Science 1296, pages 559-566, Kiel, Germany, September 1997. Springer Verlag.
  49. Frank J. Aherne, Neil A. Thacker and Peter I. Rockett. Optimising Object Recognition Parameters using a Parallel Multiobjective Genetic Algorithm, In Proceedings of the 2nd IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA'97), pages 1-6, Glasgow, Scotland, September 1997. IEE.
  50. Muhammad Ahmadi, Ashkan Yousefi, Alireza Soroudi and Mehdi Ehsan. Multi objective distributed generation planning using NSGA-II, in 2008 13th Power Electronics and Motion Control Conference, EPE-PEMC 2008, pp. 1847--1851, IEEE Press, Poznan, Poland, September 1-3, 2008, ISBN 978-1-4244-1741-4.
  51. Faez Ahmed, Abhilash Jindal and Kalyanmoy Deb. Cricket Team Selection Using Evolutionary Multi-objective Optimization, in Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das and Suresh Chandra Satapathy (editors), Swarm, Evolutionary, and Memetic Computing, Second International Conference, SEMCCO 2011, pp. 71--78, Springer. Lecture Notes in Computer Science Vol. 7077, Visakhapatnam, Andhra Pradesh, India, December 19-21, 2011.
  52. Chang Wook Ahn and R.S. Ramakrishna. Multiobjective Real-coded Bayesian Optimization Algorithm Revisited: Diversity Preservation, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 593--600, Vol. 1, ACM Press, London, UK, July 2007.
  53. Ugur Akyazi and A. Sima Uyar. Detection of DDoS Attacks via an Artificial Immune System-Inspired Multiobjective Evolutionary Algorithm, in Cecilia Di Chio, Anthony Brabazon, Gianni A. Di Caro, Marc Ebner, Muddassar Farooq, Andreas Fink, Jörn Grahl, Gary Greenfield, Penousal Machado, Michael O'Neill, Ernesto Tarantino and Neil Urquhard (editors), Applications of Evolutionary Computation, EvoApplications 2010: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoMUSART and EvoTRANSLOG, pp. 1--10, Springer. Lecture Notes in Computer Science Vol. 6025, Istanbul, Turkey, April 7-9, 2010.
  54. Sameer Alam, Chris Lokan and Hussein Abbass. What can make an airspace unsafe? Characterizing collision risk using multi-objective optimization, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 464--471, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  55. Inès Alaya and Christine Solnon and Khaled Ghédira. Ant Colony Optimization for Multi-objective Optimization Problems, in Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), Vol. 1, pp. 450--457, IEEE Computer Society Press, October 2007.
  56. Enrique Alba, A. Cervantes, J. A. Gómez, P. Isasi, M. D. Jaraíz, Coromoto León, Gabriel Luque, Francisco Luna, Gara Miranda, Antonio J. Nebro, R. Pérez and Carlos Segura. Metaheuristic Approaches for Optimal Broadcasting Design in Metropolitan MANETs, in Roberto Moreno-Díaz, Franz Pichler and Alexis Quesada-Arencibia (editors), Computer Aided Systems Theory - EUROCAST 2007, 11th International Conference on Computer Aided Systems Theory, pp. 755--763, Springer. Lecture Notes in Computer Science Volume 4739, Las Palmas de Gran Canaria, Spain, February 12-16 2007.
  57. Heyam AlBaity, Souham Meshoul and Ata Kaban. On extending quantum behaved particle swarm optimization to multiobjective context, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 996--1003, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  58. Wissam A. Albukhanajer, Yaochu Jin, Johann A. Briffa and Godfried Williams. Evolutionary multi-objective optimization of trace transform for invariant feature extraction, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 401--408, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  59. Rafael Alcala, Jesus Alcala-Fdez, Maria Jose Gacto and Francisco Herrera. A multi-objective evolutionary algorithm for rule selection and tuning on fuzzy rule-based systems, in 2007 IEEE International Conference on Fuzzy Systems, pp. 1372--1377, IEEE Press, London, UK, July 23-26, 2007, ISBN 978-1-4244-1209-9.
  60. M. E. Alemany and C. Andrés and E. Vicens. A new genetic algorithm for the machine grouping problem with multiple objectives, in Ashayeri and Sullivan and Ahmad (eds), Proceedings of Flexible Automation and Intelligent Manufacturing (FAIM 1999), pp. 461--473, 1999.
  61. Ricardo Aler, Julia Handl and Joshua D. Knowles. Comparing Multi-objective and Threshold-moving ROC Curve Generation for a Prototype-based Classifier, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 1029--1036, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  62. Aldeida Aleti, Irene Moser and Sanaz Mostaghim. Adaptive Range Parameter Control, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1767--1774, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  63. E. Alfaro-Cid, P. A. Castillo, A. Esparcia, K. Sharman, J. J. Merelo, A. Prieto, A. M. Mora and J. L. J. Laredo. Comparing Multiobjective Evolutionary Ensembles for Minimizing Type I and II Errors for Bankruptcy Prediction, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 2907--2913, IEEE Service Center, Hong Kong, June 2008.
  64. Layak Ali, Samrat L. Sabat and Siba K. Udgata. Adaptive and Accelerated Exploration Particle Swarm Optimizer (AAEPSO) for Solving Constrained Multiobjective Optimization Problems, in Bijaya Ketan Panigrahi, Swagatam Das, Ponnuthurai Nagaratnam Suganthan and Subhransu Sekhar Dash (editors), Swarm, Evolutionary, and Memetic Computing, First International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2010, pp. 155--162, Springer. Lecture Notes in Computer Science Vol. 6466, Chennai, India, December 16-18, 2010.
  65. Hamid Ali and Farrukh Aslam Khan. Group Counseling Optimization for Multi-objective Functions, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 705--713, IEEE Press, Cancún, México, 20-23 June, 2013.
  66. Richard Allmendinger, Xiaodong Li and Jürgen Branke. Reference Point-Based Particle Swarm Optimization Using a Steady-State Approach, in Xiaodong Li, Michael Kirley, Mengjie Zhang, David G. Green, Victor Ciesielski, Hussein A. Abbass, Zbigniew Michalewicz, Tim Hendtlass, Kalyanmoy Deb, Kay Chen Tan, Jürgen Branke and Yuhui Shi (editors), Simulated Evolution and Learning, 7th International Conference, SEAL 2008, pp. 200--209, Springer. Lecture Notes in Computer Science, Vol. 5361, Melbourne, Australia, December 2008.
  67. Augusto de Almeida Prado G. Torácio and Aurora Trinidad Ramírez Pozo. Multiple Objective Particle Swarm for Classification-Rule Discovery, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 684--691, IEEE Press, Singapore, September 2007.
  68. Carolina P. Almeida, Richard A. Gonçalves, Myriam R. Delgado, Elizabeth F. Goldbarg and Marco C. Goldbarg. A Transgenetic Algorithm for the Bi-objective Traveling Purchaser Problem, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 719--726, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  69. Abdullah Alsheddy and Edward E.P.K. Tsang. Guided Pareto Local Search based frameworks for biobjective optimization, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 2770--2777, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  70. Marcos Álvares Barbosa Junior, Fernando Buarque de Lima Neto and Tshilidzi Marwala. Optimizing risk management using NSGA-II, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1325--1332, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  71. Julio E. Alvarez-Benitez, Richard M. Everson and Jonathan E. Fieldsend. A MOPSO Algorithm Based Exclusively on Pareto Dominance Concepts, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 459--473, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  72. Ahmad Al-Yamani, Sadiq M. Sait and Hassan R. Barada. HPTS: Heterogeneous Parallel Tabu Search for VLSI Placement, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 351--355, IEEE Service Center, Piscataway, New Jersey, May 2002.
  73. P. Amato, M. Farina and C. Manara. Analysis of fuzzy-based extensions of Pareto optimality theory, in ERCIM Workshop on Soft Computing, pp. 126--134, Vienna, Austria, July 2004.
  74. Babak Amiri, Liaquat Hossain and John W. Crawford. An Efficient Multiobjective Evolutionary Algorithm for Community Detection in Social Networks, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2193--2199, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  75. Paranya Ammaruekarat and Phayung Meesad. A Chaos Search for Multi-Objective Memetic Algorithm, in 2011 International Conference on Information and Electronics Engineering (ICIEE 2011), pp. 140--144, IACSIT Press, Bangkok, Thailand, May 28-29, 2011.
  76. Lionel Amodeo, Haoxun Chen and Aboubacar El Hadji. Multi-objective Supply Chain Optimization: An Industrial Case Study, in Mario Giacobini et al. (Editors), Applications of Evolutionary Computing. EvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG, pp. 732--741, Springer. Lecture Notes in Computer Science Vol. 4448, Valencia, Spain, April 2007.
  77. Ashish Anand, P. N. Suganthan and Kalyanmoy Deb. A Novel Fuzzy and Multiobjective Evolutionary Algorithm Based Gene Asignment for Clustering Short Time Series Expression Data, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 297--304, IEEE Press, Singapore, September 2007.
  78. Ashish Anand, Nikhil Ranjan Pal and Ponnuthurai Nagaratnam Suganthan. Integration of functional information of genes in fuzzy clustering of short time series gene expression data, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3002--3009, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  79. Yogesh K. Anand, Sanjay Srivastava and Kamal Srivastava. Optimizing the Risk of Occupational Health Hazard in a Multiobjective Decision Environment Using NSGA-II, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 476--484, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  80. Mark A. Anastasio, Matthew A. Kupinski, Robert M. Nishikawa and Maryellen L. Giger. A Multiobjective Approach to Optimizing Compterized Detection Schemes, in 1998 IEEE Nuclear Science Symposium, Vol. 3, pp. 1879--1883, IEEE, 1998.
  81. S. B. D. V. P. S. Anauth and Robert T. F. Ah King. Comparative Application of Multi-Objective Evolutionary Algorithms to the Voltage and Reactive Power optimization Problem in Power Systems, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 424--434, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  82. Kevin P. Anchor, Jesse B. Zydallis, Gregg H. Gunsch and Gary B. Lamont. Extending the Computer Defense Immune System: Network Intrusion Detection with a Multiobjective Evolutionary Programming Approach, in Jonathan Timmis and Peter J. Bentley (editors), First International Conference on Artificial Immune Systems (ICARIS'2002), pp. 12--21, University of Kent at Canterbury, Inglaterra, ISBN 1-902671-32-5, September 2002.
  83. Kevin P. Anchor, Jesse B. Zydallis, Gregg H. Gunsch and Gary B. Lamont. Different Multi-objective Evolutionary Programming Approaches for Detecting Computer Network Attacks, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 707--721, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  84. M. B. Anderson, W. R. Lawrence and G. A. Gebert. Using an Elitist Pareto Genetic Algorithm for Aerodynamic Data Extraction. In 4th Aerospace Sciences Meeting and Exhibit, Reno, Nevada, January 1996. AIAA Paper 96-0514.
  85. M. B. Anderson and W. R. Lawrence. Launch Conditions and Aerodynamic Data Extraction By An Elitist Pareto Genetic Algorithm. In AIAA Atmospheric Flight Mechanics Conference, San Diego, California, July 1996. AIAA Paper 96-3361.
  86. Murray B. Anderson. Using Pareto Genetic Algorithms for Preliminary Subsonic Wing Design. In 6th AIAA/NASA/USAF Multidisciplinary Analysis and Optimization Symposium, Bellevue, Washington, September 1996. AIAA Paper 96-4023.
  87. Jessica M. Anderson, Tessa M. Sayers and M. G. H. Bell. Optimization of a Fuzzy Logic Traffic Signal Controller by a Multiobjective Genetic Algorithm, in Proceedings of the Ninth International Conference on Road Transport Information and Control, pp. 186--190, London, April 1998. IEE.
  88. Murray B. Anderson, J. E. Burkhalter and R. M. Jenkins. Missile Aerodynamic Shape Optimization Using Genetic Algorithms. In AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, January 1999. AIAA Paper 99-0261.
  89. Johan Andersson, Jochen Pohl and Petter Krus. Design of Objective Functions for Optimization of Multi-domain Systems, Proceedings of the 1998 ASME Winter Meeting, Fuild Power Systems and Technology, Anaheim, California, November 15-20, 1998
  90. Johan Andersson, Petter Krus and David Wallace. Multi-Objective Optimization of Hydraulic Actuator Systems, Proceedings of the 2000 ASME Design Automation Conference, Paper DAC-14512, Baltimore, Maryland, September 2000
  91. Johan Andersson and Petter Krus. Metamodel Representations for Robustness Assessment in Multiobjective Optimization, Proceedings of the 13th International Conference on Engineering Design (ICED'01), Glasgow, UK, August 2001.
  92. Johan Andersson. Sensitivity Analysis in Pareto Optimal Design, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 156--161, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.
  93. Johan Andersson. Applications of a Multi-objective Genetic Algorithm to Engineering Design Problems, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 737--751, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  94. Shin Ando, Jun Sakuma and Shigenobu Kobayashi. Adaptive Isolation Model using Data Clustering for Multimodal Function Optimization, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1417--1424, Vol. 2, ACM Press, New York, USA, June 2005.
  95. Shin Ando and Shigenobu Kobayashi. Fitness-based Neighbor Selection for Multimodal Function Optimization, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1573--1574, Vol. 2, ACM Press, New York, USA, June 2005.
  96. Shin Ando and Einoshin Suzuki. Distributed Multi-objective GA for Generating Comprehensive Pareto Front in Deceptive Optimization Problems, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 5718--5725, IEEE, Vancouver, BC, Canada, July 2006.
  97. B. Andrés-Toro, E. Besada-Portas, P. Fernández-Blanco, J.A. López-Orozco and J.M. Girón-Sierra. Multiobjective Optimization of Dynamic Processes by Evolutionary Methods, in Proceedings of the 15th IFAC World Congress on Automatic Control, Barcelona, Spain, July 2002.
  98. M.C. Ang and A.M.S. Zalzala. Application of Pareto-based multiobjectives genetic algorithm in minimum time motion planning, in A. Sen, A.I. Sivakuma and R. Gay (editors), The 4th International Conference on Computer Integrated Manufacturing, ICCIM '97, Vol. 2, pp. 1338--1347, Springer-Verlag, Singapore, October 1997.
  99. Kiam Heong Ang and Yun Li. Multi-Objective Benchmark Studies for Evolutionary Computation, in 2001 Genetic and Evolutionary Computation Conference. Workshop Program, San Francisco, California, pp. 393--396, July 2001.
  100. Kiam Heong Ang, Yun Li and Kay Chen Tan. Multi-Objective Benchmark Functions and Benchmark Studies for Evolutionary Computation, Proceedings of the International Conference on Computational Intelligence for Modelling and Automation (CIMCA'2001), Las Vegas, Nevada, pp. 132--139, July 2001
  101. Kiam Heong Ang, Gregory Chong and Yun Li. Preliminary Statement on the Current Progress of Multi-Objective Evolutionary Algorithm Performance Measurement, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1139--1144, IEEE Service Center, Piscataway, New Jersey, May 2002.
  102. Kiam Heong Ang, Gregory Chong and Yun Li. Visualization Technique for Analyzing Non-Dominated Set Comparison, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 36--40, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.
  103. J. H. Ang, C. K. Goth, E. J. Teoh and A. A. Mamun. Multi-objective Evolutionary Recurrent Neural Networks for System Identification. In 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 1586--1592, IEEE Press, Singapore, September 2007.
  104. Anders Angantyr, Johan Andersson and Jan-Olov Aidanpaa. Constrained Optimization based on a Multiobjective Evolutionary Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1560--1567, IEEE Press, Canberra, Australia, December 2003.
  105. Eric Angel, Evripidis Bampis and Laurent Gourvès. A Dynasearch Neighborhood for the Bicriteria Traveling Salesman Problem, in Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen and Vincent T'kindt (editors), Metaheuristics for Multiobjective Optimisation, pp. 153--176, Springer. Lecture Notes in Economics and Mathematical Systems Vol. 535, Berlin, 2004.
  106. Daniel Angus. Crowding Population-based Ant Colony Optimization for the Multi-objective Travelling Salesman Problem, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 333--340, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  107. Angelo Marcello Anile, Vincenzo Cutello, Giuseppe Nicosia, Rosario Rascunà and Salvatore Spinellain. Comparison among Evolutionary Algorithms and Classical Optimization Methods for Circuit Design Problems, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 765--772, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  108. Luis Miguel Antonio and Carlos A. Coello Coello. Use of Cooperative Coevolution for Solving Large Scale Multiobjective Optimization Problems, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2758--2765, IEEE Press, Cancún, México, 20-23 June, 2013.
  109. Francisco Aparisi and J. Carlos García-Díaz, A Multiobjective Optimization for the EWMA and MEWMA Quality Control Charts, in Proceedings of Inverse Problems, Design and Optimization Symposium (IPDO'2004), Rio de Janeiro, Brazil,March 17-19, 2004.
  110. Masao Arakawa, Hirotaka Nakayama, Ichiro Hagiwara and Hiroshi Yamakawa. Multiobjective Optimization Using Adaptive Range Genetic Algorithms with Data Envelopment Analysis, in A Collection of Technical Papers of the 7th Symposium on Multidisciplinary Analysis and Optimization, paper AIAA-98-4970, pp. 2074--2082, Vol. 3, 1998.
  111. C. Aranha and H. Iba. Modelling Cost into a Genetic Algorithm-Based Portfolio Optimization System by Seeding an Objective Sharing, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 196--203, IEEE Press, Singapore, September 2007.
  112. Danilo R.B. Araújo and Daniel A.R. Chaves. A Performance Comparison of Multi-objective Optimization Evolutionary Algorithms for All-Optical Networks Design, in 2011 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2011), pp. 89--96, IEEE Press, Paris, France, April 11-15, 2011, ISBN 978-1-61284-067-3.
  113. Jambhlekar Pushkar Arun, Manoj Mishra and Sheshasayee V. Subramaniam. Parallel implementation of MOPSO on GPU using OpenCL and CUDA, in 2011 18th International Conference on High Performance Computing (HiPC), IEEE, Bangalore, India, December 18-21, 2011.
  114. Alfredo Arias Montaño, Carlos A. Coello Coello and Efrén Mezura-Montes. MODE-LD+SS: A Novel Differential Evolution Algorithm Incorporating Local Dominance and Scalar Selection Mechanisms for Multi-Objective Optimization, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3284-3291, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  115. Alfredo Arias-Montaño, Carlos A. Coello Coello and Efrén Mezura-Montes. Multi-Objective Airfoil Shape Optimization Using a Multiple-Surrogate Approach, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1188--1195, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  116. Aditya Arikere, Gurunathan Saravana Kumar and Sandipan Bandyopadhyay. Optimisation of Double Wishbone Suspension System Using Multi-Objective Genetic Algorithm, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 445--454, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  117. B. Arkov, D.C. Evans, P.J. Fleming, D.C. Hill, J.P. Norton, I. Pratt, D. Rees and K. Rodríguez Vázquez. System Identification Strategies Applied to Aircraft Gas-Turbine Engines. In 14th IFAC World Congress, volume 1, pages 145-152, Beijing, China, July 1999.
  118. Jesica de Armas and Gara Miranda and Coromoto León. Two Encoding Schemes for a Multi-Objective Cutting Stock Problem, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 529--536, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  119. Jesica de Armas, Yanira Gonzalez, Gara Miranda and Coromoto León. Parallelization of the multi-objective container loading problem, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 155--162, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  120. Rubén Armañanzas and Jose A. Lozano.A Multiobjective Approach to the Portfolio Optimization Problem, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1388--1395, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.
  121. José E. C. Arroyo, André G. Santos, Paula M. dos Santos and Wellington G Ribeiro. A Bi-objective Iterated Local Search Heuristic with Path-Relinking for the p-Median Problem, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 492--504, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  122. T. Arslan, E. Ozdemir, M. S. Bright and D. H. Horrocks. Genetic Synthesis Techniques for Low-Power Digital Signal Processing Circuits, In Proceedings of The IEE Colloquium On Digital Synthesis, pages 7/1-7/5, London, UK, February 1996. IEE.
  123. Md Asafuddoula, Tapabrata Ray, Ruhul Sarker and Khairu Alam. An adaptive constraint handling approach embedded MOEA/D, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 2516--2523, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  124. Giuseppe Ascia, Vincenzo Catania and Maurizio Palesi. Design Space Exploration Methodologies for IP-Based System-on-a-Chip, in IEEE International Symposium on Circuits and Systems, Vol. 2, pp. 364--367, 2002.
  125. Giuseppe Ascia, Vincenzo Catania and Maurizio Palesi. A Framework for Design Space Exploration of Parameterized VLSI Systems, in Proceedings of the 7th Asia and South Pacific Design Automation Conference and the 15th International Conference on VLSI Design, pp. 245--250, IEEE, 2002.
  126. Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi and Davide Patti. Multi-objective Optimization of a Parameterized VLIW Architecture, in Ricardo S. Zebulum, David Gwaltney, Gregory Hornby, Didier Keymeulen, Jason Lohn and Adrian Stoica (editors), Proceedings of the 2004 NASA/DoD Conference on Evolvable Hardware, pp. 191--198, IEEE Computer Society, Los Alamitos, California, June 2004.
  127. Giuseppe Ascia, Vincenzo Catania and Maurizio Palesi. An Evolutionary Approach to Network-on-Chip Mapping Problem, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 112--119, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  128. Giuseppe Ascia, Vincenzo Catania, Alessandro G. Di Nuovo, Maurizio Palesi and Davide Patti. A Multiobjective Genetic Fuzzy Approach for Intelligent System-level Exploration in Parameterized VLIW Processor Design, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 6200--6207, IEEE, Vancouver, BC, Canada, July 2006.
  129. S. S. Askar and A. Tiwari. Finding Exact Solutions for Multi-Objective Optimisation Problems using a Symbolic Algorithm, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 24--30, IEEE Press, Trondheim, Norway, May 2009.
  130. Andi Asmara, Ubald Nienhuis and Robert Hekkenberg. Approximate orthogonal simplification of 3D model, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 1170--1173, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  131. Wesley Klewerton Guez Assunção, Thelma Elita Colanzi, Aurora Trinidad Ramirez Pozo and Silvia Regina Vergilio. Establishing integration Test Orders of Classes with Several Coupling Measures, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 1867--1874, ACM Press, Dublin, Ireland, July 12-16, 2011.
  132. David Atienza, Christos Baloukas, Lazaros Papadopoulos, Christophe Poucet, Stylianos Mamagkakis, Jose I. Hidalgo, Francky Catthoor, Dimitrios Soudris and Juan Lanchares. Optimization of Dynamic Data Structures in Multimedia Embedded Systems Using Evolutionary Computation, In Proceedings of 10th ACM International Workshop on Software & Compilers for Embedded Systems (SCOPES), pp 31--40, ACM Press, Nice, France, 2007.
  133. Aaron Atwater, Malcolm L. Heywood and A. Nur Zincir-Heywood. GP Under Streaming Data Constraints: A Case for Pareto Archiving, in 2012 Genetic and Evolutionary Computation Conference (GECCO'2012), pp. 703--710, ACM Press, Philadelphia, USA, July 2012, ISBN: 978-1-4503-1177-9 .
  134. Aaron Atwater and Malcolm I. Heywood. Benchmarking Pareto Archiving Heuristics in the Presence of Concept Drift: Diversity Versus Age, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 885--892, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  135. Anne Auger, Johannes Bader, Dimo Brockhoff and Eckart Zitzler. Theory of the Hypervolume Indicator: Optimal μ-Distributions and the Choice Of The Reference Point, in FOGA '09: Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic algorithms, pp. 87--102, ACM, Orlando, Florida, USA, January 2009.
  136. Anne Auger, Johannes Bader, Dimo Brockhoff and Eckart Zitzler. Articulating user preferences in many-objective problems by sampling the weighted hypervolume, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 555--562, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9.
  137. Anne Auger, Johannes Bader, Dimo Brockhoff and Eckart Zitzler. Investigating and exploiting the bias of the weighted hypervolume to articulate user preferences, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 563--570, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9.
  138. A. Augugliaro, L. Dusonchet, S. Favuzza and E. Riva Sanseverino. A Fuzzy-Logic based Evolutionary Multiobjective Approach for Automated Distribution Networks Management, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 847--854, Portland, Oregon, USA, June 2004.
  139. Gideon Avigad. multi-Multi-Objective Optimization Problem and Its Solution by a MOEA, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 847--861, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  140. Gideon Avigad and Kalyanmoy Deb. The Sequential Optimization-Constraint Multi-objective Problem and its Applications for robust Planning of robot paths. In 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 2101-2108, IEEE Press, Singapore, September 2007.
  141. Gideon Avigad. A Simultaneous EMO for the Solution of the multi-Multi-Objective Optimization Problem. In 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 2117-2124, IEEE Press, Singapore, September 2007.
  142. Gideon Avigad and Carlos A. Coello Coello. Solving Constrained Multi-Objective Problems by Objective Space Analysis, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 753--754, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6 .
  143. Gideon Avigad and Jürgen Branke. Embedded Evolutionary Multi-Objective Optimization for Worst Case Robustness, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 617--624, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6 .
  144. Gideon Avigad and Erella Eisenstadt. Robustness of Multi-Objective Optimal Solutions to Physical Deterioration Through Active Control, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 394--403, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  145. Gideon Avigad, Erella Eisenstadt and Miri Weiss. The Optimization Versus Survival Problem and Its Solution by an Evolutionary Multi Evolutionary Algorithm, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 494--503, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  146. Maria Vittoria Avolio, Donato D'Ambrosio, Salvatore Di Gregorio, Valeria Lupiano, Rocco Rongo, William Spataro and Giuseppe A. Trunfio. Evaluating Cellular Automata Models by Evolutionary Multiobjective Calibration, in Hiroshi Umeo, Shin Morishita, Katsuhiro Nishinari, Toshihiko Komatsuzaki and Stefania Bandini (editors), Cellular Automata, 8th International Conference on Cellular Automata for Research and Industry, ACRI 2008, pp. 114--119, Springer. Lecture Notes in Computer Science Vol. 5191, Yokohama, Japan, September 23-26, 2008.
  147. Mohamad M. Awad and Kenneth De Jong. Optimization of Spectral Signatures Selection Using Multi-Objective Genetic Algorithms, in 2011 IEEE Congress on Evolutionary Computation(CEC'2011), pp. 1620--1627, IEEE Service Center, New Orleans, Lousiana, USA, 5-8 June, 2011.
  148. Ahmad F. Mohamad Ayob, Tapabrata Ray and Warren F. Smith. Scenario-based Hydrodynamic Design Optimization of High Speed Planing Craft for Coastal Surveillance, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 354--361, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  149. R. Muhammad Atif Azad and Conor Ryan. Variance Selection to Improve Test Set Performance in Genetic Programming, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 1315--1322, ACM Press, Dublin, Ireland, July 12-16, 2011.
  150. Shapour Azarm, Brian J. Reynolds and Sanjay Narayanan. Comparison of Two Multiobjective Optimization Techniques With and Within Genetic Algorithms, In CD-ROM Proceedings of the 25th ASME Design Automation Conference, volume Paper No. DETC99/DAC-8584, Las Vegas, Nevada, September 1999.
  151. Carlos R.B. Azevedo and Aluizio F.R. Araújo. Correlation Between Diversity and Hypervolume in Evolutionary Multiobjective Optimization, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2743--2750, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  152. Carlos R.B. Azevedo and Aluizio F.R. Araújo. Generalized Immigration Schemes for Dynamic Evolutionary Multiobjective Optimization, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2033--2040, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  153. Carlos R.B. Azevedo and Fernando J. Von Zuben. Anticipatory Stochastic Multi-objective Optimization for Uncertainty Handling in Porfolio Selection, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 157--164, IEEE Press, Cancún, México, 20-23 June, 2013.
  154. Carlos R.B. Azevedo and Fernando J. Von Zuben. Regularized Hypervolume Selection for Robust Portfolio Optimization in Dynamic Environments, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2146--2153, IEEE Press, Cancún, México, 20-23 June, 2013.
  155. Regina M. Azuma, Guilherme P. Coelho and Fernando J. Von Zuben. Evolutionary Multi-Objective Optimization for the Vendor-Managed Inventory Routing Problem, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1457--1464, IEEE Service Center, New Orleans, Lousiana, USA, 5-8 June, 2011.
  156. B

  157. Meisam Babaie, Hoseyn Sayyaadi and Mohammad Reza Farmani. Multi-Objective Particle Swarm Optimization and Fuzzy Decision Making in a benchmark cogeneration system, in International Conference on Information Engineering and Computer Science, 2009 (ICIECS 2009), pp. 1--4, IEEE Computer Society, Wuhan, China, December 19-20, 2009.
  158. Meghna Babbar, Ashvin Lakshmikantha and David E. Goldberg. A Modified NSGA-II to Solve Noisy Multiobjective Problems, in James Foster (editors), 2003 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 21--27, AAAI, Chicago, Illinois, USA, July 2003.
  159. B.V. Babu and M. Mathew Leenus Jehan. Differential Evolution for Multi-Objective Optimization, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2696--2703, IEEE Press, Canberra, Australia, December 2003.
  160. B.V. Babu and Ashish M. Gujarathi. Multi-Objective Differential Evolution (MODE) for Optimization of Supply Chain Planning, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 2732-2739, IEEE Press, Singapore, September 2007.
  161. Carlos Bacquet, Nur A. Zincir-Heywood and Malcolm I. Heywood. An analysis of clustering objectives for feature selection applied to encrypted traffic identification, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 865--872, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  162. Khaled M. S. Badran and Peter I. Rockett. The Roles of Diversity Preservation and Mutation in Preventing Population Collapse in Multiobjective Genetic Programming, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 1551--1557, Vol. 2, ACM Press, London, UK, July 2007.
  163. Vikas Baghel, G. Panda, P. Srihari, R. Rajarajeswari and B. Majhi. An efficient multi-objective pulse radar compression technique using RBF and NSGA-II, in World Congress on Nature & Biologically Inspired Computing, NaBIC 2009, pp. 1291--1296, IEEE Press, Coimbatore, India, December 9-11, 2009, ISBN 978-1-4244-5053-4.
  164. Benoit Bagot and Harmut Pohlheim. Complementary Selection and Variation for an Efficient Multiobjective Optimization of Complex Systems, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 751--757, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  165. Benoit Bagot. The Harmonic Decision Matrix: a Subtle Model of the Natural Neuron, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1539--1546, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.
  166. A. Rauf Baig and M. Rashid. Honey Bee Foraging Algorithm for Multimodal & Dynamic Optimization Problems, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 169, Vol. 1, ACM Press, London, UK, July 2007.
  167. Breanna Bailey and Anne Raich. Interactive Multi-Objective Design of Long-Span Trusses, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 902, Vol. 1, ACM Press, London, UK, July 2007.
  168. A. Bajwa, T. Williams and M.A. Stuchly. Design of Broadband Radar Absorbers with Genetic Algorithm, in IEEE International Symposium of the Antennas and Propagation Society, Vol. 4, IEEE, pp. 672--675, 2001.
  169. Jerzy Balicki and Zybmunt Kitowski. Evolutionary Algorithms for Navigation of Underwater Vehicle, in M. Galicki and K. Tchon (editors), Proceedings of the Second International Workshop on Robot Motion and Control, pp. 103--108, 2001.
  170. Jerzy Balicki. Evolutionary algorithms for multicriteria optimization of program module allocations, in M. Koksalan and S. Zionts (eds), 15th International Conference on Multiple Criteria Decision Making (MCDM), Springer-Verlag, Lecture Notes in Economics and Mathematical Sciences, Volume 507, pp. 273--281, 2001.
  171. Jerzy Balicki and Zygmunt Kitowski. Model of the Immune System to Handle Constraints in Evolutionary Algorithm for Pareto Task Assignments, in Mieczyslaw A. Klopotek, Slawomir T. Wierzchon and Krzysztof Trojanowski (editors), Intelligent Information Processing and Web Mining, Proceedings of the International IIS: IIPWM'03, Springer, pp. 3--12, 2003.
  172. Jerzy Balicki. Multi-criterion Evolutionary Algorithm with Model of the Immune System to Handle Constraints for Task Assignments, in Leszek Rutkowski, Jörg H. Siekmann, Ryszard Tadeusiewicz and Lotfi A. Zadeh (Editors), Artificial Intelligence and Soft Computing - ICAISC 2004, 7th International Conference. Proceedings, Springer. Lecture Notes in Computer Science Vol. 3070, pp. 394--399, Zakopane, Poland, June 2004.
  173. Jerzy Balicki. Immune systems in multi-criterion evolutionary algorithm for task assignments in distributed computer system, in Advances in Web Intelligence, Springer, Lecture Notes in Computer Science Vol. 3528, pp. 51--56, 2005.
  174. Jerzy Balicki. Negative selection with ranking procedure in tabu-based multi-criterion evolutionary algorithm for task assignment, Computational Science - ICCS 2006, Pt 3, Proceedings, pp. 863--870, Springer-Verlag, Lecture Notes in Computer Science Vol. 3993, 2006.
  175. Pedro J. Ballester and Jonathan N. Carter. Real-Parameter Genetic Algorithms for Finding Multiple Optimal Solutions in Multi-modal Optimization, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 706--717, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003.
  176. R. J. Balling, J. T. Taber, K. Day and S. Wilson. City Planning with a Multiobjective Genetic Algorithm and a Pareto Set Scanner. In Ian C. Parmee, editor, Proceedings of the Fourth International Conference on Adaptive Computing in Design and Manufacture (ACDM'2000), pages 237-247. PEDC, University of Plymouth, UK, Springer London, 2000.
  177. Richard Balling and Scott Wilson.The Maximim Fitness Function for Multi-objective Evolutionary Computation: Application to City Planning, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 1079--1084, Morgan Kaufmann Publishers, San Francisco, California, July 2001.
  178. Richard Balling. The Maximin Fitness Function; Multiobjective City and Regional Planning, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 1--15, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  179. Alexandre M. Baltar and Darrell G. Fontane. A generalized multiobjective particle swarm optimization solver for spreadsheet models: application to water quality, in Hydrology Days 2006, Fort Collins, Colorado, March 2006.
  180. Sunith Bandaru and Kalyanmoy Deb. Automated discovery of vital knowledge from Pareto-optimal solutions: First results from engineering design, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 1224--1231, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  181. Sunith Bandaru and Kalyanmoy Deb. Automated Innovization for Simultaneous Discovery of Multiple Rules in Bi-objective Problems , in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 1--15, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  182. Sunith Bandaru, Kalyanmoy Deb, Vineet Khare and Rahul Chougule. Quantitative Modeling of Customer Perception From Service Data Using Evolutionary Optimization, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 1763--1770, ACM Press, Dublin, Ireland, July 12-16, 2011.
  183. Sunith Bandaru, Cem Celal Tutum, Kalyanmoy Deb and Jesper Henri Hattel Higher-level Innovization: A Case Study from Friction Stir Welding Process Optimization, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2782--2789, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  184. Sunith Bandaru and Kalyanmoy Deb. A Parameterless-Niching-Assisted Bi-Objective Approach to Multimodal Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 95--102, IEEE Press, Cancún, México, 20-23 June, 2013.
  185. Nilanjan Banerjee and Rajeev Kumar. Multiobjective Network Design for Realistic Traffic Models, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 1904--1911, Vol. 2, ACM Press, London, UK, July 2007.
  186. Indranil Banerjee and Prasun Das. Evolutionary Multi-Objective Bacterial Swarm Optimization (MOBSO): A Hybrid Approach, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 568--572, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  187. Amit Banerjee. On Evolving Neighborhood Parameters for Fuzzy Density Clustering, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 3268--3274, IEEE Press, Cancún, México, 20-23 June, 2013.
  188. Yujun Bao, Hong Jiang, Yuqing Huang and Rongchun Hu. Multi-objective Optimization of Power Control and Resource Allocation for Cognitive Wireless Networks, in 2009 Eigth IEEE/ACIS International Conference on Computer and Information Science (ICIS 2009), pp. 70-74, IEEE Computer Society, Shanghai, China, June, 2009.
  189. Benjamín Barán, José Vallejos, Rodrigo Ramos and Ubaldo Fernández. Reactive Power Compensation using A Multi-objective Evolutionary Algorithm, in IEEE Porto Power Tech Proceedings, Vol. 2, pp. 6--11, Porto, Portugal, IEEE, September 2001.
  190. Benjamín Barán, José Vallejos, Rodrigo Ramos and Ubaldo Fernández. Multi-objective Reactive Power Compensation, in 2001 IEEE/PES Transmission and Distribution Conference and Exposition, Vol. 1, pp. 97--101, IEEE, 2001.
  191. B. Barán and M. Schaerer. A Multiobjective Ant Colony System for Vehicle Routing Problem with Time Windows, in Proceedings of the 21st IASTED International Conference on Applied Informatics, pp. 97--102, IASTED, Innsbruck, Austria, February 2003.
  192. Helio J. C. Barbosa. A coevolutionary genetic algorithm for a game approach to structural optimization. In Thomas Bäck, editor, Proceedings of the Seventh International Conference on Genetic Algorithms, pages 545-552, San Mateo, California, July 1997. Michigan State University, Morgan Kaufmann Publishers.
  193. Helio J.C. Barbosa and André M.S. Barreto.An interactive genetic algorithm with co-evolution of weights for multiobjective problems, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 203--210, Morgan Kaufmann Publishers, San Francisco, California, July 2001.
  194. Carlos Henrique N. de Resende Barbosa, Walmir Matos Caminhas and Joao Antonio de Vasconcelos. Adaptive Technique to Solve Multi-objective Feeder Reconfiguration Problem in Real Time Context, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 418--432, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  195. Vincent Barichard and Jin-Kao Hao. A Population and Interval Constraint Propagation Algorithm, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 88--101, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  196. L. Barone, L. While and P. Hingston. Designing Crushers with a Multi-Objective Evolutionary Algorithm, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 995--1002, Morgan Kaufmann Publishers, San Francisco, California, July 2002.
  197. Luigi Barone, Lyndon While, Paul Hughes and Phil Hingston. Fixture-scheduling for the Australian Footboll League using a Multi-Objective Evolutionary Algorithm, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3377--3384, IEEE, Vancouver, BC, Canada, July 2006.
  198. Julio Barrera and Carlos A. Coello Coello. A Particle Swarm Optimization Method for Multimodal Optimization Based on Electrostatic Interaction, in Arturo Hernández Aguirre, Raúl Monroy Borja and Carlos Alberto Reyes García (editors), MICAI 2009: Advances in Artificial Intelligence. 8th Mexican International Conference on Artificial Intelligence, pp. 622--632, Springer, Lecture Notes in Artificial Intelligence Vol. 5845, Guanajuato, México, November 2009.
  199. Carlos Barrico and Carlos Henggeler Antunes. Robustness Analysis in Multi-Objective Optimization Using a Degree of Robustness Concept, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 6778--6783, IEEE, Vancouver, BC, Canada, July 2006.
  200. Carlos Barrico and Carlos Henggeler Antunes. A New Approach to Robustness Analysis in Multi-Objective Optimization, in Proceedings of the 7th International Conference on Multi-Objective Programming and Goal Programming (MOPGP'06), Loire Valley (City of Tours), France, June 2006.
  201. Márcio de O. Barros. An analysis of the Effects of Composite Objectives in Multiobjective Software Module Clustering, in 2012 Genetic and Evolutionary Computation Conference (GECCO'2012), pp. 1205--1212, ACM Press, Philadelphia, USA, July 2012, ISBN: 978-1-4503-1177-9.
  202. David D. Barth and Michelle D. Moore. A Genetic Algorithm for Multiobjective Multiconstrained Schedule Design, in James Foster (editors), 2003 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 28--30, AAAI, Chicago, Illinois, USA, July 2003.
  203. Thomas Bartz-Beielstein, Philipp Limbourg, Konstantinos E. Parsopoulos, Michael N. Vrahatis, Jörn Mehnen and Karlheinz Schmitt. Particle Swarm Optimizers for Pareto Optimization with Enhanced Archiving Techniques, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1780--1787, IEEE Press, Canberra, Australia, December 2003.
  204. Thomas Bartz-Beielstein, Annette Chmielewski, Michael Janas, Boris Naujoks and Robert Scheffermann. Optimizing Door Assignment in LTL-Terminals by Evolutionary Multiobjective Algorithms, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 348--354, IEEE, Vancouver, BC, Canada, July 2006.
  205. Márcio P. Basgalupp, Rodrigo C. Barros, André C.P.L.F. de Carvalho, Alex A. Freitas and Duncan D. Ruiz. LEGAL-Tree: A Lexicographic Multi-objective Genetic Algorithm for Decision Tree Induction, in Proceedings of the 2009 ACM symposium on Applied Computing (SAC'09), pp. 1085--1090, ACM Press, New York, USA, 2009.
  206. Matthieu Basseur, Franck Seynhaeve and El-ghazali Talbi. Design of multi-objective evolutionary algorithms: Application to the flow-shop, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1151--1156, IEEE Service Center, Piscataway, New Jersey, May 2002.
  207. Matthieu Basseur, Franck Seynhaeve and El-Ghazali Talbi. Adaptive mechanisms for multi-objective evolutionary algorithms, in IMACS multiconference, Computational Engineering in Systems Applications (CESA'03), paper S3-R-00-222, IEEE Service Center, Piscataway, New Jersey, July 2003.
  208. Matthieu Basseur, Julien Lemesre, Clarisse Dhaenens and El-Ghazali Talbi. Cooperation between Branch and Bound and Evolutionary Approaches to Solve a Bi-objective Flow Shop Problem, in Proceedings of the Third International Workshop on Experimental and Efficient Algorithms (WEA'04), pp. 72--86, Springer-Verlag, Angra dos Reis, Brazil, May 2004.
  209. Matthieu Basseur, Franck Seynhaeve and El-Ghazali Talbi. Path Relinking in Pareto Multi-objective Genetic Algorithms, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 120--134, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  210. Matthieu Basseur and Eckart Zitzler. A Preliminary Study on Handling Uncertainty in Indicator-Based Multiobjective Optimization, in Franz Rothlauf et al. (editors), Applications of Evolutionary Computing. EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART and EvoSTOC, pp. 727--739, Springer, Lecture Notes in Computer Science Vol. 3907, Budapest, Hungary, April 2006.
  211. M. Basseur and E. K. Burke. Indicator-Based Multi-Objective Local Search, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3100--3107, IEEE Press, Singapore, September 2007.
  212. Matthieu Basseur, Adrien Goëffon, Arnaud Liefooghe and Sébastien Verel. On Set-based Local Search for Multiobjective Combinatorial Optimization, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 471--478, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  213. R. A. Bates, R. Fontana, L. Pronzato and H. P. Wynn. Multi-Domain Optimisation Using Computer Experiments for Concurrent Engineering, In Ian Parmee, editor, The Integration of Evolutionary and Adaptive Computing Technologies with Product/System Design and Realisation, pages 355--364, Plymouth, United Kingdom, Plymouth Engineering Design Centre, Springer-Verlag, April 1998.
  214. R.A. Bates and H.P. Wynn. The Optimisation of Multivariate Robust Design Criteria, in I.C. Parmee (Editor), Proceedings of the Fifth International Conference on Adaptive Computing Design and Manufacture (ACDM 2002), pp. 285--294, Springer-Verlag, University of Exeter, Devon, UK, April 2002.
  215. R.A. Bates and H.P. Wynn. Robust Solutions in Engineering Design: stochastic simulation versus DACE, in I.C. Parmee (editor), Adaptive Computing in Design and Manufacture VI, pp. 75--86, Springer, London, 2004.
  216. Lucas S. Batista, Frederico G. Guimarães and Jaime A. Ramírez. A Differential Mutation Operator for the Archive Population of Multi-Objective Evolutionary Algorithms, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1108--1115, IEEE Press, Trondheim, Norway, May, 2009.
  217. Lucas S. Batista, Felipe Campelo, Frederico G. Guimarães and Jaime A. Ramírez. A New Self-Adaptive Approach for Evolutionary Multiobjective Optimization, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 511--518, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  218. Lucas S. Batista, Felipe Campelo, Frederico G. Guimarães and Jaime A. Ramírez. Pareto Cone ε-Dominance: Improving Convergence and Diversity in Multiobjective Evolutionary Algorithms, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 76--90, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  219. Lucas S. Batista, Felipe Campelo, Federico G. Guimarães and Jaime A. Ramírez. A comparison of dominance criteria in many-objective optimization problems, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2359--2366, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  220. Joaquín Bautista and Jordi Pereira. Ant Algorithms for Assembly Line Balancing, in Marco Dorigo, Gianni Di Caro and Michael Sampels (editors), Ant Algorithms. Proceedings of the Third International Workshop, ANTS 2002, pp. 65--75, Springer. Lecture Notes in Computer Science, Vol. 2463, Brussels, Belgium, September 2002.
  221. Adil Baykasoglu and Nabil N. Z. Gindy. Loading flexible cell production systems: A tabu search based multiple objective simulation optimisation approach, in M.T. Hillery and H.J. Lewis (editors), 15th International Conference on Production Research, pp. 1441--1444, Vol. 2, Gemini Int. Limited, 9-13, August, University of Limerick, Limerick, Ireland, 1999.
  222. Adil Baykasoglu, Lale Özbakir and Türkay Dereli. Multiple dispatching rule based heuristic for multi-objective scheduling of job shops using tabu search, in Proceedings of MIM 2002: 5th International Conference on Managing Innovations in Manufacturing (MIM), pp. 396--402, Milwaukee, Wisconsin, USA, September 9-11, 2002.
  223. Adil Baykasoglu. Soft computing approaches to production line design, in 3rd International Conference on Responsive Manufacturing (ICRM'2005), pp. 273--279, Guangzhou, China, September 2005.
  224. Adil Baykasoglu, Türkay Dereli and Ibrahim Sabuncu. A multiple objective ant colony optimization approach to assembly line balancing problems, in 35th International Conference on Computers and Industrial Engineering (CIE35), pp. 263--268, 19-22 June 2005, Istanbul, Turkey, 2005.
  225. Yakoub Bazi and Farid Melgani. A Multiobjective PSO Inflation methodology for SVM Regression with Limited Training Samples, in 2007 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2007), pp. 4360--4363, IEEE Computer Society, Barcelona, Spain, July, 2007.
  226. Slim Bechikh, Nabil Belgasmi, Lamjed Ben Said and Khaled Ghédira. PHC-NSGA-II: A novel multi-objective memetic algorithm for continuous optimization, in Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'08), Vol. 1, pp. 180--189, IEEE Computer Society, USA, 2008.
  227. Slim Bechikh, Lamjed Ben Said and Khaled Ghédira. Searching for Knee Regions in Multi-objective Optimization using Mobile Reference Points, in The 25th Annual ACM Symposium on Applied Computing (SAC'2010), pp. 1118--1125, ACM Press, Sierre, Switzerland, March 22-26, 2010.
  228. Slim Bechikh, Lamjed Ben Said and Khaled Ghedira. Estimating Nadir Point in Multi-objective Optimization using Mobile Reference Points, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 2129--2137, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  229. Slim Bechikh, Lamjed Ben Said and Khaled Ghedira. Estimating nadir point in multi-objective optimization using mobile reference points, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 2129--2137, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  230. Slim Bechikh, Lamjed Ben Said and Khaled Ghédira. Negotiating decision makers' reference points for group preference-based Evolutionary Multi-objective Optimization, in Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems (HIS), pp. 377--382, IEEE Press, Melacca, Malaysia, 5-8 December 2011.
  231. Saeed Behbahani and Clarence W. de Silva. A New Multi-Criteria Mechatronic Design Methodology Using Niching Genetic Algorithm, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 1031--1036, IEEE, Vancouver, BC, Canada, July 2006.
  232. A. D. Belegundu, D. V. Murthy, R. R. Salagame and E. W. Constants. Multiobjective Optimization of Laminated Ceramic Composites Using Genetic Algorithms. In Fifth AIAA/USAF/NASA Symposium on Multidisciplinary Analysis and Optimization, pages 1015-1022, Panama City, Florida, 1994. AIAA. Paper 84-4363-CP.
  233. Lamia Belfares and Adel Guitouni. Multi-objective Genetic Algorithms for Courses of Action Planning, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1543--1551, IEEE Press, Canberra, Australia, December 2003.
  234. Nabil Belgasmi, Lamjed Ben Saïd and Khaled Ghédira. Genetic Optimization of the Multi-Location Transshipment Problem with Limited Storage Capacity, in Malik Ghallab, Constantine D. Spyropoulos, Nikos Fakotakis and Nikos Avouris (Eds.), Proceedings of the 18th European Conference on Artificial Intelligence (ECAI 2008), pp. 563--567, IOS Press, Amsterdam, The Netherlands, July 21-25, 2008.
  235. Nabil Belgasmi, Lamjed Ben Saïd and Khaled Ghédira. Evolutionary optimization of the multiobjective transshipment problem with limited storage capacity, in M.D. Rossetti, R.R. Hill, B. Johansson, A. Dunkin and R.G. Ingalls (Eds.), Proceedings of the 2009 Winter Simulation Conference (WSC'09), pp. 2375--2383, IEEE Press, Austin, Texas, USA, December 13-16, 2009.
  236. Nabil Belgasmi, Lamjed Ben Said and khaled Ghedira. Greedy Local Improvement of SPEA2 Algorithm to Solve the Multiobjective Capacitated Transshipment Problems, in Carlos A. Coello Coello (editor), Learning and Intelligent Optimization, 5th International Conference, LION 5, pp. 364--378, Springer. Lecture Notes in Computer Science Vol. 6683, Rome, Italy, January 17-21, 2011.
  237. Yamina Mohamed Ben Ali. Evolutionary Bi-objective Learning with Lowest Complexity in Neural Networks: Empirical Comparisons, in Bartlomiej Beliczynski andrzej Dzielinski, Marcin Iwanowski and Bernardete Ribeiro (editors), Adaptive and Natural Computing Algorithms, 8th International Conference, ICANNGA 2007, Part I, pp. 128--137, Springer-Verlag. Lecture Notes in Computer Science Vol. 4431, Warsaw, Poland, April 2007.
  238. L. Benameur, J. Alami and A. El Imrani. A New Hybrid Particle Swarm Optimization Algorithm for Handling Multiobjective Problem Using Fuzzy Clustering Technique, in 2009 International Conference on Computational Intelligence, Modelling and Simulation, pp. 48--53, IEEE Computer Society Press, Brno, Czech Republic, September, 2009.
  239. Elhadj Benkhelifa, Mansour Moniri, Ashutosh Tiwari and Alfonso G. de Rueda. Evolutionary Multi-objective Design Optimisation of Energy Harvesting MEMS, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1856--1863, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  240. P.J. Bentley and J.P. Wakefield. Finding Acceptable Solutions in the Pareto-Optimal Range using Multiobjective Genetic Algorithms, In P.K. Chawdhry, R. Roy and R.K. Pant, editors, Soft Computing in Engineering Design and Manufacturing, Part 5, pp. 231--240, London, June 1997. Springer Verlag London Limited. (Presented at the 2nd On-line World Conference on Soft Computing in Design and Manufacturing (WSC2)).
  241. P.J. Bentley and J.P. Wakefield. Overview of Generic Evolutionary Design Systems, In Proceedings of the 2nd On-Line World Conference on Evolutionary Computation (WEC2), pp. 53--56, 1997.
  242. P.K. Bergey. An agent enhanced intelligent spreadsheet solver for multi-criteria decision making, in Proceedings of the Fifth Americas Conference on Information Systems (AMCIS'99), pp. 966--968, Milwaukee, USA, August 1999.
  243. Rudolf Berghammer, Tobias Friedrich and Frank Neumann. Set-Based Multi-Objective Optimization, Indicators, and Deteriorative Cycles, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 495--502, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.
  244. F. Berlanga, M.J. del Jesus, P. Gonzalez, F. Herrera and M. Mesonero, Multiobjective evolutionary induction of subgroup discovery fuzzy rules: A case study in marketing, in Advances in Data Mining, pp. 337--349, Springer-Verlag, Lecture Notes in Artificial Intelligence Vol. 4065, 2006.
  245. Antonio Berlanga and Jesús García Herrero and José Manuel Molina. Multiobjective Evolutionary Algorithms: Applications in Real Problems, in Joan Cabestany, Francisco Sandoval, Alberto Prieto and Juan M. Corchado (editors), Bio-Inspired Systems: Computational and Ambient Intelligence, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, pp. 714--719, Springer. Lecture Notes in Computer Science Vol. 5517, Salamanca, Spain, June 10-12, 2009.
  246. Yaniv Bernstein, Xiaodong Li, Vic Ciesielski and Andy Song. Improving Generalisation Performance Through Multiobjective Parsimony Enforcement, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 702--703, Seattle, Washington, USA, June 2004.
  247. Yaniv Bernstein, Xiaodong Li, Vic Ciesielski and Andy Song. Multiobjective Parsimony Enforcement for Superior Generalisation Performance, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 83--89, Portland, Oregon, USA, June 2004.
  248. Alain Berro and Yves Duthen. Search for optimum in dynamic environment: a efficient agent-based method, 2001 Genetic and Evolutionary Computation Conference. Workshop Program, San Francisco, California, pp. 51--54, July 2001
  249. Alain Berro and Stephane Sanchez. Autonomous Agent for Multi-objective Optimization, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 251--252, Seattle, Washington, USA, June 2004.
  250. Adam Berry and Peter Vamplew. A Simplified Artificial Life Model for Multiobjective Optimisation: A Preliminary Report, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 1331--1339, IEEE Press, Canberra, Australia, December 2003 (note).
  251. Adam Berry and Peter W. Vamplew. A Language for Platform Independent Communication and Storage in Multiobjective Optimisation, in M. Negnevitsky (editor), Proceedings of AISAT2004: International Conference on Artificial Intelligence in Science and Technology, pp. 308--313, University of Tasmania, Hobart, Australia, November 2004, ISBN 1862952094.
  252. Adam Berry and Peter Vamplew. The Combative Accretion Model--Multiobjective Optimisation Without Explicit Pareto Ranking, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 77--91, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 (note).
  253. Adam Berry and Peter Vamplew. An Efficient Approach to Unbounded Bi-Objective Archives---Introducing the Mak_Tree Algorithm, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 619--626, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  254. A.M. Berry, D.J. Cornforth and G. Plat. An Introduction to Multiobjective Optimisation Methods for Decentralised Power Planning, in IEEE Power & Energy Society General Meeting, 2009 (PES'09), pp. 2148--2156, IEEE Press, Calgary, Canada, 26-30 July, 2009, ISBN 978-1-4244-4240-9.
  255. Adam Berry and David Cornforth. Designing Multiple Inverter Systems with Evolutionary Multiobjective Optimisation, in Proceedings of the IEEE Energy Conversion Congress and Exposition, IEEE Press, San Jose, California, USA, September 2009.
  256. Christopher Best, Xiangdong Che, Robert G. Reynolds and Dapeng Liu. Multi-objective Cultural Algorithms, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3330--3338, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  257. Ilaria Bertini, Matteo De Felice, Fabio Moretti and Stefano Pizzuti. Start-Up Optimisation of a Combined Cycle Power Plant with Multiobjective Evolutionary Algorithms, in Cecilia Di Chio, Anthony Brabazon, Gianni A. Di Caro, Marc Ebner, Muddassar Farooq, Andreas Fink, Jörn Grahl, Gary Greenfield, Penousal Machado, Michael O'Neill, Ernesto Tarantino and Neil Urquhard (editors), Applications of Evolutionary Computation, EvoApplications 2010: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoMUSART and EvoTRANSLOG, pp. 151--160, Springer. Lecture Notes in Computer Science Vol. 6025, Istanbul, Turkey, April 7-9, 2010.
  258. Leonardo C.T. Bezerra, Elizabeth F.G. Goldbarg, Luciana S. Buriol and Marco C. Goldbarg. GRACE: A Generational Randomized ACO for the Multi-objective Shortest Path Problem, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 535--549, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  259. Maumita Bhattacharya. Counter-Niching for Constructive Population Diversity, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 4174--4179, IEEE Service Center, Hong Kong, June 2008.
  260. Siddhartha Bhattacharyya. Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing, in Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 465--471, ACM Press, New York, 2000.
  261. Urvesh Bhowan, Mengjie Zhang and Mark Johnston. AUC Analysis of the Pareto-Front Using Multi-Objective GP for Classification with Unbalanced Data, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 845--852, ACM Press, Portland, Oregon, USA, July 7--11, 2010. ISBN 978-1-4503-0072-8. .
  262. Urvesh Bhowan, Mark Johnston and Menjie Zhang. Evolving Ensembles in Multi-Objective Genetic Programming for Classification with Unbalanced Data, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 1331--1338, ACM Press, Dublin, Ireland, July 12-16, 2011.
  263. Urvesh Bhowan, Mark Johnston and Mengjie Zhang. Ensemble Learning and Pruning in Multi-Objective Genetic Programming for Classification with Unbalanced Data, in Dianhui Wang and Mark Reynolds (editors), AI 2011: Advances in Artificial Intelligence, 24th Australasian Joint Conference, pp. 192--202, Springer. Lecture Notes in Computer Science Vol. 7106, Perth, Australia, December 5-8, 2011.
  264. J. Bhuvana and C. Aravindan. Design of Hybrid Genetic Algorithm with Preferential Local Search for Multiobjective Optimization Problems, in Vinu V. Das, Gylson Thomas and Ford Lumban Gaol (editors), Information Technology and Mobile Communication, International Conference, AIM 2011, pp. 312--316, Nagpur, Maharashtra, India, April 21-22, 2011.
  265. B. Bica, A.J. Chipperfield, P.J. Fleming and Sheena MacKenzie. Enhancing the Performance of a Multivariable Fuzzy Controller by Means of a Multiobjective Genetic Programming and Statistical Analysis, in 26th Annual Conference of the IEEE Industrial Electronics Society, Vol. 3, pp. 1686--1691, IEEE, 2000.
  266. Alexis Bienvenüe, Marc Joannides, Jean Bérard, éric Fontenas and Olivier François. Niching in Monte Carlo Filtering Algorithms, in Pierre Collet, Cyril Fonlupt, Jin-Kao Hao, Evelyne Lutton and Marc Schoenauer (editors), Artifial Evolution. Selected Papers from the 5th International Conference, Evolution Artificielle, EA 2001, pp. 19--30, Springer. Lecture Notes in Computer Science Vol. 2310, October 2001.
  267. Zafer Bingul, Ali Sekmen and Saleh Zein-Sabatto. Adaptive Genetic Algorithms Applied to Dynamic Multi-Objective Problems. In Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Stephen Kercel, editors, Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE'2000), pages 273-278, New York, 2000. ASME Press
  268. Zafer Bingul, Ali Sekmen and Saleh Zein-Sabatto. Genetic Algorithms Applied to Real Time Multi-Objective Optimization Problems. In Proceedings of the 2000 IEEE SouteastCon Conference (SoutheastCON'2000), pp.95--103, Nasstrategie für Mehrgrößensysteme zur Polgebietsvorgabe. PhD thesis, Institute of Automation, University of Magdeburg, Germany, 1994.
  269. To Thanh Binh and Urlich Korn. An evolution strategy for the multiobjective optimization, In The Second International Conference on Genetic Algorithms (Mendel 96), pages 23-28, Brno, Czech Republic, 1996.
  270. To Thanh Binh and Urlich Korn. Multicriteria control system design using an intelligent evolution strategy with dynamical constraints boundaries, In Proceedings of the Conference for Control of Industrial Systems (CIS'97), volume 2, pages 242-247, Belfort, France, 1997.
  271. To Thanh Binh and Urlich Korn. Multiobjective Evolution Strategy for Constrained Optimization Problems, In Proc. of the IMACS World Congress on Scientific Computation, Modelling and Applied Mathematics, pages 357-362, Berlin, Germany, 1997.
  272. To Thanh Binh and Urlich Korn. MOBES: A multiobjective evolution strategy for constrained optimization problems, In The Third International Conference on Genetic Algorithms (Mendel 97), pages 176-182, Brno, Czech Republic, 1997.
  273. To Thanh Binh and Urlich Korn. Scalar optimization with linear and nonlinear constraints using evolution strategies, In Bernd Reusch, editor, Lecture Notes in Computer Science, pages 381-392. Springer-Verlag, April 1997.
  274. To Thanh Binh. A Multiobjective Evolutionary Algorithm: The Study Cases, In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 127-128, Orlando, Florida, July 1999.
  275. Stefan Bird and Xiaodong Li. Adaptively Choosing Niching Parameters in a PSO, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 3--9, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  276. Michael S. Bittermann, Özer Ciftcioglu and I. Sevil Sariyildiz. A cognitive system based on fuzzy information processing and multi-objective evolutionary algorithm, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1271--1280, IEEE Press, Trondheim, Norway, May, 2009.
  277. Michael S. Bittermann and I. Sevil Sariyildiz. An Adaptive Multi-Objective Evolutionary Algorithm With Human-Like Reasoning For Enhanced Decision-Making In Building Design, in 2011 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2011), pp. 105--112, IEEE Press, Paris, France, April 11-15, 2011, ISBN 978-1-61284-067-3.
  278. I. Blecic, A. Cecchini and G.A. Trunfio. A decision support tool coupling a causal model and a multi-objective genetic algorithm, Innovations in Applied Intelligence, Springer, Lecture Notes in Artificial Intelligence Vol. 3533, pp. 628--637, 2005.
  279. Matthias Blesken, Anouar Chebil, Ulrich Rückert, Xavier Esquivel and Oliver Schütze. Integrated Circuit Optimization by Means of Evolutionary Multi-Objective Optimization, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 807--812, ACM Press, Dublin, Ireland, July 12-16, 2011.
  280. Stefan Bleuler, Martin Braek, Lothar Thiele and Eckart Zitzler. Multiobjective Genetic Programming: Reduing Bloat Using SPEA2, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, IEEE Service Center, Piscataway, New Jersey, pp. 536--543, May 2001.
  281. Stefan Bleuler, Marco Laumanns, Lothar Thiele and Eckart Zitzler. PISA---A Platform and Programming Language Independent Interface for Search Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 494--508, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  282. Tobias Blickle, Jürgen Teich and Lothar Thiele. An evolutionary approach to system-level synthesis, In Proc. 5th International Workshop on Hardware/Software Codesign, pages 167-172. IEEE Computer Society Press, 1997.
  283. Anna L. Blumel, Evan J. Hughes and Brian A. White. Fuzzy Autopilot Design using a Multiobjective Evolutionary Algorithm, In 2000 IEEE Congress on Evolutionary Computation, volume 1, pages 54-61, Piscataway, New Jersey, July 2000. IEEE Service Center.
  284. Anna L. Blumel and Brian A. White. Multiobjective Optimization of Fuzzy Logic Scheduled Controllers for Missile Autopilot Design, in Joint 9th IFSA World Congress and 20th NAFIPS International Conference, IEEE, Vol. 3, pp. 1758--1763, 2001.
  285. Cristiana Bolchini, Pier Luca Lanzi and Antonio Miele. A Multi-Objective Genetic Algorithm Framework for Design Space Exploration of Reliable FPGA-based Systems, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 419--426, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  286. Pruet Boonma and Junichi Suzuki. MONSOON: A Coevolutionary Multiobjective Adaptation Framework for Dynamic Wireless Sensor Networks, in Proceedings of the 41st Hawaii International Conference on System Sciences - 2008, pp. 1--10, IEEE Computer Society Press, Big Island, Hawaii, January 2008.
  287. Carlos C.H. Borges and Helio J.C. Barbosa. A Non-generational Genetic Algorithm for Multiobjective Optimization, In 2000 IEEE Congress on Evolutionary Computation, volume 1, pages 172--179, IEEE Service Center, San Diego, California, July 2000.
  288. István Borgulya. An EC-Memory based Method for the Multi-Objective TSP, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 903, Vol. 1, ACM Press, London, UK, July 2007.
  289. F. Boschetti, M. Dentith and R. List. Genetic Algorithms Incorporating a Pseudo Subspace Method, In Proceedings of the Second International Conference on Evolutionary Computation, pages 557-560, november 1995.
  290. Peter A.N. Bosman and Dirk Thierens. The Naive MIDEA: A Baseline Multi-objective EA, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 428--442, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  291. Peter A.N. Bosman and Edwin D. de Jong. Exploiting Gradient Information in Numerical Multi-Objective Evolutionary Optimization, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 755--762, Vol. 1, ACM Press, New York, USA, June 2005.
  292. Peter A.N. Bosman and Edwin D. de Jong. Combining Gradient Techniques for Numerical Multi-Objective Evolutionary Optimization, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 627--634, Vol. 1, ACM Press. ISBN 1-59593-186-4, Seattle, Washington, USA, July 2006.
  293. Peter A.N. Bosman and Dirk Thierens. Adaptive Variance Scaling in Continuous Multi-Objective Estimation-of-Distribution Algorithms, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 500--507, Vol. 1, ACM Press, London, UK, July 2007.
  294. Peter A.N. Bosman. The Anticipated Mean Shift and Cluster Registration in Mixture-Based EDAs for Multi-Objective Optimization, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 351--358, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.
  295. Peter A. N. Bosman and Tanja Alderliesten. Incremental Gaussian Model-Building in Multi-Objective EDAs with an Application to Deformable Image Registration, in 2012 Genetic and Evolutionary Computation Conference (GECCO'2012), pp. 241--248, ACM Press, Philadelphia, USA, July 2012, ISBN: 978-1-4503-1177-9.
  296. Martijn C.J. Bot. Improving Induction of Linear Classification Trees with Genetic Programming,In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 403-410, San Francisco, California, 2000. Morgan Kaufmann.
  297. Celso P. Bottura and Joao V. da Fonseca Neto. Rule-based Decision-making Unit for Eigenstructure Assignment via Parallel Genetic Algorithm and LQR Designs, in Proceedings of the 2000 American Control Conference, Vol. 1, pp. 467--471, 2000.
  298. Farid Bourennani, Shahryar Rahnamayan and Greg F. Naterer. Leaders and Speed Constraint Multi-Objective Particle Swarm Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 908--915, IEEE Press, Cancún, México, 20-23 June, 2013.
  299. Mustafa Bozkurt. Cost-aware Pareto Optimal Test Suite Minimisation for Service-centric Systems, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 1429--1436, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  300. Lucas Bradstreet, Luigi Barone and Lyndon While. Map-labelling with a Multi-objective Evolutionary Algorithm, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1937--1944, Vol. 2, ACM Press, New York, USA, June 2005.
  301. Lucas Bradstreet, Luigi Barone and Lyndon While. Maximising Hypervolume for Selection in Multi-objective Evolutionary Algorithms, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 6208--6215, IEEE, Vancouver, BC, Canada, July 2006.
  302. Lucas Bradstreet, Luigi Barone, Lyndon While, Simon Huband and Phillip Hingston. Use of the WFG Toolkit and PISA for Comparison of MOEAs, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 382--389, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  303. Lucas Bradstreet, Lyndon While and Luigi Barone. Incrementally Maximising Hypervolume for Selection in Multi-Objective Evolutionary Algorithms, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3203--3210, IEEE Press, Singapore, September 2007.
  304. Lucas Bradstreet, Luigi Barone and Lyndon While. Updating Exclusive Hypervolume Contributions Cheaply, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 538--544, IEEE Press, Trondheim, Norway, May 2009.
  305. Lucas Bradstreet, Lyndon While and Luigi Barone. A Fast Many-objective Hypervolume Algorithm using Iterated Incremental Calculations, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 179--186, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  306. Oliver Brandte and Sergey Malinchik. A Broad and Narrow Approach to Interactive Evolutionary Design - An Aircraft Design Example, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 883--895, Seattle, Washington, USA, June 2004.
  307. Jürgen Branke, Thomas Kaußler and Hartmut Schmeck. Guiding Multi-Objective Evolutionary Algorithms Towards Interesting Regions, In Ian C. Parmee, editor, Fourth International Conference on Adaptive Computing in Design and Manufacture (ACDM 2000), Poster Proceedings, pages 1-4. Plymouth Engineering Design Centre, University of Plymouth, April 2000.
  308. Jürgen Branke, Hartmut Schmeck, Kalyanmoy Deb and Maheshwar Reddy. Parallelizing Multi-Objective Evolutionary Algorithms: Cone Separation, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1952--1957, Portland, Oregon, USA, June 2004.
  309. Jürgen Branke, Kalyanmoy Deb, Henning Dierolf and Matthias Osswald. Finding Knees in Multi-Objective Optimization, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 722--731, Birmingham, UK, September 2004.
  310. Amaury T. Brasil Filho, Placido R. Pinheiro, Andre L. V. Coelho and Nathanael C. Costa. Comparison of Two Prototype-Based Multicriteria Classification Methods, in 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2009), pp. 133--140, IEEE Press, Nashville, TN, USA, March 30--April 2 2009. ISBN 978-1-4244-2764-2 .
  311. Christiane Regina Soares Brasil, Alexandre Cláudio Botazzo Delbem and Daniel Rodrigo Ferraz. Investigating Relevant Aspects of MOEAs for Protein Structures Prediction, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 705--712, ACM Press, Dublin, Ireland, July 12-16, 2011.
  312. Marlon Alexander Braun, Pradyumn Kumar Shukla and Hartmut Schmeck. Preference Ranking Schemes in Multi-Objective Evolutionary Algorithms, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 226--240, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  313. Jan Braun, Johannes Krettek, Frank Hoffmann and Torsten Bertram. Structure and Parameter Identification of Nonlinear Systems with an Evolution Strategy, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2444--2451, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  314. Mihaela Breaban and Henri Luchian. Unsupervised Feature Weighting with Multi Niche Crowding Genetic Algorithms, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1163--1170, ACM Press, Montreal, Canada, July 8--12, 2009. ISBN 978-1-60558-325-9.
  315. Paul Bremner, Mohammad Samie, Anthony G. Pipe and Andy Tyrrell. Multi-Objective Optimisation of Cell-Array Circuit Evolution, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 440--446, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  316. M. S. Bright and T. Arslan. Multi-Objective Design Strategy for High-Level Low-Power Design of DSP Systems, In IEEE International Symposium on Circuits and Systems, ISCAS 99, volume 1, pages 80-83, Florida, USA, May-June 1999.
  317. M. S. Bright and T. Arslan. Effective Design Exploration through Multi-Objective High-Level DSP Synthesis. In IEEE International ASIC/SOC Conference, pages 115-118, Florida, USA, September 1999.
  318. M. S. Bright and T. Arslan. Optimal Supply Voltage Selection through a Multiobjective Design Strategy. In IEEE 33rd Asilomar Conference on Signals, Systems and Computers, pages 374-377, Pacific Grove, California, October 1999.
  319. Karl Bringmann and Tobias Friedrich. Don't be Greedy when Calculating Hypervolume Contributions, in FOGA '09: Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic algorithms, pp. 103--112, ACM, Orlando, Florida, USA, January 2009.
  320. Karl Bringmann and Tobias Friedrich. The Maximum Hypervolume Set Yields Near-Optimal Approximation, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 511--518, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.
  321. Karl Bringmann and Tobias Friedrich. Convergence of Hypervolume-Based Archiving Algorithms I: Effectiveness, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 745--752, ACM Press, Dublin, Ireland, July 12-16, 2011.
  322. Karl Bringmann and Tobias Friedrich. Convergence of Hypervolume-Based Archiving Algorithms II: Competitiveness, in 2012 Genetic and Evolutionary Computation Conference (GECCO'2012), pp. 457--464, ACM Press, Philadelphia, USA, July 2012, ISBN: 978-1-4503-1177-9.
  323. Karl Bringmann and Tobias Friedrich. Parameterized Average-Case Complexity of the Hypervolume Indicator, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 575--582, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  324. Alexandra Melike Brintrup, Jeremy Ramsden and Ashutosh Tiwari. Integrated Qualitativeness in Design by Multi-Objective Optimization and Interactive Evolutionary Computation, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2154--2160, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.
  325. Alexandra Melike Brintrup, Hideyuki Takagi and Jeremy Ramsden. Evaluation of Sequential, Multi-objective and Parallel Interactive Genetic Algorithms for Multi-objective Floor Plan Optimisation, in Franz Rothlauf et al. (editors), Applications of Evolutionary Computing. EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART and EvoSTOC, pp. 586--598, Springer, Lecture Notes in Computer Science Vol. 3907, Budapest, Hungary, April 2006.
  326. M.-O. Bristeau, R. Glowinski, B. Mantel, J. Periaux and M. Sefrioui. Genetic algorithms for RCS minimization of aerodynamic shapes by active reflectors. In Y. Rahmat-Samii and E. Michielssen, editors, System Design Using Evolutionary Optimization: Genetic Algorithms. John Wiley, 1998.
  327. Julio Brito, Airam Expósito and Josó A. Moreno-Pérez. Bi-objective Discrete PSO for Service-oriented VRPTW, in David Greiner, Blas Galván, Jacques Périaux, Nicolas Gauger, Kyriakos Giannakoglou and Gabriel Winter (Editors), Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2013), pp. 220-223, Universidad de las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain, October 7-9, 2013, ISBN 978-84-616-6249-4.
  328. R. Brits, A.P. Engelbrecht and F. van den Bergh. A Niching Particle Swarm Optimizer, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 692--696, Vol. 2, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.
  329. Andre Britto and Aurora Pozo. Using archiving methods to control convergence and diversity for Many-Objective Problems in Particle Swarm Optimization, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 597--604, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  330. Ricardo Britto, Pedro Santos Neto, Ricardo Rabelo, Werney Ayala and Thiago Soares. A Hybrid Approach to Solve the Agile Team Allocation Problem, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 3498--3505, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  331. Andre Britto, Sanaz Mostaghim and Aurora Pozo. Iterated Multi-Swarm: A Multi-Swarm Algorithm Based on Archiving Methods, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 583--590, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  332. Carlos A. Brizuela and Rodrigo Aceves. Experimental Genetic Operators Analysis for the Multi-objective Permutation Flowshop, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 578--592, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  333. Carlos A. Brizuela and Everardo Gutiérrez. Multi-objective Go with the Winners Algorithm: A Preliminary Study, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 206--220, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  334. Carlos A. Brizuela, Jorge E. Luna-Taylor, Israel Martinez-Perez, Hugo A. Guillen, David O. Rodriguez and Armando Beltran-Verdugo. Improving an Evolutionary Multi-objective Algorithm for the Biclustering of Gene Expression Data, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 221--228, IEEE Press, Cancún, México, 20-23 June, 2013.
  335. Darwin Brochero, Christian Gagné and François Anctil. Evolutionary Multiobjective Optimization for Selecting Members of an Ensemble Streamflow Forecasting Model, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 1221--1228, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  336. Dimo Brockhoff, Tobias Friedrich, Nils Hebbinghaus, Christian Klein, Frank Neumann and Eckart Zitzler. Do Additional Objectives Make a Problem Harder?, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 765--772, Vol. 1, ACM Press, London, UK, July 2007.
  337. Dimo Brockhoff and Eckart Zitzler. Improving Hypervolume-based Multiobjective Evolutionary Algorithms by Using Objective Reduction Methods. In 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 2086-2093, IEEE Press, Singapore, September 2007.
  338. Dimo Brockhoff and Eckart Zitzler. Dimensionality Reduction in Multiobjective Optimization: The Minimum Objective Subset Problem, in Karl Heinz Waldmann and Ulrike M. Stocker (Editors), Operations Research Proceedings 2006, pp. 423--429, Springer, Saarbücken, Germany, 2007.
  339. Dimo Brockhoff. Optimal μ-Distributions for the Hypervolume Indicator for Problems with Linear Bi-Objective Fonts: Exact and Exhaustive Results, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 24--34, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  340. Dimo Brockhoff, Tobias Wagner and Heike Trautmann. On the Properties of the R2 Indicator, in 2012 Genetic and Evolutionary Computation Conference (GECCO'2012), pp. 465--472, ACM Press, Philadelphia, USA, July 2012, ISBN: 978-1-4503-1177-9.
  341. Dimo Brockhoff, Manuel López-Ibáñez, Boris Naujoks and Günter Rudolph. Runtime Analysis of Simple Interactive Evolutionary Biobjective Optimization Algorithms, in Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia and Mario Pavone (editors), Parallel Problem Solving from Nature - PPSN XII, 12th International Conference, pp. 123--132, Springer. Lecture Notes in Computer Science Vol. 7491, Taormina, Italy, September 1-5, 2012.
  342. A. J. Brown and M. Thomas. Reengineering the Naval Ship Design Process, In Proceedings of From Research to Reality in Ship Systems Engineering Symposium, page 277, University of Essex, United Kingdom, 1998. ASNE.
  343. Martin Brown and Robert E. Smith. Effective Use of Directional Information in Multi-objective Evolutionary Computation, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 778--789, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003.
  344. Matthew Brown, Neil Mudford, Andrew J. Neely and Tapabrata Ray. Robust Design Optimization of Two-Dimensional Scramjet Inlets, in 14th AIAA/AHI Space Planes and Hypersonic Systems and Technologies Conference, Paper AIAA 2006-8140, American Institute of Aeronautics and Astronautics, Cranberra, Australia, 2006.
  345. Martin Brown and Nicky Hutauruk. On the Convergence of Multi-Objective Descent Algorithms, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 253--260, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  346. Jason Brownlee. IIDLE: An Immunological Inspired Distributed Learning Environment for Multiple Objective and Hybrid Optimisation, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 1614--1620, IEEE, Vancouver, BC, Canada, July 2006.
  347. Anthony Bucci and Jordan Pollack. Order-theoretic Analysis of Coevolution Problems: Coevolutionary Statics, in Alwyn M. Barry (editor), GECCO 2002: Proceedings of the Bird of a Feather Workshops, Genetic and Evolutionary Computation Conference, pp. 229--235, AAAI, New York, July 2002.
  348. Anthony Bucci, Jordan B. Pollack and Edwin de Jong. Automated Extraction of Problem Structure, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 501--512, Seattle, Washington, USA, June 2004.
  349. Anna L. Buczak and V. R. Jamalabad. Self-organization of a Heterogeneous Sensor Network by Genetic Algorithms, In C. H. Dagli, M. Akay, A. L. Buczak, O. Ersoy and B.R. Fernández, editors, Intelligent Engineering Systems Through Artificial Neural Networks, volume 8, pages 259-264, New York, 1998. ASME Press.
  350. Dirk Büche and Rolf Dornberger. New Evolutionary Algorithm for Multi-Objective Optimization and the Application to Engineering Design Problems, Proceedings of the Fourth World Congress of Structural and Multidisciplinary Optimization, Dalian, China, 2001.
  351. Dirk Büche and Peter Stoll and Petros Koumoutsakos. An evolutionary algorithm for multi-objective optimization of combustion processes, in Center for Turbulence Research. Annual Research Briefs, pp. 231--239, Stanford University, California, USA, 2001.
  352. Dirk Büche, Michele Milano and Petros Koumoutsakos. Self-Organizing Maps for Multi-Objective Optimization, in Alwyn M. Barry (editor), GECCO 2002: Proceedings of the Bird of a Feather Workshops, Genetic and Evolutionary Computation Conference, pp. 152--155, AAAI, New York, July 2002.
  353. Dirk Büche, Gianfranco Guidati, Peter Stoll and Petros Koumoutsakos. Self-Organizing Maps for Pareto Optimization of Airfoils, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 122--131, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002.
  354. Dirk Büche, Sibylle Müller and Petro Koumoutsakos. Self-Adaptation for Multi-objective Evolutionary Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 267--281, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  355. Marcos L.P. Bueno and Gina M.B. Oliveira. Multicast flow routing: Evaluation of heuristics and multiobjective evolutionary algorithms, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3403--3410, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  356. Lam T. Bui, Hussein A. Abbass and Daryl Essam. Fitness Inheritance For Noisy Evolutionary Multi-Objective Optimization, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 779--785, Vol. 1, ACM Press, New York, USA, June 2005.
  357. Lam T. Bui, Jürgen Branke and Hussein A. Abbass. Diversity as a Selection Pressure in Dynamic Environments, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1557--1558, Vol. 2, ACM Press, New York, USA, June 2005.
  358. Lam Thu Bui, Juergen Branke and Hussein Abbass. Multiobjective optimization for dynamic environments, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2349--2356, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.
  359. Lam T. Bui, Kalyanmoy Deb, Hussein A. Abbass and Daryl Essam. Dual Guidance in Evolutionary Multi-objective Optimization by Localization, in Tzai-Der Wang, Xiaodong Li, Shu-Heng Chen, Xufa Wang, Hussein A. Abbass, Hitoshi Iba, Guoliang Chen and Xin Yao (Editors), Simulated Evolution and Learning, 6th International Conference, SEAL 2006, Proceedings, pp. 384--391, Springer, Lecture Notes in Computer Science Vol. 4247, Hefei, China, October, 2006.
  360. Lam T. Bui, James M. Whitacre and Hussein A. Abbass. Performance Analysis of Elitism in Multi-Objective Ant Colony Optimization Algorithms, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 1633--1640, IEEE Service Center, Hong Kong, June 2008.
  361. L. T. Bui, S. Wesolkowski, A. Bender, H. A. Abbass and M. Barlow. A Dominance-Based Stability Measure for Multi-Objective Evolutionary Algorithms, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 749--756, IEEE Press, Trondheim, Norway, May 2009.
  362. Lam Thu Bui and Zbignew Michalewicz. An evolutionary multi-objective approach for dynamic mission planning, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 1019--1026, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  363. Larry Bull and Matt Studley. Considerations of Multiple Objectives in Neural Learning Classifier Systems, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 549--557, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002.
  364. Xavier P. Burgos-Artizzu, Angela Ribeiro, Alberto Tellaeche and Gonzalo Pajares. Optimisation of Natural Images Processing Using Different Evolutionary Algorithms, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 1268--1275, IEEE Service Center, Hong Kong, June 2008.
  365. E.K. Burke, P. Cowling, J.D. Landa Silva and S. Petrovic.Combining Hybrid Metaheuristics and Populations for the Multiobjective Optimisation of Space Allocation Problems, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 1252--1259, Morgan Kaufmann Publishers, San Francisco, California, July 2001.
  366. E.K. Burke, P. Cowling, J.D. Landa Silva and S. Petrovic.On the Performance of Population-Based Metaheuristics for the Space Allocation Problem, in Jorge Pinho de Sousa (Editor), Proceedings of the 4th Metaheuristics International Conference (MIC'2001), pp. 579--583, Porto, Portugal, Program Operational Ciencia, Tecnologia, Inovaçao do Quadro Comunitário de Apoio III de Fundaçao para a Ciencia e Tecnologia, July 2001
  367. Edmund K. Burke, Patrick De Causmaecker, Sanja Petrovic and Greet Vanden Berghe. A Multi Criteria Meta-heuristic Approach to Nurse Rostering, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1197--1202, IEEE Service Center, Piscataway, New Jersey, May 2002.
  368. E.K. Burke and J.D. Landa Silva. Improving the Performance of Trajectory-Based Multiobjective Optimisers by Using Relaxed Dominance, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 203--207, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.
  369. E.K. Burke, J.D. Landa Silva and E. Soubeiga. Hyperheuristic Approaches for Multiobjective Optimisation, in Proceedings of the 5th Metaheuristics International Conference (MIC 2003), pp. 11.1--11.6, Kyoto, Japan, August 2003.
  370. Pietro Giuggioli Busacca, Marzio Marseguerra and Enrico Zio. Application of Genetic Algorithms to the Multi-Objective Optimization of the Inspection Times of a Safety System of a Pressurized Water Reactor, in Proceedings of the European Safety & Reliability International Conference (ESREL'2001), Torino, Italy, September 2001.
  371. Álvaro Luis Bustamante, José M. Molina López and Miguel A. Patricio. Video encoder optimization via evolutionary multiobjective optimization algorithms, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1835--1836, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .
  372. Matthew Butler and Ali Daniyal. Multi-objective optimization with an evolutionary artificial neural network for financial forecasting, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1451--1458, ACM Press, Montreal, Canada, July 8--12, 2009. ISBN 978-1-60558-325-9 .
  373. Maxim Buzdalov and Arina Buzdalova. Adaptive Selection of Helper-Objectives for Test Case Generation, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2245--2250, IEEE Press, Cancún, México, 20-23 June, 2013.
  374. Jonathan Byrne, Michael Fenton, Erik Hemberg, James McDermott, Michael O'Neill, Elizabeth Shotton and Ciaran Nally. Combining Structural Analysis and Multi-Objective Criteria for Evolutionary Architectural Design, in Cecilia Di Chio, Anthony Brabazon, Gianni A. Di Caro, Rolf Drechsler, Muddassar Farooq, Jörn Grahl, Gary Greenfield, Christian Prins, Juan Romero, Giovanni Squillero, Ernesto Tarantino, Andrea G.B. Tettamanzi, Neil Urquhart and A. Sima Uyar (editors), Applications of Evolutionary Computation, EvoApplications 2011: EvoCOMNET, EvoFIN, EvoHOT, EvoMUSART, EvoSTIM, and EvoTRANSLOG, pp. 204--213, Springer. Lecture Notes in Computer Science Vol. 6625, Torino, Italy, April 27-29, 2011.
  375. C

  376. Rafael Caballero, Julián Molina, Trinidad Gómez, Mariano Luque and Angel Torrico. A Genetic Algorithm to Solve an Integer Goal Programming Model for the Higher Education, in EU/ME European Chapter On Metaheuristics, Paris, France, November 2002.
  377. José M. Cabello, José M. Cejudo, Mariano Luque, Francisco Ruiz, Kalyanmoy Deb and Rahul Tewari. Optimization of the Sizing of a Solar Thermal Electricity Plant: Mathematical Programming Versus Genetic Algorithms, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1193--1200, IEEE Press, Trondheim, Norway, May, 2009.
  378. Guillermo Cabrera, José Miguel Rubio, Daniela Díaz, Boris Fernández, Claudio Cubillos and Ricardo Soto. A Cultural Algorithm Applied in a Bi-Objective Uncapacitated Facility Location Problem, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 477--491, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  379. J. M. Cadenas and F. Jiménez. A genetic algorithm for the multiobjective solid transportation problem: a fuzzy approach, In International Symposium on Automotive Technology and Automation, Proceedings for the dedicated conferences on Mechatronics and Supercomputing Applications in the Transportation Industries, pages 327-334, Aachen, Germany, 1994.
  380. Zhihua Cai, Wenyin Gong and Yongqin Huang. Novel Differential Evolution Algorithm Based on epsilon-Domination and Orthogonal Design Method for Multiobjective Optimization, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 286--301, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  381. Xinye Cai, Zhenzhou Hu, Sanjoy Das and Stephen M. Welch. A hierarchical Pareto dominance based multi-objective approach for the optimization of gene regulatory network models, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 720--725, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  382. Daniele Calisi, Alessandro Farinelli, Luca Iocchi, Daniele Nardi and Francesca Pucci. Multi-Objective Autonomous Exploration in a Rescue Environment, in Third International Workshop on Synthetic Simulation and Robotics to Mitigate Earthquake Disaster (SRMED 2006), pp. 36--41, Bremen, Germany, June 2006.
  383. F. Campelo, F.G. Guimarães, R.R. Saldanha, H. Igarashi, S. Noguchi, D.A. Lowther and J.A. Ramirez. A novel multiobjective immune algorithm using nondominated sorting, in 11th International IGTE Symposium on Numerical Field Calculation in Electrical Engineering, Seggauberg, Austria, September 2004.
  384. Felipe Campelo, Frederico G. Guimaraes and Hajime Igarashi. Overview of Artificial Immune Systems for Multi-Objective Optimization, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 937--951, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  385. B. Rosario Campomanes-Álvarez, Sergio Damas and Óscar Cordón. Mesh simplification for 3D modeling using evolutionary multi-objective optimization, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 2661--2668, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  386. Eduardo Camponogara and Sarosh N. Talukdar. A Genetic Algorithm for Constrained and Multiobjective Optimization, In Jarmo T. Alander, editor, 3rd Nordic Workshop on Genetic Algorithms and Their Applications (3NWGA), pages 49-62, Vaasa, Finland, August 1997. University of Vaasa.
  387. Arion de Campos Jr., Aurora T. R. Pozo and Elias P. Duarte Jr. Evaluation of Gossip Vs. Broadcast as Communication Strategies for Multiple Swarms Solving MaOPs, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1499--1506, IEEE Press, Cancún, México, 20-23 June, 2013.
  388. Waldo Cancino and Alexandre C.B. Delbem. A Multi-objective Evolutionary Approach for Phylogenetic Inference, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 428--442, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  389. Waldo Cancino and A.C.B. Delbem. Multi-Criterion Phylogenetic Inference using Evolutionary Algorithms, in Symposium on Computational Intelligence and Bioinformatics and Computational Biology, CIBCB '07, pp. 351--358, IEEE Press, Honolulu, Hawaii, USA, April 1-5, 2007, ISBN 1-4244-0710-9.
  390. A. Canova, F. Freschi, M. Repetto and V. Vusini. Eddy Current Coupler Optimization, in Second International Conference on Power Electronics, Machines and Drives (PEMD 2004), Vol. 1, pp. 436--441, IEEE Press, Edinburgh, Scotland, 31 March--2 April, 2004.
  391. Jesus Conesa-Muñoz, Angela Ribeiro, Dionisio Andujar, Cesar Fernandez-Quintanilla and Jose Dorado. Multi-path planning based on a NSGA-II for a fleet of robots to work on agricultural tasks, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 2236--2243, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  392. Fabio Caraffini, Ferrante Neri, Jixiang Cheng, Gexiang Zhang, Lorenzo Picinali, Giovanni Iacca and Ernesto Mininno. Super-fit Multicriteria Adaptive Differential Evolution, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1678--1685, IEEE Press, Cancún, México, 20-23 June, 2013.
  393. Jessica Andrea Carballido, Ignacio Ponzoni and Nélida Beatriz Brignole. A Novel Application of Evolutionary Computing in Process Systems Engineering, in Günther R. Raidl and Jens Gottlieb (editors), Evolutionary Computation in Combinatorial Optimization. 5th European Conference, EvoCOP 2005, pp. 12--22,Springer, Lecture Notes in Computer Science Vol. 3448, Lausanne, Switzerland, March/April 2005.
  394. Alain Cardon, Theirry Galinho and Jean-Philippe Vacher. A Multi-Objective Genetic Algorithm in Job Shop Scheduling Problem to Refine an Agents' Architecture, In Kaisa Miettinen, Marko M. Mäkelä, Pekka Neittaanmäki and Jacques Periaux, editors, Proceedings of EUROGEN'99, Jyväskylä, Finland, May 1999. University of Jyváskylä.
  395. Alain Cardon, Thierry Galinho and Jean-Philippe Vacher. Using Genetic Algorithm in Job-Shop Scheduling Problem to Constraints Negociators' Agents. In Proceedings of Evolutionary Algorithms in Engineering and Computer Science, EUROGEN'99, pages 20-27, Jyväskylä, Finland, May 1999.
  396. Alain Cardon, Theirry Galinho and Jean-Philippe Vacher. An Agent Based Architecture for Job-Shop Scheduling Problem Using the Spirit of Genetic Algorithm. In Proceedings of Evolutionary Algorithms in Engineering and Computer Science, EUROGEN'99, pages 12-19, Jyväskylä, Finland, May 1999.
  397. P. Cardoso, M. Jesus and A. Márquez. MONACO -Multi-Objective Network Optimisation based on ACO, in X Encuentros de Geometría Computacional, Seville, Spain, June 2003.
  398. P. Cardoso, M. Jesus and A. Márquez. Multiple Objective TSP based on ACO, in III Encuentro Andaluz de Matemáticas Discretas, Almeria, Spain, 2003.
  399. Pedro Cardoso, Mário Jesus and Álberto Márquez. Multiple Criteria Minimum Spanning Trees, in XI Encuentros de Geometría Computacional, Santander, Spain, 2005.
  400. Grégoire Carpentier, Damien Tardieu, Gérard Assayag, Xavier Rodet and Emmanuel Saint-James. An Evolutionary Approach to Computer-Aided Orchestration, in Mario Giacobini et al. (Editors), Applications of Evolutionary Computing. EvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG, pp. 488--497, Springer. Lecture Notes in Computer Science Vol. 4448, Valencia, Spain, April 2007.
  401. G. Carpinelli, C. Noce, A. Russo and P. Varilone. Trade-off methods for capacitor placement in unbalanced distribution systems, in International Conference on Future Power Systems, 2005, pp. 1--6, IEEE Computer Society Press, Amsterdam, November 18, 2005.
  402. Gaétan Marceau Caron, Pierre Savéant and Marc Schoenauer. Multiobjective Tactical Planning under Uncertainty for Air Traffic Flow and Capacity Management, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1548--1555, IEEE Press, Cancún, México, 20-23 June, 2013.
  403. Eduardo G. Carrano, Ricardo H.C. Takahashi, Carlos M. Fonseca and Oriane M. Neto. Bi-objective Combined Facility Location and Network Design, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 486--500, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  404. Eduardo G. Carrano, Ricardo H. C. Takahashi, Walmir M. Caminhas and Oriane M. Neto. A Genetic Algorithm for Multiobjective Training of ANFIS Fuzzy Networks, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3258--3264, IEEE Service Center, Hong Kong, June 2008.
  405. Eduardo G. Carrano and Lívia A. Moreira and Ricardo H.C. Takahashi. A New Memory Based Variable-Length Encoding Genetic Algorithm for Multiobjective Optimization, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 328--342, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  406. Mark T. B. Carroll, John R. Josephson and James L. Russell. Tradeoffs on the Efficient Frontier of Network Disruption Attacks, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 160--165, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  407. Andre Britto de Carvalho and Aurora Pozo. Analyzing the Control of Dominance Area of Solutions in Particle Swarm Optimization for Many-Objective, in 2010 10th International Conference on Hybrid Intelligent Systems (HIS'2010), pp. 103--108, IEEE Press, Atlanta, Georgia, USA, 23-25 August 2010.
  408. Andre B. de Carvalho and Aurora Pozo. The Control of Dominance Area in Particle Swarm Optimization Algorithms for Many-Objective Problems, in 2010 Eleventh Brazilian Symposium on Neural Networks (SBRN 2010), pp. 140--145, IEEE Computer Society Press, Sao Paulo, Brazil, 23-28 October 2010.
  409. Mauro Castelli, Luca Manzoni, Sara Silva and Leonardo Vanneschi. A Comparison of the Generalization Ability of Different Genetic Programming Frameworks, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 94--101, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  410. Mauro Castelli, Luca Manzoni and Leonardo Vanneschi. Multi Objective Genetic Programming for Feature Construction in Classification Problems, in Carlos A. Coello Coello (editor), Learning and Intelligent Optimization, 5th International Conference, LION 5, pp. 503--506, Springer. Lecture Notes in Computer Science Vol. 6683, Rome, Italy, January 17-21, 2011.
  411. Flor Castillo, Arthur Kordon, Guido Smits, Ben Christenson and Dee Dickerson. Pareto Front Genetic Programming Parameter Selection Based on Design of Experiments and Industrial Data, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1613--1620, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  412. Ma. Guadalupe Castillo Tapia and Carlos A. Coello Coello. Applications of Multi-Objective Evolutionary Algorithms in Economics and Finance: A Survey, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 532--539, IEEE Press, Singapore, September 2007.
  413. Olacir Rodrigues Castro Junior, Andre Britto and Aurora Pozo. A comparison of methods for leader selection in many-objective problems, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 589--596, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  414. David J. Caswell and Gary B. Lamont. Wire-Antenna Geometry Design with Multiobjective Genetic Algorithms, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 103--108, IEEE Service Center, Piscataway, New Jersey, May 2002.
  415. David J. Caswell and Gary B. Lamont. Multiobjective Meta Level Optimization of a Load Balancing Evolutionary Algorithm, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 177--191, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  416. David J. Caswell and Gary B. Lamont. Distributed Processor Allocation for Discrete Event Simulation and Digital Signal Processing Using a Multiobjective Evolutionary Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1803--1810, IEEE Press, Canberra, Australia, December 2003.
  417. Renato Reder Cazangi and Fernando J. Von Zuben. Immune Learning Classifier Networks: Evolving Nodes and Connections, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 7994--8001, IEEE, Vancouver, BC, Canada, July 2006.
  418. Walter Cedeno and V. Rao Vemuri. On the Use of Niching for Dynamic Landscapes. In William Porto, editor, Proceedings of the 1997 IEEE International Conference on Evolutionary Computation, pages 361-366, Piscataway, New Jersey, April 1997. IEEE Press.
  419. Matteo Ceriotti and Massimiliano Vasile. An Ant System algorithm for automated trajectory planning, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 897--904, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  420. Marco Ceriani, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto and Antonino Tumeo. Multiprocessor Systems-On-Chip Synthesis Using Multi-Objective Evolutionary Computation, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 1267--1274, ACM Press, Portland, Oregon, USA, July 7--11, 2010. ISBN 978-1-4503-0072-8. .
  421. N. Cesario, M. Farina, E. Kovalev and M. Markin. Multiobjective Optimization for Automotive Application, in G. Bugeda, J.A. Desideri, J. Periaux, M. Schoenauer and G. Winter (Editors), Proceedings of the International Congress on Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems, EUROGEN 2003, pp. 214--222, Barcelona, Spain, September 2003.
  422. Onur L. Cetin and Kazuhiro Saitou. Decomposition-Based Assembly Synthesis of Multiple Structures for Minimum Production Cost, in Proceedings of IMECE'03 (ASME'2003 International Mechanical Engineering Congress and RD&D Expo, Washington, DC, USA, ASME Press, November 2003.
  423. Deepti Chafekar, Jiang Xuan and Khaleed Rasheed. Constrained Multi-objective Optimization Using Steady State Genetic Algorithms, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 813--824, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003.
  424. S. K. Chaharsooghi and Amir H. Meimand Kermani. An Intelligent Multi-Colony Multi-Objective Ant Colony Optimization (ACO) for the 0-1 Knapsack Problem, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 1195--1202, IEEE Service Center, Hong Kong, June 2008.
  425. Nachol Chaiyaratana and Ali M.S. Zalzala. Hybridisation of Neural Networks and Genetic Algorithms for Time-Optimal Control, In 1999 Congress on Evolutionary Computation, pages 389--396, Vol. 1, Washington, D.C., July 1999. IEEE Service Center.
  426. Nirupam Chakraborti. How Genetic algorithms Handle Pareto-Optimality in Design and Manufacturing, in Jean-Philippe Rennard (editor), Handbook of Research on Nature Inspired Computing for Economy and Management, pp. 465--481, Vol. II, Idea Group Reference, Hershey, UK, 2006, ISBN 1-59140-984-5.
  427. Jayasree Chakraborty, Amit Konar, Atulya Nagar and Swagatam Das. Rotation and Translation Selective Pareto Optimal Solution to the Box-Pushing Problem by Mobile Robots Using NSGA-II, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2120--2126, IEEE Press, Trondheim, Norway, May, 2009.
  428. Prithwish Chakraborty, Swagatam Das, Ajith Abraham, Václav Snasel and Gourab Ghosh Roy. On convergence of multi-objective Particle Swarm Optimizers, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3507--3514, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  429. Somayyeh Chamaani, Seyed Abdullah Mirtaheri, Mohammad Teshnehlab and Mahdi Aliyari Shooredeli. Modified Multi-objective particle swarm optimization for electromagnetic absorber design, in Asia-Pacific Conference on Applied Electromagnetics (APACE 2007), IEEE Press, Melaka, Malaysia, 4-6 December, 2007.
  430. T.M. Chan, K.F. Man, K.S. Tan and S. Kwong. Optimization of wireless local area network in IC factory using a jumping-gene paradigm, in 2005 3rd IEEE International Conference on Industrial Informatics (INDIN), pp. 773--778, IEEE Press, Perth, Australia, August 10-12, 2005, ISBN 0-7803-9094-6.
  431. Yung-Hsiang Chan, Tsung-Che Chiang and Li-Chen Fu. A Two-phase Evolutionary Algorithm for Multiobjective Mining of Classification Rules, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 727--733, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  432. Arjun Chandra, Richard Allmendinger, Peter R. Lewis, Xin Yao and Jim Torresen. Exposing Market Mechanism Design Trade-offs via Multi-objective Evolutionary Search, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1515--1522, IEEE Press, Cancún, México, 20-23 June, 2013.
  433. B. Chandrasekaran and Mark Goldman. Exploring Robustness of Plants for Simulation-Based Course of Action Planning: A Framework and an Example, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 185--192, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  434. S. Chandrasekaran, S. G. Ponnambalam, R. K. Suresh and N. Vijayakumar. Multi-Objective Particle Swarm Optimization Algorithm for Scheduling in Flowshops to Minimize Makespan and Total Flowtime and Completion Time Variance, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 4012-4018, IEEE Press, Singapore, September 2007.
  435. C. S. Chang, W. Wang, A. C. Liew, F. S. Wen and D. Srinivasan. Genetic Algorithm Based Bicriterion Optimization for Traction Sustations in DC Railway System, In Proceedings of the Second IEEE International Conference on Evolutionary Computation, pages 11-16, Piscataway, New Jersey, 1995. IEEE Press.
  436. Ni-Bin Chang and H. W. Chen. The Use of Fuzzy Interval Genetic Algorithm for Solving Multiobjective Nonlinear Mixed Integer Programming Model. In Proceedings of the First International Conference on Operations and Quantitative Management, pages 76-82, 1997.
  437. Wei-Chun Chang, Alistair Sutcliffe and Richard Neville. A Distance Function-Based Multi-Objective Evolutionary Algorithm, in James Foster (editors), 2003 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 47--53, AAAI, Chicago, Illinois, USA, July 2003.
  438. C.S. Chang and C.M. Kwan. Evaluation of evolutionary algorithms for multi-objective train schedule optimization, AI 2004: Advances in Artificial Intelligence, Springer-Verlag, Lecture Notes in Artificial Intelligence, Vol. 3339, pp. 803--815, 2004.
  439. Pei-Chann Chang, Shih-Hsin Chen and Jih-Chang Hsieh. A global archive sub-population genetic algorithm with adaptive strategy in multi-objective parallel-machine scheduling problem, Advances in Natural Computation, Part 1, Springer, Lecture Notes in Computer Science Vol. 4221, pp. 730--739, 2006.
  440. Pei Chann Chang, Shih Hsin Chen, Qingfu Zhang and Jun Lin Lin. MOEA/D for Flowshop Scheduling Problems, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 1433--1438, IEEE Service Center, Hong Kong, June 2008.
  441. Dongxia Chang, Yao Zhao and Yanhui Xiao. A Robust Dynamic Niching Genetic Clustering Approach for Image Segmentation, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 1077--1083, ACM Press, Dublin, Ireland, July 12-16, 2011.
  442. C. Chatelain, S. Adam, Y. Lecourtier, L. Heutte and T. Paquet. Multi-Objective Optimization for SVM Model Selection, in Ninth International Conference on Document Analysis and Recognition (ICDAR 2007), pp. 427--431, IEEE Computer Society, Curitiba, Paraná, Brazil, 23-26 September, 2007.
  443. Daniel A. R. Chaves, Carmelo J. A. Bastos-Filho and Joaquim F. Martins-Filho. Up-grading the Physical Topology of Transparent Optical Networks Using a Multiobjective Evolutionary Algorithm Considering Quality of Service and Capital Cost, in 2009 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC), pp. 51--56, IEEE Press, Belem, November 3-6, 2009.
  444. Daniel A. Chaves, Carmelo J. Bastos-Filho and Joaquim F. Martins-Filho. Multiobjective Physical Topology Design of All-Optical Networks Considering QoS and Capex, in National Fiber Optic Engineers Conference (NFOEC), pp. 1--3, Optical Society of America, San Diego, California, USA, March 21-25, 2010.
  445. Jayrani Cheeneebash, Jose Antonio Lozano and Harry Coomar Shumsher Rughooputh. A Multi-Objective Approach to the Channel Assignment Problem, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3914-3917, IEEE Service Center, Hong Kong, June 2008.
  446. Kay Chen Tan and Yun Li. Multi-Objective Genetic Algorithm Based Time and Frequency Domain Design Unification of Linear Control Systems. In Proceedings of the IFAC/IEEE International Symposium on Artificial Intelligence in Real-Time Control, pages 61-66, Kuala Lumpur, Malaysia, September 1997.
  447. Jian-Hung Chen and Shinn-Ying Ho. Multi-Objective Optimization of Flexible Manufacturing Systems, in Lee Spector, Erik D. Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max. H. Garzon and Edmund Burke (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2001), p. 1260--1267, Morgan Kaufmann Publishers, San Francisco, California, July 2001.
  448. Jian-Hung Chen, David E. Goldberg, Shinn-Ying Ho and Kumara Sastry. Fitness Inheritance in Multi-Objective Optimization, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 319--326, Morgan Kaufmann Publishers, San Francisco, California, July 2002.
  449. Anthony Chen, Piya Chootinan and Surachet Pravinvongvuth. An Evolutionary Approach for Finding Optimal Automatic Vehicle Identification Reader Locations in Transportation Networks, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 181--187, Portland, Oregon, USA, June 2004.
  450. Jian-Hung Chen, Hung-Ming Chen and Shinn-Ying Ho. Design of Nearest Neighbor Classifiers Using an Intelligent Multi-objective Evolutionary Algorithm, in Chengqi Zhang, Hans W. Guesgen and Wai K. Yeap (editors), PRICAI 2004: Trends in Artificial Intelligence. 8th Pacific Rim International Conference on Artificial Intelligence, pp. 262--271, Springer-Verlag. Lecture Notes in Artificial Intelligence Vol. 3157, Auckland, New Zealand, August, 2004.
  451. Jian-Hung Chen, Shinn-Ying Ho and David E. Goldberg. Quality-Time Analysis of Multi-Objective Evolutionary Algorithms, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1455--1462, Vol. 2, ACM Press, New York, USA, June 2005.
  452. Enhong Chen and Feng Wang. Dynamic Clustering Using Multi-objective Evolutionary Algorithm, in Yue Hao et al. (editors), Computational Intelligence and Security. International Conference, CIS 2005, pp. 73--80, Springer, Lecture Notes in Artificial Intelligence Vol. 3801, Xi'an, China, December 2005.
  453. Jun Chen and Mahdi Mahfouf. A population adaptive based immune algorithm for solving multi-objective optimization problems, in Hughes Bersini and Jorge Carneiro (editors), Artificial Immune Systems, 5th International Conference, ICARIS 2006, Proceedings, pp. 280--293, Springer-Verlag, Lecture Notes in Computer Science Vol. 4163, Oeiras, Portugal, September 2006.
  454. Huanhuan Chen and Xin Yao. Evolutionary Multiobjective Ensemble Learning Based on Bayesian Feature Selection, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 971--978, IEEE, Vancouver, BC, Canada, July 2006.
  455. Jian-Hung Chen. Simultaneous Optimization of Production Planning and Inspection Planning for Flexible Manufacturing Systems, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 1928--1935, Vol. 2, ACM Press, London, UK, July 2007.
  456. Yi Chen and Matthew P. Cartmell. Multi-Objective Optimisation on Motorised Momentum Exchange Tether for Playload Orbital Transfer, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 987--993, IEEE Press, Singapore, September 2007.
  457. Juan Chen, Lihong Xu and Changliang Yuan. IPGA Based Multi-Objective Compatible Control Algorithm and its Application in Oversaturated Adjacent Intersection Control, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3187--3194, IEEE Press, Singapore, September 2007.
  458. Jianyong Chen, Qiuzhen Lin and Qingbin Hu. A Novel Clonal Algorithm for Multiobjective Optimization, in 2008 International Workshop on Education Technology and Training & 2008 International Workshop on Geoscience and Remote Sensing, pp. 613--616, IEEE Computer Society, Shanghai, China, December 21-22, 2008.
  459. Chun-Hao Chen, Tzung-Pei Hong, V.S. Tseng and Lien-Chin Chen. A multi-objective genetic-fuzzy mining algorithm, in 2008 IEEE International Conference on Granular Computing, pp. 115--120, IEEE Press, Hangzhou, China, August 2008.
  460. Chih-Ming Chen, Ying-ping Chen and Qingfu Zhang. Enhancing MOEA/D with Guided Mutation and Priority Update for Multi-Objective Optimization, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 209--216, IEEE Press, Trondheim, Norway, May 2009.
  461. Jian Chen, Jie Jia, Yingyou Wen, Dazhe zhao and Jiren Liu. A Genetic Approach to Channel Assignment for Multi-radio Multi-channel Wireless Mesh Networks, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 39-46, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6.
  462. Jian Chen, Jie Jia, Yingyou Wen, Dazhe zhao and Jiren Liu. Modeling and Extending Lifetime of Wireless Sensor Networks Using Genetic Algorithm, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 47-54, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6.
  463. Qiong Chen, Shengwu Xiong and Hongbing Liu. Evolutionary Multi-objective Optimization Algorithm Based on Global Crowding Diversity Maintenance Strategy, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 803-806, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6.
  464. Stephen Chen. Locust Swarms — A New Multi-Optima Search Technique, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1745--1752, IEEE Press, Trondheim, Norway, May, 2009.
  465. Chun-Hao Chen and Tzung-Pei Hong and V.S. Tseng. A SPEA2-based genetic-fuzzy mining algorithm, in 2010 IEEE International Conference on Fuzzy Systems, pp. 1--5, IEEE Press, Barcelona, Spain, July, 2010.
  466. Chih-Ming Chen, Ying-ping Chen, Tzu-Ching Shen and John K. Zao. Optimizing degree distributions in LT codes by using the multiobjective evolutionary algorithm based on decomposition, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3635--3642, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  467. Hao Chen, John A. Clark, Siraj A. Shaikh, Howard Chivers and Philip Nobles. Optimising IDS Sensor Placement, in Fifth International Conference on Availability, Reliability and Security (ARES'2010), pp. 315--320, IEEE Computer Society Press, Krakow, Poland, 15-18 February 2010.
  468. Stephen Chen and James Montgomery. Selection Strategies for Initial Positions and Initial Velocities in Multi-Optima Particle Swarms, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 53--60, ACM Press, Dublin, Ireland, July 12-16, 2011.
  469. Stephen Chen and James Montgomery. A Simple Strategy to Maintain Diversity and Reduce Crowding in Particle Swarm Optimization, in Dianhui Wang and Mark Reynolds (editors), AI 2011: Advances in Artificial Intelligence, 24th Australasian Joint Conference, pp. 281--290, Springer. Lecture Notes in Artificial Intelligence Vol. 7106, Perth, Australia, December 5-8, 2011.
  470. Wei-Neng Chen and Jun Zhang. A Preference-Based Bi-Objective Approach to the Payment Scheduling Negotiation Problem with the Extended r-Dominance and NSGA-II, in 2012 Genetic and Evolutionary Computation Conference (GECCO'2012), pp. 1063--1070, ACM Press, Philadelphia, USA, July 2012, ISBN: 978-1-4503-1177-9.
  471. Angela H. L. Chen, Yun-Chia Liang and Chia-Chien Liu. An artificial bee colony algorithm for the cardinality-constrained portfolio optimization problems, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 2902--2909, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  472. Runwei Cheng, Mitsuo Gen and Shmuel S. Oren. An Adaptive Hyperplane Approach for Multiple Objective Optimization Problems with Complex Constraints. In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 299-306, San Francisco, California, 2000. Morgan Kaufmann.
  473. Hsueh-Chien Cheng, Tsung-Che Chiang and Li-Chen Fu. Multiobjective Permutation Flowshop Scheduling by an Adaptive Genetic Local Search Algorithm, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 1596--1602, IEEE Service Center, Hong Kong, June 2008.
  474. Peng Cheng. A Tunable Constrained Test Problems Generator for Multi-objective Optimization, in Proceedings of the 2008 Second International Conference on Genetic and Evolutionary Computing (WGEC'2008), pp. 96--100, IEEE Computer Society, Washington, DC, USA, September 2008, ISBN 978-0-7695-3334-6.
  475. Hsueh-Chien Cheng, Tsung-Che Chiang and Li-Chen Fu. Multiobjective Job Shop Scheduling using Memetic Algorithm and Shifting Bottleneck Procedure, in IEEE Symposium on Computational Intelligence in Scheduling, 2009 (CI-Sched '09), pp. 15-21, IEEE Computer Society, Nashville, TN, USA, March-April, 2009.
  476. Shi Cheng, Yuhui Shi and Quande Qin. On the Performance Metrics of Multiobjective Optimization, in Ying Tan, Yuhui Shi and Zhen Ji (editors), Advances in Swarm Intelligence, Third International Conference, ICSI 2012, pp. 504--512, Springer. Lecture Notes in Computer Science Vol. 7331, Shenzhen, China, June 17-20, 2012.
  477. C. Y. Cheong, K. C. Tan, D. K. Liu and J. X. Xu. A Multiobjective Evolutionary Algorithm for Solving Vehicle Routing Problem with Stochastic Demand, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 5519--5526, IEEE, Vancouver, BC, Canada, July 2006.
  478. C. Y. Cheong, C. J. Lin, K. C. Tan and D. K. Liu. A Multi-Objective Evolutionary Algorithm for Berth Allocation in a Container Port, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 927--934, IEEE Press, Singapore, September 2007.
  479. Peter B. Cheung, Luisa F.R. Reis, Klebber T.M. Formiga, Fazal H. Chaudhry and Waldo G.C. Ticona. Multiobjective Evolutionary Algorithms Applied to the Rehabilitation of a Water Distribution System: A Comparative Study, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 662--676, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  480. Catherine Cheung, Julio J. Valdes and Matthew Li. Use of evolutionary computation techniques for exploration and prediction of helicopter loads, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 2798--2805, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  481. Swee Chiang Chiam, Chi Keong Goh and Kay Chen Tan. Adequacy of Empirical Performance Assessment for Multiobjective Evolutionary Optimizer, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 893--907, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  482. Swee Chiang Chiam, Kay Chen Tan and Abdullah Al Mamun. Molecular Dynamics Optimizer, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 302--316, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  483. Swee Chiang Chiam, Kay Chen Tan and Abdullah Al Mamun. Multiobjective Evolutionary Neural Networks for Time Series Forecasting, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 346--360, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  484. S.C. Chiam, A. Al Mamun and Y. L. Low. A Realistic Approach to Evolutionary Multiobjective Portfolio Optimization, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 204--211, IEEE Press, Singapore, September 2007.
  485. Tsung-Che Chiang and Li-Chen Fu. Multiobjective Job Shop Scheduling using Genetic Algorithm with Cyclic Fitness Assignment, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 11035--11042, IEEE, Vancouver, BC, Canada, July 2006.
  486. Chao-Lung Chiang. Efficient Trade-Off Algorithm for Hydrothermal Power Systems, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 2325--2330, IEEE Press, Singapore, September 2007.
  487. Tsung-Che Chiang, Hsueh-Chien Cheng and Li-Chen Fu. Multiobjective Permutation Flow Shop Scheduling Using a Memetic Algorithm with an NEH-Based Local Search, in De-Shuang Huang, Kang-Hyun Jo, Hong-Hee Lee, Hee-Jun Kang and Vitoantonio Bevilacqua (editors), Emerging Intelligent Computing Technology and Applications, 5th International Conference on Intelligent Computing, ICIC 2009, pp. 813--825, Springer. Lecture Notes in Computer Science Vol. 5754, Ulsan, South Korea, September 16-19, 2009.
  488. Tsung-Che Chiang and Li-Chen Fu. An improved multiobjective memetic algorithm for permutation flow shop scheduling, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 1057--1064, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  489. Tsung-Che Chiang and Yung-Pin Lai. MOEA/D-AMS: Improving MOEA/D by an Adaptive Mating Selection Mechanism, in 2011 IEEE Congress on Evolutionary Computation(CEC'2011), pp. 1473--1480, IEEE Service Center, New Orleans, Lousiana, USA, 5-8 June, 2011.
  490. Kazuhisa Chiba, Shigeru Obayashi, Kazuhiro Nakahashi and Hiroyuki Morino. High-Fidelity Multidisciplinary Design Optimization of Wing Shape for Regional Jet Aircraft, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 621--635, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  491. Kazuhisa Chiba, Shinkyu Jeong, Shigeru Obayashi and Hiroyuki Morino. Data Mining for Multidisciplinary Design Space of Regional-Jet Wing, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2333--2340, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.
  492. Kazuhisa Chiba, Yoshikazu Makino and Takeshi Takatoya. Design-Informatics Approach Applicable to Real-World Problem, in 2011 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2011), pp. 167--174, IEEE Press, Paris, France, April 11-15, 2011, ISBN 978-1-61284-067-3.
  493. Kazuhisa Chiba, Masahiro Kanazaki, Masaki Nakamiya, Koki Kitagawa and Toru Shimada. Conceptual Design of Single-Stage Launch Vehicle with Hybrid Rocket Engine for Scientific Observation Using Design Informatics, in David Greiner, Blas Galván, Jacques Périaux, Nicolas Gauger, Kyriakos Giannakoglou and Gabriel Winter (Editors), Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2013), pp. 49--52, Universidad de las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain, October 7-9, 2013, ISBN 978-84-616-6249-4.
  494. Manuel Chica, Óscar Cordón, Sergio Damas and Joaquín Bautista. Integration of an EMO-based Preference Elicitation Scheme into a Multi-objective ACO Algorithm for Time and Space Assembly Line Balancing, in 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2009), pp. 157--162, IEEE Press, Nashville, TN, USA, March 30 - April 2 2009. ISBN 978-1-4244-2764-2 .
  495. Manuel Chica, Óscar Cordón and Sergio Damas. Tackling the 1/3 Variant of the Time and Space Assembly Line Balancing Problem by Means of a Multiobjective Genetic Algorithm, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1367--1374, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  496. Francisco Chicano, Francisco Luna, Antonio J. Nebro and Enrique Alba. Using Multi-Objective Metaheuristics to Solve the Software Project Scheduling Problem, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 1915--1922, ACM Press, Dublin, Ireland, July 12-16, 2011.
  497. Oliver Chikumbo, Erick Goodman and Kalyanmoy Deb. Approximating a multi-dimensional Pareto front for a land use management problem: a modified MOEA with an epigenetic silencing metaphor, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 480--488, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  498. A. J. Chipperfield and C. M. Fonseca P. J. Fleming. Development of Genetic Optimization Tools for Multi-Objective Optimization Problems in CACSD. In IEE Colloquium, Genetic Algorithms for Control and Systems Engineering, Halifax Hall, University of Sheffield, UK, May 1995. Digest No. 1992/106.
  499. A. J. Chipperfield and P. J. Fleming. Gas Turbine Engine Controller Design using Multiobjective Genetic Algorithms, In A. M. S. Zalzala, editor, Proceedings of the First IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems : Innovations and Applications, GALESIA'95, pages 214-219, Halifax Hall, University of Sheffield, UK, September 1995. IEEE.
  500. A. J. Chipperfield, N. V. Dakev, P. J. Fleming and J. F. Whidborne. Multiobjective robust control using evolutionary algorithms. In IEEE International Conference on Industrial Technology, Shanghai, China, December 1996.
  501. A. J. Chipperfield and P. J. Fleming. Evolutionary Design of Gas Turbine Aero-Engine Controllers. In Frank DiCesare and Mohsen Jafari, editors, Proceedings of the 1998 IEEE International Conference on Systems, Man and Cybernetics, pages 2401--2406, Vol. 3, IEEE, 1998.
  502. Darren M. Chitty and Marcel L. Hernandez. A Hybrid Ant Colony Optimisation Technique for Dynamic Vehicle Routing, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 48--59, Seattle, Washington, USA, June 2004.
  503. Shih-Yuan Chiu, Tsung-Ying Sun, Sheng-Ta Hsieh and Cheng-Wei Lin. Cross-Serching Strategy for Multi-Objective Particle Swarm Optimization, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3135--3141, IEEE Press, Singapore, September 2007.
  504. Seunghoon Choi and Chisu Wu. Partitioning and Allocation of Objects in Heterogeneous Distributed Environments Using the Niched Pareto Genetic-Algorithm, In Proceedings of 1998 Asia Pacific Software Engineering Conference (APSEC 98), pp. 322--329, Taipei, Taiwan, December 1998.
  505. Sunny Choi and Blayne E. Mayfield. Particle swarm optimization in the presence of multiple global optima, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1743--1744, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .
  506. Jeoung-Nae Choi, Sung-Kwun Oh and Hyun-Ki Kim. Design of Information Granulation-Based Fuzzy Radial Basis Function Neural Networks Using NSGA-II, in Liqing Zhang, Bao-Liang Lu and James Kwok (editors), Advances in Neural Networks - ISNN 2010, 7th International Symposium on Neural Networks, ISNN 2010, pp. 215--222, Springer. Lecture Notes in Computer Science Vol. 6063, Shanghai, China, June 6-9, 2010.
  507. Wang Chong and Jing Ning and Li Jun and Wang Jun and Chen Hao. Cooperative co-evolutionary algorithm in satellite imaging scheduling of cooperative multiple centers, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 1770--1777, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  508. Chwee Seng Choo, Ching Lian Chua and Su-Han Victor Tay. Automated Red Teaming: A Proposed Framework for Military Application, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 1936--1942, Vol. 2, ACM Press, London, UK, July 2007.
  509. Chwee Seng Choo, Ching Lian Chua, Kin Ming Spencer Low and Wee Sze Darren Ong. A Co-Evolutionary Approach for Military Operational Analysis, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 67-74, ACM Press, Shanghai, China, June 12-14, 2009. ISBN 978-1-60558-326-6.
  510. C. Rick Chow. An Evolutionary Approach to Search for NCR-Boards. In David B. Fogel, editor, Proceedings of the 1998 International Conference on Evolutionary Computation, pages 295-300, Piscataway, New Jersey, 1998. IEEE.
  511. Chi-kin Chow and Hung-tat Tsui. Autonomous Agent Response Learning by a Multi-Species Particle Swarm Optimization, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 778--785, Portland, Oregon, USA, June 2004.
  512. S. Chowdhury, R.J. Moral and G.S. Dulikravich. Predator-prey evolutionary multi-objective optimization algorithm: performance and improvements, in V. Toropov, (editor), Proceedings of 7th ASMO-UK/ISSMO International Conference on Engineering Design Optimization, pp. 1-10, Bath, UK, July 7-8, 2008.
  513. Hyoung-Seog Chung, Seongim Choi and Juan J. Alonso, Supersonic Business Jet Design Using Knowledge-Based Genetic Algorithm with Adaptive, Unstructured Grid Methodology, in 21st AIAA Applied Aerodynamics Conference, AIAA Paper AIAA-2003-3791, Orlando, FL, June 23-26, 2003.
  514. Hyoung-Seog Chung and Juan J. Alonso. Multiobjective Optimization Using Approximation Model-Based Genetic Algorithms, in Proceedings of the 10th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, paper AIAA 2004-4325, Albany, New York, USA, August 30 to September 1, 2004.
  515. Alexander W. Churchill, Phil Husbands and Andrew Philippides. Multi-Objective Tool Sequence and Parameter Optimization for Rough Milling Applications, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1475--1482, IEEE Press, Cancún, México, 20-23 June, 2013.
  516. Alexander W. Churchill, Phil Husbands and Andrew Philippides. Tool Sequence Optimization using Synchronous and Asynchronous Parallel Multi-Objective Evolutionary Algorithms with Heterogeneous Evaluations, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2924--2931, IEEE Press, Cancún, México, 20-23 June, 2013.
  517. Eryk Ciepiela, Joanna Kocot, Leszek Siwik and Rafal Drezewski. Hierarchical Approach to Evolutionary Multi-Objective Optimization, in Marian Bubak, Geert Dick van Albada, Jack Dongarra and Peter M.A. Sloot (editors), Computational Science --- ICCS 2008, 8th International Conference, pp. 740--749, Springer-Verlag. Lecture Notes in Computer Science Vol. 5103, Kraków, Poland, June 2008.
  518. Özer Ciftcioglu and Michael S. Bittermann. Solution Diversity in Multi-Objective Optimization: A Study in Virtual Reality, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 1019--1026, IEEE Service Center, Hong Kong, June 2008.
  519. Marta Cimitile, Matteo Gaeta and Vicenzo Loia. An Ontological Multi-Criteria Optimization System for Workforce Management, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 2771--2777, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  520. Antonio Della Cioppa, Angelo Marcelli and Prisco Napoli. Speciation in Evolutionary Algorithms: Adaptive Species Discovery, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 1053--1060, ACM Press, Dublin, Ireland, July 12-16, 2011.
  521. Michael P. Cipold, Pradyumn Kumar Shukla, Claus C. Bachmann, Kaibin Bao and Hartmut Schmeck. An Evolutionary Optimization Approach for Bulk Material Blending Systems, in Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia and Mario Pavone (editors), Parallel Problem Solving from Nature - PPSN XII, 12th International Conference, pp. 478--488, Springer. Lecture Notes in Computer Science Vol. 7491, Taormina, Italy, September 1-5, 2012.
  522. Mattian Ciprian, Massimiliano Kaucic, Guilia Nogherotto, Valentino Pediroda and Danilo DiStefano. Multiattribute Methodologies in Financial Decision Aid, in Jean-Philippe Rennard (editor), Handbook of Research on Nature Inspired Computing for Economy and Management, pp. 869--884, Vol. II, Idea Group Reference, Hershey, UK, 2006, ISBN 1-59140-984-5.
  523. Mattia Ciprian, Valentino Pediroda and Carlo Poloni. Multi Criteria Decision Aiding Techniques to Select Designs After Robust Design Optimization, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 619--632, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  524. M. Clergue and P. Collard. Dual Genetic Algorithms and Pareto Optimization. In George D. Smith, Nigel C. Steele and Rudolf F. Albrecht, editors, Artificial Neural Nets and Genetic Algorithms, pages 188-197, Norwich, UK, April 1997. Springer-Verlag.
  525. M. Clergue, P. Collard and A. Gaspar. DGA and Pareto Elitism : Improving Pareto Optimization. In Second International ICSC Symposium on Soft Computing (SOCO'97) at the Ecole pour les Etudes et la Recherche en Informatique et Electronique (EERIE), Nımes, France, September 1997.
  526. Lauren M. Clevenger and William E. Hart. Convergence Examples of a Filter-Based Evolutionary Algorithm, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 666--677, Seattle, Washington, USA, June 2004.
  527. Carlos Cobos, Claudia Montealegre, María-Fernanda Mejía, Martha Mendoza and Elizabeth León. Web document clustering based on a new niching Memetic Algorithm, Term-Document Matrix and Bayesian Information Criterion, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 4629--4636, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  528. Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pahwa and Surasish Nag. A Pareto Archive Evolutionary Strategy Based Radial Basis Function Neural Network Training Algorithm for Failure Rate Prediction in Overhead Feeders, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 2127--2132, Vol. 2, ACM Press, New York, USA, June 2005.
  529. M. Cococcioni, P. Ducange, B. Lazzerini, F. Marcelloni and M. Vecchio. Identification of Mamdani Fuzzy Systems based on a Multi-Objective Genetic Algorithm, in AI*IA 2005 Workshop on Evolutionary Computation, vol. 1, pp. 1-10, Milan, Italy, 2005.
  530. M. Cococcioni, P. Guasqui, B. Lazzerini, F. Marcelloni. Identification of Takagi-Sugeno Fuzzy Systems based on Multi-Objective Genetic Algorithms, in International Workshop on Fuzzy Logic and Applications, Springer-Verlag, Lecture Notes on Artificial Intelligence Vol. 3849, pp. 172--177, 2005.
  531. M. Cococcioni, P. Ducange, B. Lazzerini and F.Marcelloni. A comparison of multi-objective evolutionary algorithms in fuzzy Rule-Based systems generation, in Proceedings of the North American Fuzzy Information Processing Society (NAFIPS'06), Montreal, Canada, June 2006.
  532. Marco Cococcioni, Pietro Ducange, Beatrice Lazzerini and Francesco Marcelloni. A New Multi-Objective Evolutionary Algorithm Based on Convex Hull for Binary Classifier Optimization, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3150--3156, IEEE Press, Singapore, September 2007.
  533. Rajan Filomeno Coelho and Philippe Bouillard. PAMUC II for multicriteria optimization of mechanical designs with expert rules, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 17--22, Portland, Oregon, USA, June 2004.
  534. Guilherme P. Coelho and Fernando Von Zuben. Omni-aiNet: An immune-inspired approach for omni optimization, in Hughes Bersini and Jorge Carneiro (editors), Artificial Immune Systems, 5th International Conference, ICARIS 2006, Proceedings, pp. 294--308, Springer-Verlag, Lecture Notes in Computer Science Vol. 4163, Oeiras, Portugal, September 2006.
  535. Guilherme Palermo Coelho, Fabrício Olivetti de França and Fernando J. Von Zuben. A Multi-Objective Multipopulation Approach for Biclustering, in Peter J. Bentley, Doheon Lee and Sungwon Jung (editors), Artificial Immune Systems, 7th International Conference, ICARIS 2008, pp. 71-82, Springer, Lecture Notes in Computer Science Vol. 5132, Phuket, Thailand, August 10--13, 2008.
  536. Guilherme Palermo Coelho, Fabrício Olivetti de França and Fernando J. Von Zuben. Improving a Multi-Objective Multipopulation Artificial Immune Network for Biclustering, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2748--2755, IEEE Press, Trondheim, Norway, May, 2009.
  537. Guilherme Palermo Coelho and Fernando J. Von Zuben. A Concentration-Based Artificial Immune Network for Multi-objective Optimization, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 343--357, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  538. Dayanne G. Coelho, Elizabeth F. Wanner, Sergio R. Souza, Eduardo G. Carrano and Robin C. Purshouse. A multiobjective evolutionary algorithm for the 2D guillotine strip packing problem, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1012--1019, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  539. Corrado Coia and Brian J. Ross. Automatic Evolution of Conceptual Building Architectures, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1140--1147, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  540. Lino Costa and Pedro Oliveira. Biplots in offline multiobjective reduction, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 1347--1354, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  541. Breno C. Costa, Paulo E.M. Almeida and Evandro Caldeira. Traffic lights timing inside microregion simulator using multiobjective optimization, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1382--1387, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  542. Carlos A. Coello Coello, Alan D. Christiansen and A. Hernández Aguirre. Multiobjective Design Optimization of Counterweight Balancing of a Robot Arm using Genetic Algorithms, In Proceedings of the Seventh International Conference on Tools with Artificial Intelligence, pages 20-23, Herndon, Virginia, U.S.A., November 1995. IEEE Computer Society Press.
  543. Carlos A. Coello Coello and Alan D. Christiansen. An Approach to Multiobjective Optimization Using Genetic Algorithms, In Cihan H. Dagli, Metin Akay, C. L. Philip Chen, Benito R. Fernández and Joydeep Ghosh, editors, Intelligent Engineering Systems Through Artificial Neural Networks. Volume 5. Fuzzy Logic and Evolutionary Programming, pages 411-416, St. Louis, Missouri, USA, November 1995. ASME Press.
  544. Carlos A. Coello Coello, Alan D. Christiansen and Arturo Hernández Aguirre. Use of Genetic Algorithms for Multiobjective Optimization of Counterweight Balancing of Robot Arms, In Jacob J. G. Chen, editor, EXPERSYS-95 Expert Systems Applications and Artificial Intelligence, pages 243-248, San Francisco, California, November 1995. I. I. T. T. International, Technology Transfer Series.
  545. Carlos A. Coello Coello. Using a Min-Max Method to solve Multiobjective Optimization Problems with Genetic Algorithms. In IBERAMIA'98. Lecture Notes in Computer Science, pages 303-314, Lisbon, Portugal, October 1998. Springer-Verlag.
  546. Carlos A. Coello Coello. An Updated Survey of Evolutionary Multiobjective Optimization Techniques : State of the Art and Future Trends, In 1999 Congress on Evolutionary Computation, pages 3-13, Vol. 1, Washington, D.C., July 1999. IEEE Service Center.
  547. Carlos A. Coello Coello. Constraint handling through a multiobjective optimization technique, In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 117-118, Orlando, Florida, July 1999.
  548. Carlos A. Coello Coello. Handling Preferences in Evolutionary Multiobjective Optimization: A Survey, In 2000 IEEE Congress on Evolutionary Computation, volume 1, pages 30-37, Piscataway, New Jersey, July 2000. IEEE Service Center.
  549. Carlos A. Coello Coello, Arturo Hernández Aguirre and Bill P. Buckles. Evolutionary Multiobjective Design of Combinational Logic Circuits, In Jason Lohn, Adrian Stoica, Didier Keymeulen and Silvano Colombano, editors, Proceedings of the Second NASA/DoD Workshop on Evolvable Hardware, pages 161-170, Los Alamitos, California, July 2000. IEEE Computer Society.
  550. Carlos A. Coello Coello and Gregorio Toscano Pulido.Multiobjective Optimization using a Micro-Genetic Algorithm, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 274--282, Morgan Kaufmann Publishers, San Francisco, California, July 2001.
  551. Carlos A. Coello Coello and Maximino Salazar Lechuga. MOPSO: A Proposal for Multiple Objective Particle Swarm Optimization, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1051--1056, IEEE Service Center, Piscataway, New Jersey, May 2002.
  552. Carlos A. Coello Coello and Nareli Cruz Cortés. An Approach to Solve Multiobjective Optimization Problems Based on an Artificial Immune System, in Jonathan Timmis and Peter J. Bentley (editors), First International Conference on Artificial Immune Systems (ICARIS'2002), pp. 212--221, University of Kent at Canterbury, Inglaterra, ISBN 1-902671-32-5, September 2002.
  553. Carlos A. Coello Coello and Ricardo Landa Becerra. Evolutionary Multiobjective Optimization using a Cultural Algorithm, in 2003 IEEE Swarm Intelligence Symposium Proceedings, IEEE Service Center, pp. 6--13, Indianapolis, Indiana, USA, April 2003.
  554. C. A. Coello Coello, G. Toscano Pulido and A. Hernández Aguirre. Multi-Objective Evolutionary Algorithms for Structural Optimization, in K.J. Bathe (editor), Computational Fluid and Solid Mechanics 2003. Proceedings of the Second MIT Conference on Computational Fluid and Solid Mechanics, Vol. 2, pp. 2244--2248, Elsevier, The Netherlands, June 2003.
  555. Carlos A. Coello Coello and Margarita Reyes Sierra. A Coevolutionary Multi-Objective Evolutionary Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 1, pp. 482--489, IEEE Press, Canberra, Australia, December 2003.
  556. Carlos A. Coello Coello.Evolutionary Multiobjective Optimization: Current and Future Challenges, in Jose Benitez, Oscar Cordon, Frank Hoffmann and Rajkumar Roy (editors), Advances in Soft Computing---Engineering, Design and Manufacturing, pp. 243--256, Springer-Verlag, ISBN 1-85233-755-9, September 2003.
  557. Carlos A. Coello Coello and Margarita Reyes Sierra. A Study of the Parallelization of a Coevolutionary Multi-Objective Evolutionary Algorithm, in Raúl Monroy, Gustavo Arroyo-Figueroa, Luis Enrique Sucar and Humberto Sossa (eds), Proceedings of the Third Mexican International Conference on Artificial Intelligence (MICAI'2004), pp. 688--697, Springer Verlag, Lecture Notes in Artificial Intelligence Vol. 2972, April 2004.
  558. Carlos A. Coello Coello. An Introduction to Multi-Objective Particle Swarm Optimizers, in António Gaspar-Cunha, Ricardo Takahashi, Gerald Schaefer and Lino Costa (editors), Soft Computing in Industrial Applications, pp. 3--12, Springer, Advances in Intelligent and Soft Computing Series, Vol. 96, Berlin, 2011, ISBN 978-3-642-20504-0 .
  559. David A. Coley. Evolving Green Buildings, in Erick Cantú-Paz (editor), 2002 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 62--68, New York, July 2002.
  560. J. Manuel Colmenar, José L. Risco-Martín, David Atienza and J. Ignacio Hidalgo. Multi-Objective Optimization of Dynamic Memory Managers Using Grammatical Evolution, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 1819--1826, ACM Press, Dublin, Ireland, July 12-16, 2011.
  561. Y. Collette, P. Siarry and H.-I. Wong. Multidimensional Data Representation Aimed at the Interpretation of Results from Multiobjective Optimization, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.
  562. Glauber R. Colnago and Paulo B. Correia. Multiobjective dispatch of hydrogenerating units using a two-step genetic algorithm method, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2554--2560, IEEE Press, Trondheim, Norway, May, 2009.
  563. Gualtiero Colombo and Christine Mumford. Comparing Algorithms, Representations and Operators for the Multi-Objective Knapsack Problem, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1268--1275, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.
  564. Pietro M. Congedo, Gianluca Geraci, Rémi Abgrall and Gianluca Iaccarino. Multi-objective design optimization using high-order statistics for CFD applications, in David Greiner, Blas Galván, Jacques Périaux, Nicolas Gauger, Kyriakos Giannakoglou and Gabriel Winter (Editors), Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2013), pp. 71--74, Universidad de las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain, October 7-9, 2013, ISBN 978-84-616-6249-4.
  565. Robert Cook, Arturo Molina-Cristobal, Geoff Parks, Cuitlahuac Osornio Correa and P. John Clarkson. Multi-objective Optimisation of a Hybrid Electric Vehicle: Drive Train and Driving Strategy, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 330--345, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  566. O. Cordón, F. Herrera, M.J. del Jesus and P. Villar. A Multiobjective Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy-Rule Based Classification Systems, in Joint 9th IFSA World Congress and 20th NAFIPS International Conference, Vol. 3, pp. 1253--1258, IEEE, 2001.
  567. Oscar Cordón, Enrique Herrera-Viedma and María Luque. Evolutionary Learning of Boolean Queries by Multiobjective Genetic Programming, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 710--719, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002.
  568. David W. Corne, Joshua D. Knowles and Martin J. Oates. The Pareto Envelope-based Selection Algorithm for Multiobjective Optimization, In Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, Xin Yao, Evelyne Lutton, J. J. Merelo and Hans-Paul Schwefel (editors), Proceedings of the Parallel Problem Solving from Nature VI Conference, pages 839--848. Springer, 2000
  569. David W. Corne, Nick R. Jerram, Joshua D. Knowles and Martin J. Oates, PESA-II: Region-based Selection in Evolutionary Multiobjective Optimization, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 283--290, Morgan Kaufmann Publishers, San Francisco, California, July 2001.
  570. David W. Corne and Joshua D. Knowles. No Free Lunch and Free Leftovers Theorems for Multiobjective Optimisation Problems, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 327--341, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  571. David Corne and Joshua Knowles. Some Multiobjective Optimizers are Better than Others, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2506--2512, IEEE Press, Canberra, Australia, December 2003.
  572. David Corne and Joshua Knowles. Techniques for Highly Multiobjective Optimisation: Some Nondominated Points are Better than Others, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 773--780, Vol. 1, ACM Press, London, UK, July 2007.
  573. G. Corral, A. Garcia-Piquer, A. Orriols-Puig, A. Fornells and E. Golobardes. Multiobjective Evolutionary Clustering Approach to Security Vulnerability Assesments, in Emilio Corchado, Xindong Wu, Erkki Oja, Álvaro Herrero and Bruno Baruque (editors), Hybrid Artificial Intelligence Systems, 4th International Conference, HAIS 2009, pp. 597--604, Springer. Lecture Notes in Artificial Intelligence Vol. 5572, Salamanca, Spain, Spain, June 10-12, 2009.
  574. Lino Costa, Pedro Oliveira, Isabel N. Figueiredo and Rogério P. Leal.Compliance Minimization of a Composite Laminated Plate by Genetic Algorithms, In Proceedings of the European Conference on Computational Mechanics---ECCM'99, pp. 740--741, Munich, Germany, 1999.
  575. Lino Costa, Pedro Oliveira, Isabel N. Figueiredo, Luís F. Roseiro and Rogério P. Leal.Structural Optimization of Laminated Plates with Genetic Algorithms, In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 621--627, San Francisco, California, 2000. Morgan Kaufmann.
  576. Lino Costa and Pedro Oliveira. An Elitist Genetic Algorithm for Multiobjective Optimization, in Jorge Pinho de Sousa (Editor), Proceedings of the 4th Metaheuristics International Conference---MIC 2001, pp. 205--209, Porto, Portugal, Program Operational Ciencia, Tecnologia, Inovaçao do Quadro Comunitário de Apoio III de Fundaçao para a Ciencia e Tecnologia, July 2001.
  577. Lino Costa and Pedro Oliveira. An Evolution Strategy for Multiobjective Optimization, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 97--102, IEEE Service Center, Piscataway, New Jersey, May 2002.
  578. Mario Costa and Edmondo Minisci. MOPED: A Multi-objective Parzen-Based Estimation of Distribution Algorithm for Continuous Problems, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 252--266, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  579. Lino Costa and Pedro Oliveira. Multiobjective Optimization: Redundant and Informative Objectives, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2008--2015, IEEE Press, Trondheim, Norway, May, 2009.
  580. Dan Costelloe, Peter Mooney and Adam Winstanley. Multi-Objective Optimisation and Dynamic Routing Algorithms in Transportation Networks, First International Conference on Geographic Information Science, Savannah, Georgia, October 2000.
  581. Dan Costelloe, Peter Mooney and Adam Winstanley. Multi-Objective Optimisation on Transportation Networks, Proceedings of 4th AGILE Conference, Brno, Czech Republic, April 2001.
  582. Ivo Couckuyt, Dirk Deschrijver and Tom Dhaene. Towards Efficient Multiobjective Optimization: Multiobjective Statistical Criterions, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1910--1917, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  583. Peter Cowling, Nic Colledge, Keshav Dahal and Stephen Remde. The Trade Off Between Diversity and Quality for Multi-objective Workforce Scheduling, in Jens Gottlieb and Günther R. Raidl (editors), Evolutionary Computation in Combinatorial Optimization, 6th European Conference, EvoCOP 2006, pp. 13--24, Springer. Lecture Notes in Computer Science Vol. 3906, Budapest, Hungary, April 2006.
  584. Matej Crepinsek, Marjan Mernik, Barbara Zadobovsek and Shih-Hsi Liu. Ancestry Tree as Base for Analysis of Exploration and Exploitation in Evolutionary Algorithms, in Bogdan Filipic and Jurij Silc, (editors), Proceedings of the 4th International Conference on Bioinspired Optimization Methods and their Applications (BIOMA 2010), pp. 31--42, Jozef Stefan Institute Press, Ljubljana, Slovenia, May 20-21, 2010.
  585. N. Croisard and M. Vasile. System Engineering Design Optimisation Under Uncertainty for Preliminary Space Mission, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 324--331, IEEE Press, Trondheim, Norway, May 2009.
  586. William A. Crossley. Genetic Algorithm Approaches for Multiobjective Design of Rotor Systems. In Proceedings of the 6th AIAA/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, pages 384-394, Bellevue, Washington, September 1996. AIAA Paper 96-4025.
  587. William A. Crossley. Genetic Algorithm with the Kreisselmeier-Steinhauser Function for Multiobjective Constrained Optimization of Rotor Systems. In AIAA 35th Aerospace Sciences Meeting and Exhibit, Reno, Nevada, January 1997. AIAA Paper 97-0080.
  588. Stephen R. Norris and William A. Crossley. Pareto-Optimal Controller Gains Generated by a Genetic Algorithm. In AIAA 36th Aerospace Sciences Meeting and Exhibit, Reno, Nevada, January 1998. AIAA Paper 98-0010.
  589. William A. Crossley, A. M. Cook, D. W. Fanjoy and V. B. Venkayya. Using the Two-Branch Tournament Genetic Algorithm for Multiobjective Design. In AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Long Beach, California, April 1998. AIAA Paper 98-1914.
  590. Nareli Cruz Cortés and Carlos A. Coello Coello. Multiobjective Optimization Using Ideas from the Clonal Selection Principle, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 158--170, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003.
  591. Nareli Cruz Cortés and Carlos A. Coello Coello. Using Artificial Immune Systems to Solve Optimization Problems, in Alwyn Barry (editor), 2003 Genetic and Evolutionary Computation Conference. Workshop Program, pp. 312--315, AAAI, Chicago, Illinois, USA, July 2003.
  592. J.M. de la Cruz, B. de Andres-Toro, A. Herrán, E. Besada Porta and P. Fernandez Blanco. Multiobjective Optimization of the Transport in Oil Pipelines, in Proceedings of the 9th IEEE International Conference on Emerging Technologies and Factory Automation, pp. 566--573, Vol. 1, Lisbon, Portugal, September 2003.
  593. André R. da Cruz, Rodrigo T. N. Cardoso, Elizabeth F. Wanner and Ricardo H. C. Takahashi. A Multiobjective Non-Linear Dynamic Programming Approachg for Optimal Biological Control in Soy Farming via NSGA-II, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3093--3099, IEEE Press, Singapore, September 2007.
  594. M. Cruz-Ramírez, C. Hervás-Martínez, J.C. Fernández and J. Sánchez-Monedero. Learning Artificial Neural Networks multiclassifiers by evolutionary multiobjective differential evolution guided by statistical distributions, in The 2010 International Joint Conference on Neural Networks (IJCNN'2010), IEEE Press, Barcelona, Spain, July 18-23, 2010.
  595. André da Cruz, Rodrigo T. N. Cardoso, Elizabeth F. Wanner and Ricardo H. C. Takahashi. Using Convex Quadratic Approximation as a Local Search Operator in Evolutionary Multiobjective Algorithms, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1217--1224, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  596. M. Cruz-Ramírez, J. C. Fernández, F. Fern´ndez-Navarro, J. Sánchez-Monedero and C. Hervás-Martínez. Selecting the Best Artificial Neural Network Model from a Multi-Objective Differential Evolution Pareto Front, in 2011 IEEE Symposium on Differential Evolution (SDE'2011), pp. 96--103, IEEE Service Center, Paris, France, April 11-15, 2011.
  597. Jonathas Cruz, Pedro Santos Neto, Ricardo Britto, Ricardo Rabelo, Werney Ayala, Thiago Soares and Mauricio Mota. Toward a Hybrid Approach to Generate Software Product Line Portfolios, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2229--2236, IEEE Press, Cancún, México, 20-23 June, 2013.
  598. Xunxue Cui, Miao Li and Tingjian Fang. Study of Population Diversity of Multiobjective Evolutionary Algorithm Based on Immune and Entropy Principles, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 1316--1321, May 2001.
  599. Dragan Cvetkovic and Ian C. Parmee. Evolutionary design and multi-objective optimisation, In 6th European Congress on Intelligent Techniques and Soft Computing EUFIT'98, pages 397-401, Aachen, Germany, September 1998.
  600. Dragan Cvetkovic and Ian C. Parmee. Use of preferences for GA-based multi-objective optimisation, In Wolfgang Banzhaf, Jason Daida, Agoston E. Eiben, Max H. Garzon, Vasant Honavar, Mark Jakiela and Robert E. Smith, editors, GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference, volume 2, pages 1504-1509, Orlando, Florida, USA, 1999. Morgan Kaufmann Publishers.
  601. Dragan Cvetkovic and Ian C. Parmee. Genetic algorithm-based multi-objective optimisation and conceptual engineering design, In Congress on Evolutionary Computation - CEC99, volume 1, pages 29-36, Washington D.C., USA, 1999. IEEE.
  602. Dragan Cvetkovic and Ian C. Parmee. Genetic algorithms based systems for conceptual engineering design, In U. Lindemann, H. Birkhofer, H. Meerkamm and S. Vajna, editors, Proceedings of the 12th International Conference on Engineering Design ICED'99, volume 2, pages 1035-1038, München, Germany, August 1999. TU München.
  603. Dragan Cvetkovic and Ian C. Parmee. Designer's preferences and multi-objective preliminary design processes, In Ian C. Parmee, editor, Proceedings of the Fourth International Conference on Adaptive Computing in Design and Manufacture (ACDM'2000), pages 249-260. PEDC, University of Plymouth, UK, Springer London, 2000.
  604. Dragan Cvetkovic and Ian C. Parmee. Agent-based Support within an Interactive Evolutionary Design System, in I.C. Parmee (Editor), Proceedings of the Fifth International Conference on Adaptive Computing Design and Manufacture (ACDM 2002), pp. 355--367, Springer-Verlag, University of Exeter, Devon, UK, April 2002.
  605. P. Czyzak and A. Jaszkiewicz. The Multiobjective Metaheuristic Approach for Optimization of Complex Manufacturing Systems. In G. Fandel and T. Gal, editors, Multiple Criteria Decision Making. Proceedings of the XIIth International Conference, pages 591-592, Hagen, Germany, 1997. Springer-Verlag.
  606. P. Czyzak and A. Jaszkiewicz. Pareto Simulated Annealing. In G. Fandel and T. Gal, editors, Multiple Criteria Decision Making. Proceedings of the XIIth International Conference, pages 297-307, Hagen, Germany, 1997. Springer-Verlag.
  607. D

  608. Kuang Da and Zheng Jinhua. Strategies Based on Polar Coordinates to Keep Diversity in Multi-Objective Genetic Algorithm, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1276--1281, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.
  609. André R. da Cruz, Rodrigo T.N. Cardoso and Ricardo H.C. Takahashi. Multiobjective Dynamic Optimization of Vaccination Campaigns Using Convex Quadratic Approximation Local Search, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 404--417, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  610. Guangming Dai, Yanzhi Li and Wei Zheng. Research on an Orthogonal and Model Based Multi-objective Genetic Algorithm, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 815-818, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6.
  611. N.V. Dakev, J.F. Whidborne and A.J. Chipperfield. H design of an EMS control system for a maglev vehicle using evolutionary algorithms. In Proceedings of the First IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems : Innovations and Applications, GALESIA'95, pages 226-231, Sheffield, U.K., 1995.
  612. N.V. Dakev, A.J. Chipperfield and P.J. Fleming. A General Approach for Solving Optimal Control Problems using Optimization Techniques, in IEEE International Conference on Systems, Man and Cybernetics, Vol. 5, pp. 4503--4508, IEEE, 1995.
  613. N. V. Dakev, A. J. Chipperfield, J. F. Whidborne and P. J. Fleming. An evolutionary algorithm approach for solving optimal control problems. In Proceedings of the 13th International Federation of Automatic Control (IFAC) World Congress, San Francisco, California, 1996.
  614. Moayed Daneshyari and Gary G. Yen. Cultural MOPSO: A Cultural Framework to Adapt Parameters of Multiobjective Particle Swarm Optimization, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 1325--1332, IEEE Service Center, Hong Kong, June 2008.
  615. Céline Dandois, Federico Divina and Wim Vanhoof. A Multi-Objective Evolutionary Concept Learner, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 411--418, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  616. Salvatore D'Angelo and Edmondo Minisci. Multi-Objective Evolutionary Optimization of Subsonic Airfoils by Kriging Approximation and Evolution Control, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1262--1267, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.
  617. P. J. Darwen and X. Yao. A Dilemma for Fitness Sharing with a Scaling Function, In Proceedings of the Second IEEE International Conference on Evolutionary Computation, Piscataway, New Jersey, 1995. IEEE Press.
  618. Dipankar Dasgupta and Fabio A. González.Evolving Complex Fuzzy Classifier Rules Using a Linear Tree Genetic Representation, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 299--305, Morgan Kaufmann Publishers, San Francisco, California, July 2001.
  619. Dipankar Dasgupta, German Hernandez, Andres Romero, Deon Garrett, Aishwarya Kaushal and James Simien. On The Use of Informed Initialization and Extreme Solutions Sub-population in Multiobjective Evolutionary Algorithms, in 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2009), pp. 58--65, IEEE Press, Nashville, TN, USA, March 30--April 2 2009. ISBN 978-1-4244-2764-2.
  620. Dipankar Dasgupta, Fernando Niño, Deon Garrett, Koyel Chaudhuri, Soujanya Medapati, Aishwarya Kaushal and James Simien. A multiobjective evolutionary algorithm for the task based sailor assignment problem, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1475--1482, ACM Press, Montreal, Canada, July 8--12, 2009. ISBN 978-1-60558-325-9.
  621. Dipankar Dasgupta, David Becerra, Alex Banceanu, Fernando Nino and James Simien. A Parallel Framework for Multi-objective Evolutionary Optimization, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 585--592, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  622. Dipankar Dasgupta, Deon Garrett, Fernando Nino, Alex Banceanu and David Becerra. A Genetic-Based Solution to the Task-Based Sailor Assignment Problem, in Raymond Chiong, Thomas Weise and Zbigniew Michalewicz (editors), Variants of Evolutionary Algorithms for Real-World Applications, pp. 167--203, Springer, Berlin, 2012.
  623. Dilip Datta and Kalyanmoy Deb. Design of optimum cross-sections for load-carrying members using multi-objective evolutionary algorithms, in Proceedings of the International Conference on Systemics, Cybernetics and Informatics (ICSCI), pp. 571--577, Hyberabad, India, 2005.
  624. Dilip Datta, Kalyanmoy Deb and Carlos M. Fonseca. Multi-objective Evolutionary Algorithms for Resource Allocation Problems, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 401--416, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  625. Dilip Datta, José Rui Figueira, Carlos M. Fonseca and Fernando Tavares-Pereira. Graph Partitioning Through a Multi-Objective Evolutionary Algorithm: A Preliminary Study, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 625--632, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6 .
  626. Rituparna Datta and Anima Majumder. Optimization of turning process parameters using Multi-objective Evolutionary algorithm, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3629--3634, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  627. Dilip Datta and Akan Kumar Das. Tuning Process Parameters of Electrochemical Machining Using a Multi-Objective Genetic Algorithm: A Preliminary Study, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 485--493, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  628. Rituparna Datta. Constrained Engineering Design Optimization Using a Hybrid Bi-Objective Evolutionary-Classical Methodology, Simulated Evolution and Learning, Vol. 1, No. 1, pp. 633--637, December 2010.
  629. Rituparna Datta and Kalyanmoy Deb. A Bi-objective Based Hybrid Evolutionary-Classical Algorithm for Handling Equality Constraints, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 313--327, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  630. Rituparna Datta and Kalyanmoy Deb. Multi-Objective Design and Analysis of Robot Gripper Configurations Using an Evolutionary-Classical Approach, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 1843--1850, ACM Press, Dublin, Ireland, July 12-16, 2011.
  631. Rituparna Datta and Kalyanmoy Deb. An adaptive normalization based constrained handling methodology with hybrid bi-objective and penalty function approach, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 3159--3166, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  632. Rituparna Datta, Kalyanmoy Deb, M. Fernanda P. Costa and A. Gaspar-Cunha. An Evolutionary Algorithm based Pattern Search Approach for Constrained Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1355--1362, IEEE Press, Cancún, México, 20-23 June, 2013.
  633. Rituparna Datta and Kalyanmoy Deb. Individual Penalty Based Constraint handling Using a Hybrid Bi-Objective and Penalty Function Approach, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2720--2727, IEEE Press, Cancún, México, 20-23 June, 2013.
  634. Mohsen Davarynejad, Jafar Rezaei, Jos Vrancken, Jan van den Berg and Carlos A. Coello Coello. Accelerating Convergence Towards the Optimal Pareto Front, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2107--2114, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  635. Madeleine Davis-Moradkhan, Will N. Browne and Peter Grindrod. Extending evolutionary algorithms to discover tri-criterion and non-supported solutions for the minimum spanning tree problem, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1829--1830, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .
  636. Peter Dawson, Geoff Parks, Daniel Jaeggi, Arturo Molina-Cristobal and P. John Clarkson. The Development of a Multi-threaded Multi-objective Tabu Search Algorithm, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 242--256, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  637. R. O. Day, J. B. Zydallis and G. B. Lamont. Solving the Protein structure Prediction Problem through a Multi-Objective Genetic Algorithm, in Proceedings of IEEE/DARPA International Conference on Computational Nanoscience (ICCN'02), pp. 32--35, 2002.
  638. Richard O. Day, Mark P. Kleeman and Gary B. Lamont. Solving the Multi-objective Quadratic Assignment Problem using a fast messy Genetic Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 2277--2283, IEEE Press, Canberra, Australia, December 2003.
  639. Richard O. Day, Mark P. Kleeman and Gary B. Lamont. Multi-Objective fast messy Genetic Algorithm Solving Deception Problems, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1502--1509, Portland, Oregon, USA, June 2004.
  640. Richard O. Day and Gary B. Lamont. Extended Multi-objective fast messy Genetic Algorithm Solving Deception Problems, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 296--310, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  641. Richard O. Day and Gary B. Lamont. Multiobjective Quadratic Assignment Problem Solved by an Explicit Building Block Search Algorithm - MOMGA-IIa, in Günther R. Raidl and Jens Gottlieb (editors), Evolutionary Computation in Combinatorial Optimization. 5th European Conference, EvoCOP 2005, pp. 91--100,Springer, Lecture Notes in Computer Science Vol. 3448, Lausanne, Switzerland, March/April 2005.
  642. Richard O. Day and Gary B. Lamont. MOEA Design of Robust Digital Symbol Sets, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 2213--2214, Vol. 2, ACM Press, New York, USA, June 2005.
  643. Richard O. Day and Gary B. Lamont. An Effective Explicit Building Block MOEA, the MOMGA-IIa, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 17--24, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  644. Jesica de Armas, Gara Miranda and Coromoto León. Hyperheuristic Encoding Scheme for Multi-Objective Guillotine Cutting Problems, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 1683--1690, ACM Press, Dublin, Ireland, July 12-16, 2011.
  645. Edwin D. de Jong, Richard A. Watson and Jordan B. Pollack.Reducing Bloat and Promoting Diversity using Multi-Objective Methods, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 11--18, Morgan Kaufmann Publishers, San Francisco, California, July 2001.
  646. Edwin D. de Jong. Representation Development from Pareto-Coevolution, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 262--273, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003.
  647. Edwin D. de Jong and Jordan B. Pollack. Learning the Ideal Evaluation Function, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 274--285, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003.
  648. Edwin D. de Jong. The Incremental Pareto-Coevolution Archive, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 525--536, Seattle, Washington, USA, June 2004.
  649. Edwin D. de Jong. Towards a Bounded Pareto-Coevolution Archive, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 2341--2348, Portland, Oregon, USA, June 2004.
  650. Edwin D. de Jong. Intransitivity in Coevolution, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 843--851, Birmingham, UK, September 2004.
  651. Matjaz Depolli, Erkki Laitinen and Bogdan Filipic. Parallel Differential Evolution for Simulation-Based Multiobjective Optimization of a Production Process, in Bogdan Filipic and Jurij Silc, (editors), Proceedings of the 4th International Conference on Bioinspired Optimization Methods and their Applications (BIOMA 2010), pp. 141--152, Jozef Stefan Institute Press, Ljubljana, Slovenia, May 20-21, 2010.
  652. Roberto De Prisco, Gianluca Zaccagnino and Rocco Zaccagnino. EvoBassComposer: a multi-objective genetic algorithm for 4-voice compositions, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 817--818, ACM Press, Portland, Oregon, USA, July 7--11, 2010. ISBN 978-1-4503-0072-8.
  653. Roberto De Prisco, Gianluca Zaccagnino and Rocco Zaccagnino. A Multi-objective Differential Evolution Algorithm for 4-voice Compositions, in 2011 IEEE Symposium on Differential Evolution (SDE'2011), pp. 65--72, IEEE Service Center, Paris, France, April 11-15, 2011.
  654. Bart De Smedt and Georges Gielen. HOLMES: Capturing the Yield-Optimized Design Space Boundaries of Analog and RF Integrated Circuits, in Norbert Wehn and Diederik Verkest (editors), Proceedings of Design, Automation and Test in Europe (DATE'03), pp. 256--261, Munich, Germany, IEEE, March 2003.
  655. Kalyanmoy Deb. Solving Goal Programming Problems Using Multi-Objective Genetic Algorithms. In 1999 Congress on Evolutionary Computation, pages 77-84, Washington, D.C., July 1999. IEEE Service Center.
  656. Kalyanmoy Deb. Multi-objective Evolutionary Optimization: Past, Present and Future,In Ian C. Parmee, editor, Proceedings of the Fourth International Conference on Adaptive Computing in Design and Manufacture (ACDM'2000), pages 225-236. PEDC, University of Plymouth, UK, Springer London, 2000.
  657. Kalyanmoy Deb, Samir Agrawal, Amrit Pratap and T. Meyarivan. A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II, In Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, Xin Yao, Evelyne Lutton, J. J. Merelo and Hans-Paul Schwefel (editors), Proceedings of the Parallel Problem Solving from Nature VI Conference, pages 849-858. Springer, 2000
  658. Kalyanmoy Deb, Amrit Pratap and Subrajyoti Moitra. Mechanical Component Design for Multiple Objectives Using Elitist Non-dominated Sorting GA, In Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, Xin Yao, Evelyne Lutton, J. J. Merelo and Hans-Paul Schwefel (editors), Proceedings of the Parallel Problem Solving from Nature VI Conference, pages 859--868. Springer, 2000
  659. Kalyanmoy Deb, Lothar Thiele, Marco Laumanns and Eckart Zitzler. Scalable Multi-Objective Optimization Test Problems, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 825--830, IEEE Service Center, Piscataway, New Jersey, May 2002.
  660. Kalyanmoy Deb and Sachin Jain. Running Performance Metrics for Evolutionary Multi-Objective Optimization, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 13--20, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.
  661. Kalyanmoy Deb, Manikanth Mohan and Shikhar Mishra. Towards a Quick Computation of Well-Spread Pareto-Optimal Solutions, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 222--236, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  662. Kalyanmoy Deb, Pawan Zope and Abhishek Jain. Distributed Computing of Pareto-Optimal Solutions with Evolutionary Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 534--549, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  663. Kalyanmoy Deb and Naveen Kumar Gupta. Optimal Operating Conditions for Overhead Crane Maneuvering Using Multi-objective Evolutionary Algorithms, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 1042--1053, Seattle, Washington, USA, June 2004.
  664. Kalyanmoy Deb, Kishalay Mitra, Rinku Dewri and Saptarshi Majumdar. Unveiling Optimal Operating Conditions for an Epoxy Polymerization Process Using Multi-objective Evolutionary Computation, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 920--931, Seattle, Washington, USA, June 2004.
  665. Kalyanmoy Deb and Santosh Tiwari. Omni-optimizer: A Procedure for Single and Multi-objective Optimization, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 47--61, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  666. Kalyanmoy Deb and Himanshu Gupta. Searching for Robust Pareto-Optimal Solutions in Multi-objective Optimization, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 150--164, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  667. Kalyanmoy Deb, Ankur Sinha and Saku Kukkonen. Multi-Objective Test Problems, Linkages and Evolutionary Methodologies, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1141--1148, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  668. Kalyanmoy Deb, Shamik Chaudhuri and Kaisa Miettinen. Towards Estimating Nadir Objective Vector Using Evolutionary Approaches, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 643--650, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  669. Kalyanmoy Deb and J. Sundar. Reference Point Based Multi-Objective Optimization Using Evolutionary Algorithms, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 635--642, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  670. Kalyanmoy Deb and Aravind Srinivasan. Innovization: Innovating Design Principles Through Optimization, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1629--1636, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  671. Kalyanmoy Deb and Dhish Kumar Saxena. Searching for Pareto-optimal solutions through dimensionality reduction for certain large-dimensional multi-objective optimization problems, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3353--3360, IEEE, Vancouver, BC, Canada, July 2006.
  672. Kalyanmoy Deb, Dhanesh Padmanabhan, Sulabh Gupta and Abhishek Kumar Mall. Reliability-Based Multi-objective Optimization Using Evolutionary Algorithms, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 66--80, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  673. Kalyanmoy Deb and Abhishek Kumar. Interactive Evolutionary Multi-Objective Optimization and Decision-Making using Reference Direction Method, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 781--788, Vol. 1, ACM Press, London, UK, July 2007.
  674. Kalyanmoy Deb, S. Karthik and Tatsuya Okabe. Self-Adaptive Simulated Binary Crossover for Real-Parameter Optimization, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 1187--1194, Vol. 2, ACM Press, London, UK, July 2007.
  675. Kalyanmoy Deb and Shamik Chaudhuri. I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 788--802, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  676. Kalyanmoy Deb, Udaya Bhaskara N. Rao and S. Karthik. Dynamic Multi-objective Optimization and Decision-Making Using Modified NSGA-II: A Case Study on Hydro-thermal Power Scheduling, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 803--817, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  677. Kalyanmoy Deb, Rahul Tewari, Mayur Dixit and Joydeep Dutta. Finding Trade-off Solutions Close to KKT Points Using Evolutionary Multi-Objective Optimization. In 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 2109-2116, IEEE Press, Singapore, September 2007.
  678. Kalyanmoy Deb and Abhay Kumar. Light Beam Search Based Multi-Objective Optimization using Evolutionary Algorithms. In 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 2125-2132, IEEE Press, Singapore, September 2007.
  679. Kalyanmoy Deb, Swanand Lele and Rituparna Datta. A Hybrid Evolutionary Multi-objective and SQP Based Procedure for Constrained Optimization, in Lishan Kang, Yong Liu and Sanyou Zeng (editors), Advances in Computation and Intelligence, Second International Symposium, ISICA 2007, pp. 36--45, Springer. Lecture Notes in Computer Science Vol. 4683, Wuhan, China, September 21-23, 2007.
  680. Kalyanmoy Deb. A Robust Evolutionary Framework for Multi-Objective Optimization, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 633--647, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6 .
  681. Kalyanmoy Deb and Karthik Sindhya. Deciphering Innovative Principles for Optimal Electric Brushless D.C. Permanent Magnet Motor Design, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 2283--2290, IEEE Service Center, Hong Kong, June 2008.
  682. Kalyanmoy Deb. Evolutionary Multi-Objective Optimization and Decision Making, in Bogan Filipic and Jurij Silc (editors), Third International Conference on Bioinspired Optimization Methods and their Applications (BIOMA 2008), pp. 3--15, Jozef Stefan Institute, Ljubljana, Slovenia, October 2008, ISBN 978-961-264-002-6.
  683. Kalyanmoy Deb and Ankur Sinha. Constructing Test Problems for Bilevel Evolutionary Multi-Objective Optimization, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1153--1160, IEEE Press, Trondheim, Norway, May, 2009.
  684. Kalyanmoy Deb and Amit Saha. Finding Multiple Solutions for Multimodal Optimization Problems Using a Multi-Objective Evolutionary Approach, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 447--454, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.
  685. Kalyanmoy Deb and Rituparna Datta. A Fast and Accurate Solution of Constrained Optimization Problems Using a Hybrid Bi-Objective and Penalty Function Approach, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 165--172, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  686. Kalyanmoy Deb, Ralph E. Steuer, Rajat Tewari and Rahul Tewari. Bi-objective Portfolio Optimization Using a Customized Hybrid NSGA-II Procedure, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 358--373, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  687. Kalyanmoy Deb, Sunith Bandaru and Cem Celal Tutum. Temporal Evolution of Design Principles in Engineering Systems: Analogies with Human Evolution, in Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia and Mario Pavone (editors), Parallel Problem Solving from Nature - PPSN XII, 12th International Conference, pp. 1--10, Springer. Lecture Notes in Computer Science Vol. 7492, Taormina, Italy, September 1-5, 2012.
  688. Kalyanmoy Deb and Himanshu Jain. Handling many-objective problems using an improved NSGA-II procedure, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1400--1407, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  689. Ivanoe De Falco, Antonio Della Cioppa, Umberto Scafuri and Ernesto Tarantino. A Multiobjective Evolutionary Approach for Multisite Mapping on Grids, in Roman Wyrzykowski, Jack Dongarra, Konrad Karczewski and Jerzy Wasniewski (editors), Parallel Processing and Applied Mathematics, 7th International Conference, PPAM 2007, pp. 991--1000, Springer. Lecture Notes in Computer Science Vol. 4967, Gdansk, Poland, September 9-12, 2008.
  690. María José del Jesus, Pedro González and Francisco Herrera. Multiobjective Genetic Algorithm for Extracting Subgroup Discovery Fuzzy Rules, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 50--57, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  691. Gul Nildem Demir, A. Sima Uyar and Sule Oguducu. Graph-based Sequence Clustering through Multiobjective Evolutionary Algorithms for Web Recommender System, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 1943--1950, Vol. 2, ACM Press, London, UK, July 2007.
  692. Elad Denenberg and Amiram Moshaiov. Evolutionary Search of Optimal Concepts Using a Relaxed-Pareto-optimality Approach, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2524--2531, IEEE Press, Trondheim, Norway, May, 2009.
  693. E. den Heijer and A.E. Eiben. Evolving Art Using Multiple Aesthetic Measures, in Cecilia Di Chio, Anthony Brabazon, Gianni A. Di Caro, Rolf Drechsler, Muddassar Farooq, Jörn Grahl, Gary Greenfield, Christian Prins, Juan Romero, Giovanni Squillero, Ernesto Tarantino, Andrea G.B. Tettamanzi, Neil Urquhart and A. Sima Uyar (editors), Applications of Evolutionary Computation, EvoApplications 2011: EvoCOMNET, EvoFIN, EvoHOT, EvoMUSART, EvoSTIM, and EvoTRANSLOG, pp. 234--243, Springer. Lecture Notes in Computer Science Vol. 6625, Torino, Italy, April 27-29, 2011.
  694. Roman Denysiuk, Lino Costa and Isabel Espírito Santo. Many-Objective Optimization using Differential Evolution with Variable-Wise Mutation Restriction, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 591--598, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  695. Venkat Devireddy and Patrick Reed. An Efficient Design Methodology for the Nondominated Sorted Genetic Algorithm-II, in James Foster (editors), 2003 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 67--71, AAAI, Chicago, Illinois, USA, July 2003.
  696. Venkat Devireddy and Patrick Reed. Efficient and Reliable Evolutionary Multiobjective Optimization Using epsilon-Dominance Archiving and Adaptive Population Sizing, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 390--391, Seattle, Washington, USA, June 2004.
  697. Dirk Devogelaere and Marcel Rijckaert. Scalars, A Way to Improve the Multi-Objective Prediction of the GAdC-Method, in Proceedings of the Sixth Brazilian Symposium on Neural Networks, pp. 56--60, 2000.
  698. Rinku Dewri, Nayot Poolsappasit, Indrajit Ray and Darrell Whitley. Optimal Security Hardening using Multi-objective Optimization on Attack Tree Models of Networks, in Peng Ning, Sabrina De Capitani di Vimercati, and Paul F. Syverson (editors), 2007 ACM Conference on Computer and Communications Security (CCS'07), pp. 204-213, ACM, Alexandria, Virginia, USA, October 28-31, 2007. ISBN 978-1-59593-703-2.
  699. Rinku Dewri, Darrell Whitley, Indrajit Ray and Indrakshi Ray. A Multi-Objective Approach to Data Sharing with Privacy Constraints and Preference Based Objectives, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1499--1506, ACM Press, Montreal, Canada, July 8--12, 2009. ISBN 978-1-60558-325-9 .
  700. Saima Dhouib, Souhail Dhouib and Habib Chabchoub. Artificial Bee Colony Metaheuristic to Find Pareto Optimal Solutions Set for engineering design problems, in 2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO), IEEE Press, Hammamet, Tunisia, April 28--30, 2013, ISBN 978-1-4673-5812-5.
  701. P. Di Barba, M. Farina and A. Savini. A Metaoptimization Approach to the Pareto Optimal Design of Multiple Wingdings Solenoids, In Kaisa Miettinen, Marko M. Mäkelä, Pekka Neittaanmäki and Jacques Periaux, editors, Proceedings of EUROGEN'99, Jyväskylä, Finland, 1999. University of Jyväskylä.
  702. P. Di Barba, M. Farina and A. Savini. Multicriteria Optimization of Air-cored Solenoids with Multiple Windings, In Proceedings of the International Symposium on Non-linear Electromagnetic Systems, ISEM'99, Pavia, Italy, May 1999. IOS Press.
  703. P. Di Barba, M. Farina and A. Savini. Vector Shape Optimization of an Electrostatic Micromotor using a Genetic Algorithm, In Proceedings of the International Symposium on Electromagnetic Fields in Electrical Engineering, ISEF'99, Pavia, Italy, September 1999.
  704. Renio Díaz and Alejandro Rosete Suárez. A Study of the Capacity of the Stochastic Hill Climbing to Solve Multi-Objective Problems. In Proceedings of the Third International Symposium on Adaptive Systems--Evolutionary Computation and Probabilistic Graphical Models, Institute of Cybernetics, Mathematics and Physics, pages 37--40, Havana, Cuba, March 19-23 2001.
  705. Diego Sal Díaz and Manuel Graña Romay. Introducing a Watermarking with a Multi-Objective Genetic Algorithm, in Hans-Georg Beyer et al. (editors), Genetic and Evolutionary Computation Conference (GECCO'2005), Vol. 2, pp. 2219--2220, ACM Press, Washington DC, USA, June 2005.
  706. Alan Díaz-Manríquez, Gregorio Toscano-Pulido and Ricardo Landa-Becerra. A Hybrid Local Search Operator for Multiobjective Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 173--180, IEEE Press, Cancún, México, 20-23 June, 2013.
  707. Alan Díaz-Manríquez, Gregorio Toscano-Pulido, Carlos A. Coello Coello and Ricardo Landa-Becerra. A Ranking Method Based on the R2 Indicator for Many-Objective Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1523--1530, IEEE Press, Cancún, México, 20-23 June, 2013.
  708. Robert P. Dick and Niraj K. Jha. MOGAC: A Multiobjective Genetic Algorithm for the Co-Synthesis of Hardware-Software Embedded Systems, In IEEE/ACM Conference on Computer Aided Design, pages 522-529, Los Alamitos, California, 1997. IEEE Computer Society Press.
  709. Robert P. Dick and Niraj K. Jha. CORDS: Hardware-Software Co-Synthesis of Reconfigurable Real-Time Distributed Embedded Systems, In Proceedings of the International Conference on Computer-Aided Design, pp. 62--68, November 1998.
  710. Robert P. Dick and Niraj K. Jha. MOCSYN: Multiobjective Core-Based Single-Chip System Synthesis, In Proc. Design, Automation and Test in Europe, pp. 263--270, March 1999.
  711. Grant Dick. Automatic identification of the niche radius using spatially-structured clearing methods, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 1264--1271, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  712. Grant Dik. Niche allocation in spatially-structured evolutionary algorithms with gradients, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1572--1579, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  713. C. Dimopoulos and A. M. S. Zalzala. Optimization of Cell Configuration and Comparisons using Evolutionary Computation Approaches, In David B. Fogel, editor, Proceedings of the 1998 International Conference on Evolutionary Computation, pages 148-153, Piscataway, New Jersey, 1998. IEEE.
  714. C. Dimopoulos and A. M. S. Zalzala. Evolutionary Computation Approaches to Cell Optimisation, In Ian Parmee, editor, The Integration of Evolutionary and Adaptive Computing Technologies with Product/System Design and Realisation, pages 69-83, Plymouth, United Kingdom, April 1998. Plymouth Engineering Design Centre, Springer-Verlag.
  715. Christos Dimopoulos. A Review of Evolutionary Multiobjective Optimization Applications in the Area of Production Research, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1487--1494, Portland, Oregon, USA, June 2004.
  716. C. Dimopoulos. A novel approach for the solution of the multiobjective cell-formation problem, in Proceedings of the International Conference of Production Research (ICPR '05), Salerno, Italy, August 2005.
  717. C. Dimopoulos. A Genetic Programming methodology for the solution of the multi-objective cell-formation problem, in Proceedings of the Joint Conference in Information Systems (JCIS '05), pp.1487--1494, Salt Lake City, USA, July 2005.
  718. C. Dimopoulos. Multiple Objectives in Cellular Manufacturing: An Evolutionary Approach, in I.C. Parmee (Editor), Adaptive Computing in Design and Manufacture 2006. Proceedings of the Seventh International Conference, pp. 91--95, The Institute for People-centred Computation, Bristol, UK, April 2006.
  719. Yong-Sheng Ding, Zhi-Hua Hu and Wen-Bin Zhang. Multi-objective Optimization, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2565--2571, IEEE Press, Canberra, Australia, December 2003.
  720. Alessandro G. Di Nuovo, Giuseppe Ascia and Vincenzo Catania. A Study on Evolutionary Multi-Objective Optimization with Fuzzy Approximation for Computational Expensive Problems, in Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia and Mario Pavone (editors), Parallel Problem Solving from Nature - PPSN XII, 12th International Conference, pp. 102--111, Springer. Lecture Notes in Computer Science Vol. 7492, Taormina, Italy, September 1-5, 2012.
  721. Laura Diosan. A multi-objective evolutionary approach to the portfolio optimization problem, in CIMCA '05: Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'05), pp. 183--187, Vol. 2, IEEE Computer Society, Vienna, Austria, November 28-30, 2005. ISBN 0-7695-2504-0.
  722. Federico Divina and Jesus S. Aguilar Ruiz. A Multi-Objective Approach to Discover Biclusters in Microarray Data, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 385--392, Vol. 1, ACM Press, London, UK, July 2007.
  723. Vladimir N. Dobrokhodov and Roman B. Statnikov. Multi-Criteria Identification of a Controllable Descending System, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 212--219, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  724. Grzegorz Dobrowolski and Marek Kisiel-Dorohinicki, Management of evolutionary MAS for multiobjective optimization, in International Union of Theoretical and Applied Mechanics Symposium on Evolutionary Methods in Mechanics, pp. 17--18, Cracow, Poland, September 2002.
  725. Karl Doerner, Walter J. Gutjahr, Richard F. Hartl, Christine Strauss and Christian Stummer. Ant Colony Optimization in Multiobjective Portfolio Selection, in Proceedings of the 4th Metaheuristics International Conference (MIC'2001), pp. 243--248, Porto, Portugal, July 2001.
  726. Benjamin Doerr and Daniel Johannsen. Edge-Based Representation Beats Vertex-Based Representation in Shortest Path Problems, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 759--766, ACM Press, Portland, Oregon, USA, July 7--11, 2010. ISBN 978-1-4503-0072-8.
  727. Benjamin Doerr, Bojana Kodric and Marco Voigt. Lower Bounds for the Runtime of a Global Multi-Objective Evolutionary Algorithm, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 432--439, IEEE Press, Cancún, México, 20-23 June, 2013.
  728. Martin Dohr and Bernd Eichberger. Guided Mutation Strategies for Multiobjective Automotive Network Architecture, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2473--2479, IEEE Press, Cancún, México, 20-23 June, 2013.
  729. Lukás Dolívka and Jirí Hospodka. Using the Differential Evolition Algorithm for the Multi-Objective Optimization of a Switched-Current Circuit, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 1351--1358, IEEE Press, Singapore, September 2007.
  730. T. Donateo, D. Laforgia, G. Aloisio and S. Mocavero. An Evolutionary Algorithm to design Diesel Engines, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 802--809, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  731. Stéphane Doncieux and Jean-Baptiste Mouret. Single Step Evolution of Robot Controllers for Sequential Tasks, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1771--1772, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9.
  732. Christian Domínguez-Medina, Güenter Rudolph, Oliver Schüetze and Heike Trautmann. Evenly Spaced Pareto Fronts of Quad-objective Problems using PSA Partitioning Technique, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 3190--3197, IEEE Press, Cancún, México, 20-23 June, 2013.
  733. Weishan Dong and Xin Yao. NichingEDA: Utilizing the Diversity Inside a Population of EDAs for Continuous Optimization, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 1260--1267, IEEE Service Center, Hong Kong, June 2008.
  734. D.C. Donha, D.S. Desanj and M.R. Katebi. Genetic Algorithm for Weight Selection in H Control Design. In Thomas Báck, editor, Proceedings of the Seventh International Conference on Genetic Algorithms, pages 599--606, San Mateo, California, July 1997. Michigan State University, Morgan Kaufmann Publishers.
  735. Yezid Donoso Meisel, Ramon Fabregat and Lluis Fàbrega, Multi-Objective Scheme over Multi-Tree Routing in Multicast MPLS Networks, in Proceedings of the IFIP/ACM Latin America Networking Conference 2003 (LANC03), ACM Press, La Paz,Bolivia, October 3-5, 2003.
  736. Yezid Donoso, Carolina Alvarado, Alfredo Perez and Ivan Herazo. A Multi-Objective Solution Applying MOEA in Optical Networks, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 360--367, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  737. Jason L. Dorn and S. Ranji Ranjithan. Evolutionary Multiobjective Optimization in Watershed Water Quality Management, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 692--706, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  738. Rolf Dornberger, Lukas Frey and Thomas Hanne. Single and Multiobjective Optimization of the Train Staff Planning Problem Using Genetic Algorithms, in 2008 Congress on Evolutionary Computation (CEC'2008), Hong Kong, pp. 970--977, IEEE Service Center, June 2008.
  739. Bernabé Dorronsoro, Pascal Bouvry, J. Alberto Cañero, Anthony A. Maciejewsky and Howard Jay Siegel. Multi-objective robust static mapping of independent tasks on grids, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3389--3396, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  740. Gerry V. Dozier, Shaun McCullough, Abdollah Homaifar and Loretta Moore. Multiobjective Evolutionary Path Planning via Fuzzy Tournament Selection, In IEEE International Conference on Evolutionary Computation (ICEC'98), pages 684-689, Piscataway, New Jersey, May 1998. IEEE Press.
  741. Dragan Cvetkovic, Ian Parmee and Eric Webb. Multi-objective Optimisation and Preliminary Airframe Design, In Ian Parmee, editor, The Integration of Evolutionary and Adaptive Computing Technologies with Product/System Design and Realisation, pages 255-267, Plymouth, United Kingdom, April 1998. Plymouth Engineering Design Centre, Springer-Verlag.
  742. Rolf Drechsler, Nicole Göckel and Bernd Becker. Learning Heuristics for OBDD Minimization by Evolutionary Algorithms. In Parallel Problem Solving from Nature (PPSN'96), volume LNCS 1141, pages 730-739, Berlin, Germany, 1996. Springer-Verlag.
  743. Nicole Drechsler, Rolf Drechsler and Bernd Becker. Multi-Objected Optimization in Evolutionary Algorithms Using Satisfyability Classes, In Bernd Reusch (editor), International Conference on Computational Intelligence, Theory and Applications, 6th Fuzzy Days, volume LNCS 1625, Dortmund, Germany, 1999. Springer-Verlag.
  744. Rafal Drezewski and Leszek Siwik. Co-Evolutionary Multi-Agent System with Sexual Selection Mechanism for Multi-Objective Optimization, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 2784--2791, IEEE, Vancouver, BC, Canada, July 2006.
  745. Rafal Drezewski and Leszek Siwik. Multi-objective Optimization Using Co-evolutionary Multi-agent System with Host-Parasite Mechanism, in Vassil N. Alexandrov, G. Dick van Albada, Peter M. A. Sloot and Jack Dongarra (editors), International Conference on Computational Science --- ICCS 2006, pp. 871--878, Springer-Verlag. Lecture Notes in Computer Science Vol. 3993, Berlin, Heidelberg, 2006.
  746. Rafal Drezewski and Leszek Siwik. The Application of Agent-Based Co-Evolutionary System with Predator-Prey Interactions to Solving Multi-Objective Optimization Problems, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 294--301, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  747. Rafal Drezewski and Leszek Siwik. Multi-objective Optimization Technique Based on Co-evolutionary Interactions in Multi-agent System, in Mario Giacobini et al. (Editors), Applications of Evolutionary Computing. EvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG, pp. 179-188, Springer. Lecture Notes in Computer Science Vol. 4448, Valencia, Spain, April 2007.
  748. Rafal Drezewski and Leszek Siwik. Co-evolutionary Multi-agent System with Predator-Prey Mechanism for Multi-objective Optimization, in Bartlomiej Beliczynski andrzej Dzielinski, Marcin Iwanowski and Bernardete Ribeiro (editors), Adaptive and Natural Computing Algorithms, 8th International Conference, ICANNGA 2007, Part I, pp. 67–-76, Springer-Verlag. Lecture Notes in Computer Science Vol. 4431, Warsaw, Poland, April 2007.
  749. Rafal Drezewski and Leszek Siwik. Techniques for Maintaining Population Diversity in Classical and Agent-Based Multi-objective Evolutionary Algorithms, in Yong Shi, Geert Dick van Albada, Jack Dongarra and Peter M.A. Sloot (editors), Computational Science -- ICCS 2007, pp. 904--911, Springer-Verlag. Lecture Notes in Computer Science Vol. 4488, Berlin, Heidelberg, May 2007.
  750. Rafal Drezewski and Leszek Siwik. Agent-Based Multi-Objective Evolutionary Algorithm with Sexual Selection, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3680--3685, IEEE Service Center, Hong Kong, June 2008.
  751. Rafal Drezewski and Leszek Siwik. Agent-Based Co-Operative Co-Evolutionary Algorithm for Multi-Objective Optimization, in L. Rutkowski, R. Tadeusiewicz, Lofti Zadeh and Jacek M. Zurada (editors), Artificial Intelligence and Soft Computing --- ICAISC 2008, pp. 388--397, Springer-Verlag. Lecture Notes in Computer Science Vol. 5097, Berlin, Heidelberg, 2008.
  752. Rafal Drezewski, Jan Sepielak and Leszek Siwik. Generating Robust Investment Strategies with Agent-Based Co-evolutionary System, in Marian Bubak, Geert Dick van Albada, Jack Dongarra and Peter M.A. Sloot (editors), Computational Science --- ICCS 2008, 8th International Conference, pp. 664--673, Springer-Verlag. Lecture Notes in Computer Science Vol. 5103, Kraków, Poland, June 2008.
  753. Olfa Dridi, Saoussen Krichen and Adel Guitouni. A multi-objective optimization approach for resource assignment and task scheduling problem: application to maritime domain awareness, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1264--1271, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  754. Martin Drozdik, Hernan Aguirre and Kiyoshi Tanaka. Attempt to Reduce the Computational Complexity in Multi-Objective Differential Evolution Algorithms, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 599--606, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  755. Madalina M. Drugan and Dirk Thierens. Generalized Adaptive Pursuit Algorithm for Genetic Pareto Local Search Algorithms, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 1963--1970, ACM Press, Dublin, Ireland, July 12-16, 2011.
  756. Madalina M. Drugan. Sets of Interacting Scalarization Fuctions in Local Search for Multi-objective Combinatorial Optimization Problems, in Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2013), pp. 41--47, IEEE Press, Singapore, April 16--19, 2013.
  757. Madalina M. Drugan. Cartesian Product of Scalarization Functions for Many-Objective QAP Instances with Correlated Flow Matrices, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 527--534, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  758. Yao Duan and R.G. Harley and T.G. Habetler. Multi-objective Design Optimization of Surface Mount Permanent Magnet Machine with Particle Swarm Intelligence, in IEEE Swarm Intelligence Symposium 2008, IEEE Press, St. Louis, Missouri, USA, September 2008.
  759. Xinrui Duan, Jing Liu, Li Zhang and Licheng Jiao. Multi-Objective Job Shop Scheduling Based on Multiagent Evolutionary Algorithm, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 543--552, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  760. Xinrui Duan, Jing Liu, Ruochen Liu and Licheng Jiao. A Preference Oriented Two-Layered Multiagent Evolutionary Algorithm for Multi-Objective Job Shop Problems, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 553--557, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  761. N.M. Duarte, A. E. Ruano, C.M. Fonseca and P.J. Fleming. Accelerating Multi-Objective Control System Design Using a Neuro-Genetic Approach, In 2000 IEEE Congress on Evolutionary Computation, volume 1, pages 392-397, Piscataway, New Jersey, July 2000. IEEE Service Center.
  762. Susana Duarte Flores and Benjamín Barán Cegla. Multiobjective Network Design Optimisation Using Parallel Evolutionary Algorithms, in XXVII Conferencia Latinoamericana de Informática (CLEI'2001), Mérida, Venezuela, 2001.
  763. Jérémie Dubois-Lacoste, Manuel López-Ibáñez and Thomas Stützle. Automatic Configuration of State-of-the-art Multi-Objective Optimizers Using the TP+PLS Framework, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 2019--2026, ACM Press, Dublin, Ireland, July 12-16, 2011.
  764. Jérémie Dubois-Lacoste, Manuel López-Ibáñez and Thomas Stützle. Pareto Local Search Algorithms for Anytime Bi-objective Optimization, in Jin-Kao Hao and Martin Middendorf (editors), Evolutionary Computation in Combinatorial Optimization, 12th European Conference, EvoCOP 2012, pp. 206--217, Springer. Lecture Notes in Computer Science Vol. 7245, Málaga, Spain, April 11-13, 2012.
  765. Els I. Ducheyne, Robert R. De Wulf and Bernard De Baets.Bi-objective genetic algorithm for forest management: a comparative study, Proceedings of the 2001 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 63--66, San Francisco, California, July 2001.
  766. Els I. Ducheyne, Bernard De Baets and Robert R. De Wulf.Is Fitness Inheritance Useful for Real-World Applications?, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 31--42, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  767. Jerzy Duda and Andrzej Osyczka. Multiple Criteria Lot-Sizing in a Foundry Using Evolutionary Algorithms, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 651--663, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  768. James Dudley, Luigi Barone and Lyndon While. Multi-Objective Spam Filtering Using an Evolutionary Algorithm, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 123--130, IEEE Service Center, Hong Kong, June 2008.
  769. A. Duenas and N. Mort. A Genetic Algorithm for Multiobjective Optimisation using the interactive Sequential Multiobjective Problem Solving Method, Proceedings of the International Conference on Artificial Intelligence (IC-AI'2001), pp. 633--639, CSREA Press, Las Vegas, Nevada, June 2001.
  770. A. Duenas and N. Mort. A Multiobjective Optimiser with a Fuzzy Genetic Algorithm, IASTED International Conference on Artificial Intelligence and Applications (AIA'2001), pp. 191--197, ACTA Press, September 4-7, Marbella, Spain, 2001.
  771. A. Duenas, K. Best and N. Mort. Solving a Multiple Criteria Decision-Making Problem Under Uncertainty Using Protrade and @RISK 4.0, Advances in Fuzzy Systems and Evolutionary Computation, WSEAS Press, 2002.
  772. Ozcan Dulger. Solving Weekly Course Timetabling Problem with Genetic Algorithm and Local Search, in Proceedings of the 3rd International Symposium on Computing in Science \& Engineering (ISCSE 2013), pp. 265--270, Gediz University Publications, Kusadasi, Aydin, Turkey, October 24-25, 2013.
  773. D. Dumitrescu, Rodica Ioana Lung, Réka Nagy, Daniela Zaharie and Attila Bartha. Exploring Evolutionary Detected Fuzzy Equilibria: A Link Between Normative Theory and Real Life, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 539--540, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.
  774. D. Dumitrescu, Rodica Ioana Lung, Noémi Gaskó and Tudor Mihoc Dan. Evolutionary Detection of Aumann Equilibrium, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 827--828, ACM Press, Portland, Oregon, USA, July 7--11, 2010. ISBN 978-1-4503-0072-8. .
  775. Dumitru Dumitrescu, Rodica Ioana Lung, Tudor Dan Mihoc and Reka Nagy. Fuzzy Nash-Pareto Equilibrium: Concepts and Evolutionary Detection, in Cecilia Di Chio, Stefano Cagnoni, Carlos Cotta, Marc Ebner, Anikó Ekárt, Anna I. Esparcia-Alcazar, Chi-Keong Goh, Juan J. Merelo, Ferrante Neri, Mike Preuss, Julian Togelius and Georgios N. Yannakakis (editors), Applications of Evolutionary Computation, EvoApplications 2010: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM and EvoSTOC, pp. 71--79, Springer. Lecture Notes in Computer Science Vol. 6024, Istanbul, Turkey, April 7-9, 2010.
  776. Hugo Duncan, Gerard Leconte and Peter Utiger. Using Genetic Algorithms in Industry -- Art or Science?, in Alwyn M. Barry (editor), GECCO 2002: Proceedings of the Bird of a Feather Workshops, Genetic and Evolutionary Computation Conference, pp. 211--214, AAAI, New York, July 2002.
  777. Enrique Dunn and Gustavo Olague. Multi-objective Sensor Planning for Efficient and Accurate Object Reconstruction, in Günther R. Raidl et al. (editors), Applications of Evolutionary Computing. Proceedings of Evoworkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART and EvoSTOC, Springer. Lecture Notes in Computer Science, Volume 3005, pp. 312--321, Coimbra, Portugal, April 2004.
  778. Enrique Dunn, Gustavo Olague, Evelyne Lutton and Marc Schoenauer. Pareto Optimal Sensing Strategies for an Active Vision System, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 457--463, Portland, Oregon, USA, June 2004.
  779. Juan J. Durillo, Antonio J. Nebro, Carlos A. Coello Coello, Francisco Luna and Enrique Alba. A Comparative Study of the Effect of Parameter Scalability in Multi-Objective Metaheuristics, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 1893--1900, IEEE Service Center, Hong Kong, June 2008.
  780. Juan J. Durillo, Antonio J. Nebro and Enrique Alba. The jMetal framework for multi-objective optimization: Design and architecture, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 4318--4325, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  781. Juan J. Durillo, Qingfu Zhang, Antonio J. Nebro and Enrique Alba. Distribution of Computational Effort in Parallel MOEA/D, in Carlos A. Coello Coello (editor), Learning and Intelligent Optimization, 5th International Conference, LION 5, pp. 488--502, Springer. Lecture Notes in Computer Science Vol. 6683, Rome, Italy, January 17-21, 2011.
  782. Antoine S. Dymond, Schalk Kok and P. Stephan Heyns. The Sensitivity of Multi-Objective Optimization Algorithm Performance to Objective Function Evaluation Budgets, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1868--1875, IEEE Press, Cancún, México, 20-23 June, 2013.
  783. E

  784. R.M. Edwards and G.G. Cook. 3G Tri Band Probe Fed Printed Eccentric Spiral Antenna for Nomadic Wireless Devices Using Optimal Convergence for Pareto Ranked Genetic Algorithm, in Eleven International Conference on Antennas and Propagation, Vol. 2, IEEE, pp. 537--541, 2001.
  785. G.A. Efthimeros, D.I. Photeinos, I.G.Katsipou, Z.G. Diamantis and D.T. Tsahalis. Optimisation of an Industrial Cogeneration System by means of a Multi-Objective Genetic Algorithm, in Proceedings of the 10th European Symposium on Computer Aided Process Engineering, Florence, Italy, pp. 25--29, 2000.
  786. Toru Eguchi, Kotaro Hirasawa and Jinglu Hu. Symbiotic Evolutional Models in Multiagent Systems, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 739--746, IEEE Press, Canberra, Australia, December 2003.
  787. Asif Ekbal, Sriparna Saha and Christoph S. Garbe. Multiobjective Optimization Approach for Named Entity Recognition, in Byoung-Tak Zhang and Mehmet A. Orgun (editors), PRICAI 2010: Trends in Artificial Intelligence, 11th Pacific Rim International Conference on Artificial Intelligence, pp. 52--63, Springer. Lecture Notes in Artificial Intelligence Vol. 6230, Daegu, Korea, August 30-September 2, 2010.
  788. Neil H. Eklund and Mark J. Embrechts. GA-Based Multi-Objective Optimization of Visible Spectra for Lamp Design. In Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark J. Embrechts and Okan Ersoy, editors, Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Complex Systems, pages 451-456, New York, November 1999. ASME Press.
  789. El-Sayed M. El-Alfy, Shokri Z. Selim and Syed N. Mujahid. Solving the Minimum-Cost Constrained Multipath Routing with Load Balancing in MPLS Networks Using an Evolutionary Method, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 4433--4438, IEEE Press, Singapore, September 2007.
  790. Adel A.A. El-Gammal and Adel A. El-Samahy. Adaptive Tuning of a PID Speed Controller for DC Motor Drives Using Multi-Objective Particle Swarm Optimization, in UKSIM 2009: International Conference on Computer Modelling and Simulation, pp. 398--404, IEEE Computer Society Press, Cambridge, UK, March 25-27, 2009, ISBN 978-1-4244-3771-9.
  791. Lionel Elliot, Derek B. Ingham, Adrian G. Kyne, Nicolae S. Mera, Mohamed Purkashanian and Chritopher W. Wilson. Optimisation of Reaction Mechanisms for Aviation Fuels Using a Multi-objective Genetic Algorithm, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 2046--2057, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003.
  792. Khaled El-Rayes and Khalied Hyari. Automated DSS for Lighting Design of Nighttime Operations in Highway Construction Projects, in Proceedings of the 19th International Symposium on Automation and Robotics in Construction (ISARC), pp. 135--140, National Institute of Standards and Technology, Gaithersburg, Maryland, September 2002.
  793. T. A. Ely, W. A. Crossley and E. A. Williams. Satellite Constellation Design for Zonal Coverage using Genetic Algorithms. In 8th AAS/AIAA Space Flight Mechanics Meeting, Monterey, California, February 1998.
  794. C. Emmanouilidis, A. Hunter, J. MacIntyre and C. Cox. Selecting Features in Neurofuzzy Modelling by Multiobjective Genetic Algorithms, In 9th International Conference on Artificial Neural Networks, pp. 749--754, Volume 2, IEEE, Edinburgh, UK, September 1999.
  795. C. Emmanouilidis, A. Hunter, J. MacIntyre and C. Cox. Multiple Criteria Genetic Algorithms for Feature Selection in Neurofuzzy Modeling, In 1999 International Joint Conference on Neural Networks, Vol. 6, pp. 4387--4392, Washington, D.C., July 1999.
  796. C. Emmanouilidis, A. Hunter and J. MacIntyre. A Multiobjective Evolutionary Setting for Feature Selection and a Commonality-Based Crossover Operator, In 2000 IEEE Congress on Evolutionary Computation, volume 1, pages 309-316, Piscataway, New Jersey, July 2000. IEEE Service Center.
  797. Christos Emmanouilidis and Andrew Hunter. A Comparison of Crossover Operators in Neural Network Feature Selection with Multiobjective Evolutionary Algorithms, GECCO-2000 Workshop on Evolutionary Computation in the Development of Artificial Neural Networks, pp. 58--60, Las Vegas, Nevada, July 2000.
  798. L. R. Emmendorfer and A. T. R. Pozo. An Empirical Evaluation of Linkage Learning Strategies for Multimodal Optimization, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 326--333, IEEE Press, Singapore, September 2007.
  799. Michael Emmerich and Boris Naujoks. Metamodel Assisted Multiobjective Optimisation Strategies and their Application in Airfoil Design, in I.C. Parmee (editor), Adaptive Computing in Design and Manufacture VI, pp. 249--260, Springer, London, 2004.
  800. Michael Emmerich, Nicola Beume and Boris Naujoks. An EMO Algorithm Using the Hypervolume Measure as Selection Criterion, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 62--76, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  801. Michael T.M. Emmerich and André H. Deutz. Test Problems Based on Lamé Superspheres, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 922--936, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  802. Michael Emmerich, André Deutz and Nicola Beume. Gradient-Based/Evolutionary Relay Hybrid for Computing Pareto Front Approximations Maximizing the S-Metric, in Thomas Bartz-Beielstein, María José Blesa Aguilera, Christian Blum, Boris Naujoks, Andrea Roli, Günter Rudolph and Michael Sampels (editors), Hybrid Metaheuristics, 4th International Workshop, HM 2007, pp. 140--156, Springer. Lecture Notes in Computer Science Vol. 4771, Dortmund, Germany, October 2007.
  803. Michael T.M. Emmerich and Carlos M. Fonseca. Computing Hypervolume Contributions in Low Dimensions: Asymptotically Optimal Algorithm and Complexity Results, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 121--135, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  804. Michael T.M. Emmerich, Andr&eactue; H. Deutz and Jan Willem Klinkenberg Hypervolume-based Expected Improvement: Monotonicity Properties and Exact Computation, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2147--2154, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  805. A. P. Engelbrecht and L.N.H. van Loggerenberg. Enhancing the NichePSO, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 2297--2302, IEEE Press, Singapore, September 2007.
  806. P. Engrand. A multi-objective optimization approach based on simulated annealing and its application to nuclear fuel management, in Proceedings of the Fifth International Conference on Nuclear Engineering, pp. 416--423, American Society of Mechanical Engineering, Nice, France, May 1997.
  807. Michael G. Epitropakis, Vassilis P. Plagianakos and Michael N. Vrahatis. Finding Multiple Global Optima Exploiting Differential Evolution's Niching Capability, in 2011 IEEE Symposium on Differential Evolution (SDE'2011), pp. 80--87, IEEE Service Center, Paris, France, April 11-15, 2011.
  808. Michael G. Epitropakis, Vassilis P. Plagianakos and Michael N. Vrahatis. Multimodal optimization using niching differential evolution with index-based neighborhoods, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1100--1107, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  809. Michael G. Epitropakis, Xiaodong Li and Edmund K. Burke. A Dynamic Archive Niching Differential Evolution Algorithm for Multimodal Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 79--86, IEEE Press, Cancún, México, 20-23 June, 2013.
  810. Stefan Eppe, Manuel López-Ibáñez, Thomas Stützle and Yves De Smet. An Experimental Study of Preference Model Integration into Multi-Objective Optimization Heuristics, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2751--2758, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  811. Cagkan Erbas, Selin C. Erbas and Andy D. Pimentel. A Multiobjective Optimization Model for Exploring Multiprocessor Mappings of Process Networks, in First IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS'03), IEEE, pp. 182--187, Newport Beach, California, USA, October 2003.
  812. Tohid Erfani and Sergei V. Utyuzhnikov. Cylindrical Constraint Evolutionary Algorithm for Multiobjective Optimization, in International Conference on Evolutionary Computation: Theory and Applications and International Conference on Fuzzy Computation: Theory and Applications (ECTA 2011, FCTA 2011), pp. 184--189, INSTICC Press, Paris, France, October 24-26, 2011, ISBN 978-989-8425-83-6.
  813. M. Erickson, A. S. Mayer and J. Horn. Development of a Multi-Objective Optimization Framework for Groundwater Remediation Design Using the Niched-Pareto Genetic Algorithm. In EOS: Transactions of American Geophysical Union, pages F840-F843. Am. Geophys. Union, 1999.
  814. Henrik Esbensen and Ernest S. Kuh. Design space exploration using the genetic algorithm. In IEEE International Symposium on Circuits and Systems (ISCAS'96), pages 500-503, Piscataway, NJ, 1996. IEEE.
  815. Henrik Esbensen and Ernest S. Kuh. EXPLORER: An Interactive Floorplaner for Design Space Exploration. In Proceedings of the European Design Automation Conference, pages 356-361, 1996.
  816. Hamidreza Eskandari, Luis Rabelo and Mansooreh Mollaghasemi. Multiobjective Simulation Optimization Using an Enhanced Genetic Algorithm, in M.E. Kuhl, N.M. Steiger, F.B. Armstrong and J.A. Joines (editors), Proceedings of 2005 Winter Simulation Conference, pp. 833--841, Orlando, Florida, USA, December 4-7, 2005.
  817. Hamidreza Eskandari, Christopher D. Geiger and Gary B. Lamont. FastPGA: A Dynamic Population Sizing Approach for Solving Expensive Multiobjective Optimization Problems, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 141--155, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  818. Hamidreza Eskandari, Christopher D. Geiger and Robert Bird. Handling Uncertainty in Evolutionary Multiobjective Optimization: SPGA, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 4130--4137, IEEE Press, Singapore, September 2007.
  819. Anna I. Esparcia-Alcázar, Anaìs Martìnez-Garcìa, Antonio M. Mora, J.J. Merelo and Pablo Garcìa-Sánchez. Genetic Evolution of Fuzzy Finite State Machines to Control Bots in a First-Person Shooter Game, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 829--830, ACM Press, Portland, Oregon, USA, July 7--11, 2010. ISBN 978-1-4503-0072-8. .
  820. A. I. Esparcia-Alcazar, A. Martínez-García, P. García-Sánchez, J. J. Merelo and A. M. Mor. Towards a Multiobjective Evolutionary Approach to Inventory and Routing Management in a Retail Chain, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 3166--3173, IEEE Press, Cancún, México, 20-23 June, 2013.
  821. Susana C. Esquivel, Héctor A. Leiva and Raúl H. Gallard. Multiplicity in Genetic Algorithms to face Multicriteria Optimization, In 1999 Congress on Evolutionary Computation, pages 85-90, Washington, D.C., July 1999. IEEE Service Center.
  822. James Ethridge, Gregory Ditzler and Robi Polikar. Optimal ν-SVM parameter estimation using multi objective evolutionary algorithms, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3570--3577, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  823. Richard M. Everson, Jonathan E. Fieldsend and Sameer Singh. Full Elite Sets for Multi-Objective Optimisation, in I.C. Parmee (Editor), Proceedings of the Fifth International Conference on Adaptive Computing Design and Manufacture (ACDM 2002), pp. 343--354, Springer-Verlag, University of Exeter, Devon, UK, April 2002.
  824. Richard M. Everson, David J. Walker and Jonathan E. Fieldsend. Edges of Mutually Non-dominating Sets, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 607--614, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  825. Ralph Evins, Philip Pointer and Ravi Vaidyanathan. Configuration of a Genetic Algorithm for Multi-Objective Optimisation of Solar Gain to Buildings, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 1327--1328, ACM Press, Portland, Oregon, USA, July 7--11, 2010. ISBN 978-1-4503-0072-8. .
  826. F

  827. Mario Garza Fabre, Gregorio Toscano Pulido and Carlos A. Coello Coello. Ranking Methods for Many-Objective Problems, in Arturo Hernández Aguirre, Raúl Monroy Borja and Carlos Alberto Reyes García (editors), MICAI 2009: Advances in Artificial Intelligence. 8th Mexican International Conference on Artificial Intelligence, pp. 633--645, Springer, Lecture Notes in Artificial Intelligence Vol. 5845, Guanajuato, México, November 2009.
  828. Mario Garza-Fabre, Gregorio Toscano Pulido and Carlos A. Coello Coello. Alternative Fitness Assignment Methods for Many-Objective Optimization Problems, in Artifical Evolution, 9th International Conference, Evolution Artificielle, EA 2009, pp. 146--157, Springer. Lecture Notes in Computer Science, Vol. 5975, Strasbourg, France, 2010, ISBN 978-3-642-14155-3.
  829. Mario Garza Fabre, Gregorio Toscano Pulido and Carlos A. Coello Coello. Two Novel Approaches for Many-Objective Optimization, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 4480-4487, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  830. Mario Garza-Fabre, Gregorio Toscano-Pulido, Carlos A. Coello Coello and Eduardo Rodríguez-Tello. Effective Ranking + Speciation = Many-Objective Optimization, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2115--2122, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  831. Mario Garza-Fabre, Eduardo Rodriguez-Tello and Gregorio Toscano-Pulido. Multiobjectivizing the HP Model for Protein Structure Prediction, in Jin-Kao Hao and Martin Middendorf (editors), Evolutionary Computation in Combinatorial Optimization, 12th European Conference, EvoCOP 2012, pp. 182--193, Springer. Lecture Notes in Computer Science Vol. 7245, Málaga, Spain, April 11-13, 2012.
  832. Mario Garza-Fabre, Gregorio Toscano-Pulido and Eduardo Rodriguez-Tello. Locality-Based Multiobjectivization for the HP Model of Protein Structure Prediction, in 2012 Genetic and Evolutionary Computation Conference (GECCO'2012), pp. 473--480, ACM Press, Philadelphia, USA, July 2012, ISBN: 978-1-4503-1177-9.
  833. Mario Garza-Fabre, Eduardo Rodriguez-Tello and Gregorio Toscano-Pulido. An Improved Multiobjectivization Strategy for HP Model-Based Protein Structure Prediction, in Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia and Mario Pavone (editors), Parallel Problem Solving from Nature - PPSN XII, 12th International Conference, pp. 82--92, Springer. Lecture Notes in Computer Science Vol. 7492, Taormina, Italy, September 1-5, 2012.
  834. Mario Garza-Fabre, Gregorio Toscano-Pulido and Eduardo Rodriguez-Tello. Handling Constraints in the HP Model for Protein Structure Prediction by Multiobjective Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2728--2735, IEEE Press, Cancún, México, 20-23 June, 2013.
  835. Rafael Falcon and Raimi Abielmona. A response-aware risk management framework for search-and-rescue operations, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1540--1547, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  836. Lang Fan, Christine L. Mumford and Dafydd Evans. A Simple Multi-Objective Optimization Algorithm for the Urban Transit Routing Problem, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1--7, IEEE Press, Trondheim, Norway, May 2009.
  837. Ali Farhang-Mehr and Shapour Azarm. Diversity Assessment of Pareto Optimal Solution Sets: An Entropy Approach, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 723--728, IEEE Service Center, Piscataway, New Jersey, May 2002.
  838. A. Farhang-Mehr and S. Azarm. Minimal Sets of Quality Metrics, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 405--417, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  839. M. Farina, A. Bramanti and P. Di Barba. Combining Global and Local Search of Non-dominated Solutions in Inverse Electromagnetism, in K.C. Giannakoglou, D.T. Tsahalis, J. Periaux, K.D. Papailiou and T. Fogarty (editors), Proceedings of the EUROGEN'2001 Conference, pp. 196--201, International Center for Numerical Methods in Engineering (CIMNE), Barcelona, Spain, March 2001.
  840. M. Farina. A Neural Network Based Generalized Response Surface Multiobjective Evolutionary Algorithm, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 956--961, IEEE Service Center, Piscataway, New Jersey, May 2002.
  841. M. Farina and P. Amato. On the Optimal Solution Definition for Many-criteria Optimization Problems, in Proceedings of the NAFIPS-FLINT International Conference'2002, pp. 233--238, IEEE Service Center, Piscataway, New Jersey, June 2002.
  842. M. Farina and P. Amato. Fuzzy Optimality and Evolutionary Multiobjective Optimization, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 58--72, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  843. M. Farina, K. Deb and P. Amato. Dynamic Multiobjective Optimization Problems: Test Cases, Approximation and Applications, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 311--326, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  844. Marco Farina and Massimiliano Gobbi. A fuzzy-optima definition based Multiobjective optimization of a racing car type-suspension system, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 9--16, Portland, Oregon, USA, June 2004.
  845. Raziyeh Farmani, Dragan A. Savic and Godfrey A. Walters. On Convergence of Multi-objective Pareto Front: Perturbation Method, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 443--456, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  846. Usman Farooq and C. P. Lam. A Max-Min Multiobjective Technique to Optimize Model Based Test Suite, in 2009 10th ACIS International Conference on Software Engineering, Artificial Intelligences, Networking and Parallel/Distributed Computing, pp. 569--574, IEEE Computer Society Press, May 27-29, Daegu, Korea, 2009.
  847. Salvatore Favuzza, Mariano Giuseppe Ippolito and Eleonora Riva Sanseverino. A New Crowded Comparison Operator in Constrained Multiobjective Optimization for Capacitors Sizing and Siting in Electrical Distribution Systems, in Moonis Ali and Floriana Esposito (editors), Innovations in Applied Artificial Intelligence, 18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2005, pp. 678--680, Springer. Lecture Notes in Artificial Intelligence Vol. 3533, Bari, Italy, June 22-24, 2005.
  848. Li Feng, Jianjun He, Qingyun Kong and Lin Guo. Application of multi-objective algorithm based on particle swarm optimization in electrical short-term load forecasting, in J.D. McDonald (editor), International Conference on Power System Technology, 2006. PowerCon 2006., pp. 1--5, IEEE, Chongqing, China, October 22-26 2006.
  849. Xiang Feng and Francis C. M. Lau. A Parallel Evolutionary Approach to Multi-objective Optimization, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 1199--1206, IEEE Press, Singapore, September 2007.
  850. Li Feng, Ziyan Liu and Chao Ma. Outlier Identification and Justification Using Multi-Objective PSO based Clustering Algorithm in Power System, in 5th IEEE International Conference on Industrial Informatics, 2007, pp. 365--369, IEEE Computer Society Press, Vienna, Austria, June 23-27 2007, ISBN 978-1-4244-0850-4.
  851. Li Feng, Ziyan Liu, Chao Ma, Lin Huang, Li Zhao and Tao Chen. Multi-objective vector evaluated PSO with time variant coefficients for outlier identification in power systems, in 43rd International Universities Power Engineering Conference, 2008. (UPEC 2008), pp. 1--6, Padova, Italy, September 2008.
  852. Ming-yue Feng, Xian-qing Yi, Guo-hui Li, Shao-xun Tang and Jun He. An Orthogonal Genetic Algorithm for Job Shop Scheduling Problems with Multiple Objectives, in Fourth International Conference on Natural Computation (ICNC 2008), pp. 546--550, Jinan, Shandong, China, IEEE Computer Society Press 2008.
  853. Lavinia Ferariu and Alina Patelli. Multiobjective Genetic Programming for Nonlinear System Identification, in Mikko Kolehmainen, Pekka Toivanen and Bartlomiej Beliczynski (editors), Adaptive and Natural Computing Algorithms, 9th International Conference, ICANNGA 2009, pp. 233--242, Springer. Lecture Notes in Computer Science Vol. 5495, Kuopio, Finland, April 23-25, 2009.
  854. Luis Fernandes, Isabel Figueiredo, Joaquim Júdice, Lino Costa and Pedro Oliveira, Application of Genetic Algorithms to Plate Optimization, In S.R. Idelshon, E. Oñate and E. Dvorkin (editors), Computational Mechanics, New Trends and Aplications, CIMNE, Barcelona, Spain, 1998.
  855. Eduardo Fernández, Edy López, Sergio Bernal, Carlos Coello and Jorge Navarro. Evolutionary Multiobjective Optimization using a Fuzzy-Based Dominance Concept, in International Conference on Engineering Optimization (EngOpt 2008), Rio de Janeiro, Brasil, June 1-5, 2008.
  856. Jose Luis Fernandez-Marquez and Josep Lluís Arcos. An evaporation mechanism for dynamic and noisy multimodal optimization, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 17--24, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .
  857. Francisco V. Fernández, J. Esteban-Muller, Elisenda Roca and Rafael Castro-López. Stopping criteria in evolutionary algorithms for multi-objective performance optimization of integrated inductors, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 4172--4179, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  858. Elios Ferrauto, Elia Daniele and Domenico P. Coiro. Horizontal axis hydroturbine Shroud airfoil optimization, in David Greiner, Blas Galván, Jacques Périaux, Nicolas Gauger, Kyriakos Giannakoglou and Gabriel Winter (Editors), Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2013), pp. 197--200, Universidad de las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain, October 7-9, 2013, ISBN 978-84-616-6249-4.
  859. J.C. Ferreira, C.M. Fonseca and A. Gaspar-Cunha. Methodology to Select Solutions from the Pareto-Optimal Set: A Comparative Study, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 789--796, Vol. 1, ACM Press, London, UK, July 2007.
  860. José C. Ferreira, Carlos M. Fonseca and António Gaspar-Cunha. Assessing the quality of the relation between scalarizing function parameters and solutions in multiobjective optimization, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1131--1136, IEEE Press, Trondheim, Norway, May, 2009.
  861. Matthew. P. Ferringer, David B. Spencer and Patrick Reed. Many-Objective Reconfiguration of Operational Satellite Constellations with the Large-Cluster Epsilon Non-Dominated Sorting Genetic Algorithm-II, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 340--349, IEEE Press, Trondheim, Norway, May 2009.
  862. Salim Fettaka and Jules Thibault. Pipeline Optimization Using a Novel Hybrid Algorithm Combining Front Projection and the Non-Dominated Sorting Genetic Algorithm-II (FP-NSGA-II), in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 697--704, IEEE Press, Cancún, México, 20-23 June, 2013.
  863. Jonathan E. Fieldsend and Sameer Singh, Pareto Multi-Objective Non-Linear Regression Modelling to Aid CAPM Analogous Forecasting, Proceedings of the IEEE/INNS Joint International Conference on Neural Networks (INCNN'02), World Congress on Computational Intelligence, Vol. 1, pp. 388--393, Honolulu, Hawaii, May 2002.
  864. Jonathan E. Fieldsend and Sameer Singh. A Multi-Objective Algorithm based upon Particle Swarm Optimisation, an Efficient Data Structure and Turbulence, Proceedings of the 2002 U.K. Workshop on Computational Intelligence, pages 37--44, Birmingham, UK, 2-4 September 2002.
  865. Jonathan E. Fieldsend and Richard M. Everson. ROC Optimisation of Safety Related Systems, in Proceedings of the First Workshop on ROC Analysis in AI, pp. 37--44, Valencia, Spain, August 2004.
  866. J.E. Fieldsend, J. Matatko and M. Peng. Cardinality constrained portfolio optimisation, in Z.R. Yang and R. Everson and H. Yin (editors), Proceedings of the Fifth International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'04), pp. 788--793, Springer-Verlag. Lecture Notes in Computer Science Vol. 3177, August 2004.
  867. Jonathan E. Fieldsend and Richard M. Everson. Multi-objective Optimisation in the Presence of Uncertainty, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 243--250, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  868. J.E. Fieldsend and R.M. Everson. Formulation and Comparison of Multi-Class ROC Surfaces, in Proceedings of the 2nd ROC Analysis in Machine Learning Workshop, part of the 22nd International Conference on Machine Learning (ICML 2005), pp. 41--48, Bonn, Germany, 2005.
  869. Jonathan E. Fieldsend and Richard M. Everson. On the Efficient Use of Uncertainty when Performing Expensive ROC Optimisation, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3985--3992, IEEE Service Center, Hong Kong, June 2008.
  870. Bogdan Filipic and Ivan Lorencin. Evolutionary multiobjective design of an alternative energy supply system, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 395--400, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  871. Cyril Fillon and Alberto Bartoli. Multi-objective Genetic Programming for Improving the Performance of TCP, in Marc Ebner, Michael O'Neill, Anikó Ekárt, Leonardo Vanneschi and Anna Isabel Esparcia-Alcázar (editors), Genetic Programming, 10th European Conference, EuroGP 2007, pp. 170--180, Springer. Lecture Notes in Computer Science Vol. 4445, Valencia, Spain, April 2007.
  872. Anthony Finkelstein, Mark Harman, S. Afshin Mansouri, Jian Ren and Yuanyuan Zhang. "Fairness Analysis" in Requirements Assignments, in 16th IEEE International Requirements Engineering Conference, IEEE Computer Society Press, pp. 115-124, September 2008.
  873. John H. Fisch, Yun Li, P.C. Kjaer, J.J. Gribble and T.J.E. Miller. Pareto-Optimal Firing Angles for Switched Reluctance Motor Control, In Proceedings of the 2nd IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA'97), pages 1-6, Glasgow, Scotland, September 1997. IEE.
  874. Michelle J. Fisher, Jonathan E. Fieldsend and Richard M. Everson. Precision and Recall Optimisation for Information Access Tasks, in Proceedings of ROCAI 2004, part of the 16th European Conference on Artificial Intelligence, pp. 45--54, Valencia, Spain, August 2004.
  875. Seth L. Fleet, Kevin Flitt, Claire J. Kennedy. A Genetic Algorithm for Multi-Function Radar Task List Optimisation, in Alwyn Barry (editor), 2003 Genetic and Evolutionary Computation Conference. Workshop Program, pp. 196--201, AAAI, Chicago, Illinois, USA, July 2003.
  876. M. Fleischer. The Measure of Pareto Optima. Applications to Multi-objective Metaheuristics, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 519--533, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  877. Mark Fleischer. Scale Invariant Pareto Optimality, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 233--240, Vol. 1, ACM Press, New York, USA, June 2005.
  878. Peter Fleming. Designing Control Systems with Multiple Objectives, in IEE Colloquium on Advances in Control Technology, pp. 4/1--4/4, 1999.
  879. Peter Fleming, Robin C. Purshouse and Robert J. Lygoe. Many-Objective Optimization: An Engineering Design Perspective, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 14--32, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  880. Jorge Isacc Flores-Mendoza and Efrén Mezura-Montes. Dynamic Adaptation and Multiobjective Concepts in a Particle Swarm Optimizer for Constrained Optimization, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3426--3433, IEEE Service Center, Hong Kong, June 2008.
  881. Francesco Folino and Clara Pizzuti. Multiobjective Evolutionary Community Detection for Dynamic Networks, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 535--536, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.
  882. Carlos M. Fonseca and Peter J. Fleming. Genetic Algorithms for Multiobjective Optimization: Formulation, Discussion and Generalization, In Stephanie Forrest, editor, Proceedings of the Fifth International Conference on Genetic Algorithms, pages 416-423, San Mateo, California, 1993. University of Illinois at Urbana-Champaign, Morgan Kauffman Publishers.
  883. C.M. Fonseca and P.J. Fleming. Multiobjective Genetic Algorithms, in IEE Colloquium on Genetic Algorithms for Control Systems Engineering, pp. 6/1--6/5, IEE, UK, 1993.
  884. C.M. Fonseca and P.J. Fleming. Multiobjective Optimal Controller Design with Genetic Algorithms, in International Conference on Control, Vol. 1, pp. 745--749, 1994.
  885. Carlos M. Fonseca and Peter J. Fleming. Multiobjective Genetic Algorithms Made Easy: Selection, Sharing and Mating Restriction, In Proceedings of the First International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, pages 42-52, Sheffield, UK, September 1995. IEE.
  886. Carlos M. Fonseca and Peter J. Fleming. Nonlinear System Identification with Multiobjective Genetic Algorithms. In Proceedings of the 13th World Congress of the International Federation of Automatic Control, pages 187-192, San Francisco, California, 1996. Pergamon Press.
  887. Carlos M. Fonseca and Peter J. Fleming. On the Performance Assessment and Comparison of Stochastic Multiobjective Optimizers. In Hans-Michael Voigt, Werner Ebeling, Ingo Rechenberg and Hans-Paul Schwefel, editors, Parallel Problem Solving from Nature--PPSN IV, Lecture Notes in Computer Science, pages 584-593, Berlin, Germany, September 1996. Springer-Verlag.
  888. Joao V. da Fonseca Neto and Celso P. Bottura. Parallel Genetic Algorithm Fitness Function Team for Eigenstructure Assignment via LQR, in 1999 Congress on Evolutionary Computation, Vol. 2, pp. 1035--1042, IEEE Service Center, Washington, DC, July 1999.
  889. Carlos M. Fonseca, Viviane Grunert da Fonseca and Luís Paquete. Exploring the Performance of Stochastic Multiobjective Optimisers with the Second-Order Attainment Function, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 250--264, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  890. Carlos M. Fonseca, Luís Paquete and Manuel López-Ibáñr;ez. An Improved Dimension-Sweep Algorithm for the Hypervolume Indicator, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3973--3979, IEEE, Vancouver, BC, Canada, July 2006.
  891. Carlos M. Fonseca, Andreia P. Guerreiro, Manuel López-Ibañez and Luís Paquete. On the Computation of the Empirical Attainment Function, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 106--120, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  892. Klebber T.M. Formiga, Fazal H. Chaufhry, Peter B. Cheung and Luisa F.R. Reis. Optimal Design of Water Distribution System by Multiobjective Evolutionary Methods, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 677--691, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  893. W. Fornaciari, P. Micheli, F.Salice and L. Zampella. A First Step Towards Hw/Sw Partitioning of UML Specifications, in IEEE/ACM Design Automation and Test in Europe (DATE'03), pp. 668--673, IEEE, Munich, Germany, 3-7 March, 2003.
  894. Manuel Förster, Bettina Bickel, Bern Hardung and Gabriella Kókai. Self-Adaptive Ant Colony Optimization Applied to Function Allocation in Vehicle Networks, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 1991--1998, Vol. 2, ACM Press, London, UK, July 2007.
  895. Félix-Antoine Fortin and Marc Parizeau. Revisiting the NSGA-II Crowding-Distance Computation, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 623--630, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  896. Félix-Antoine Fortin, Simon Greiner and Marc Parizeau. Generalizing the Improved Run-Time Complexity Algorithm for Non-Dominated Sorting, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 615--622, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  897. M. P. Fourman. Compaction of Symbolic Layout using Genetic Algorithms, In Genetic Algorithms and their Applications: Proceedings of the First International Conference on Genetic Algorithms, pages 141-153. Lawrence Erlbaum, 1985.
  898. Fabrício de França, Guilherme P. Coelho and Fernando J. Von Zuben. On the diversity mechanisms of opt-aiNet: A comparative study with fitness sharing, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3523--3530, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  899. Fabrício Olivetti de França and Guilherme P. Coelho. Identifying Overlapping Communities in Complex Networks with Multimodal Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 269--276, IEEE Press, Cancún, México, 20-23 June, 2013.
  900. Domonique Francisci and Martine Collard. Multi-Criteria Evaluation of Interesting Dependencies according to a Data Mining Approach, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1568--1574, IEEE Press, Canberra, Australia, December 2003.
  901. Fabio Freschi and Maurizio Repetto. Multiobjective Optimization by a Modified Artificial Immune System Algorithm, in Christian Jacob, Marcin L. Pilat, Peter J. Bentley and Jonathan Timmis (editors), Artificial Immune Systems. 4th International Conference, ICARIS 2005, pp. 248--261, Springer. Lecture Notes in Computer Science Vol. 3627, Banff, Canada, August 2005.
  902. Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank Neumann and Carsten Witt. Approximating Covering Problems by Randomized Search Heuristics Using Multi-Objective Models, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 797--804, Vol. 1, ACM Press, London, UK, July 2007.
  903. Tobias Friedrich, Nils Hebbinghaus and Frank Neumann. Plateaus Can Be Harder in Multi-Objective Optimization, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 2622--2629, IEEE Press, Singapore, September 2007.
  904. Tobias Friedrich, Christian Horoba and Frank Neumann. Multiplicative approximations and the hypervolume indicator, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 571--578, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .
  905. Tobias Friedrich, Trent Kroeger and Frank Neumann. Weighted Preferences in Evolutionary Multi-objective Optimization, in Dianhui Wang and Mark Reynolds (editors), AI 2011: Advances in Artificial Intelligence, 24th Australasian Joint Conference, pp. 291--300, Springer. Lecture Notes in Computer Science Vol. 7106, Perth, Australia, December 5-8, 2011.
  906. Liu Fu, Jintu Fan, Li Yuanchun, Tian Yantao and Dai Yisong. Study and Application of a Constrained Multi-Objective Optimization Algorithm, in Proceedings of the IEEE International Vehicle Electronics Conference, Vol. 1, pp. 305--307, 1999.
  907. Jian Fu, Qing Liu, Xinmin Zhou, Kui Xiang and Zhigang Zeng. An Adaptive Variable Strategy Pareto Differential Evolution Algorithm for Multi-Objective Optimization, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 648--652, IEEE Service Center, Hong Kong, June 2008.
  908. K. Fujita, Multi-objective optimal design of automotive engine using genetic algorithm, In Proceedings of DETC'98 - ASME Design Engineering Technical Conferences, page 11, 1998.
  909. Joanne Fuller, William Millan and Ed Dawson. Multi-objective Optimisation of Bijective S-Boxes, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1525--1532, Portland, Oregon, USA, June 2004.
  910. Pablo Funes, Eric Bonabeau, Jérome Hervé and Yves Morieux. Interactive Multi-Participant Tour Allocation, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1699--1705, Portland, Oregon, USA, June 2004.
  911. Wing On Fung and Tughrul Arslan. A Multi-Objective Algorithm for the Design of High Performance Reconfigurable Architectures with Embedded Decoding, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 4399--4404, IEEE Press, Singapore, September 2007.
  912. Tomonari Furukawa, Shinobu Yoshimura and Genki Yagawa. Weightless Regularised Identification Using Multi-objective Optimisation Method, in Proceedings of the 3rd International Conference on Inverse Problems in Engineering. Inverse Problems in Engineering: Theory and Practice, pp. 1--8, ASME Press, Port Ludlow, Washington, June 1999.
  913. Tomonari Furukawa, Shinobu Yoshimura and Hiroshi Kawai. Human-like Optimization---A Novel Technique for Computational Design, in H.A. Mang, F.G. Rammerstorfer and J. Eberhardsteiner (eds), Proceedings of the Fifth World Congress on Computational Mechanics (WCCM V), Vienna University of Technology, Vienna, Austria, July 2002.
  914. G

  915. Louis Gacôgne. Research of Pareto Set by Genetic Algorithm, Application to Multicriteria Optimization of Fuzzy Controller,In 5th European Congress on Intelligent Techniques and Soft Computing EUFIT'97, pages 837-845, Aachen, Germany, September 1997.
  916. Louis Gacôgne. Multiple Objective Optimization of Fuzzy Rules for Obstacles Avoiding by an Evolution Algorithm with Adaptative Operators, In Proceedings of the Fifth International Mendel Conference on Soft Computing (Mendel'99), pages 236-242, Brno, Czech Republic, June 1999.
  917. C. Gagné, M. Gravel and W. Price. Scheduling a single machine where setup times are sequence dependent using an ant-colony heuristic. In Abstract Proceedings of ANTS'2000, pages 157-160, Brussels, Belgium, September 2000.
  918. Caroline Gagné and Arnaud Zinflou. An hybrid algorithm for the industrial car sequecing problem, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 147--154, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  919. Thierry Galinho, Alain Cardon and Jean-Philippe Vacher. Genetic Integration in a Multiagent System for Job-Shop Scheduling. In Helder Coelho, editor, Progress in Artificial Intelligence--IBERAMIA'98, pages 76-87, Lisbon, Portugal, October 1998. Springer-Verlag.
  920. Sadeesha Gamhewa and Philip Hingston. Testing Parallelization Paradigms for MOEAs, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 755--756, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6 .
  921. Xavier Gandibleux, Hiroyuki Morita and Naoki Katoh. Use of a Genetic Heritage for Solving the Assignment Problem with Two Objectives, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 43--57, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  922. Xavier Gandibleux and Matthias Ehrgott. 1984-2004 -- 20 Years of Multiobjective Metaheuristics. But What About the Solution of Combinatorial Problems with Multiple Objectives?, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 33--46, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  923. K. N. Rao and S. Ganesan. ASIC benchmarking using Niched Pareto Genetic Algorithm. In Proceedings of International ICSC Symposia on Soft Computing (SOCO 96), pages B32-38, United Kingdom, October 1996.
  924. Jiaquan Gao, Guixia He, Yushun Wang and Feng Liu. Multi-Objective Scheduling Problems Subjected to Special Process Constraint, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 105--110, IEEE Service Center, Hong Kong, June 2008.
  925. Song Gao, Sanyou Zeng, Bo Xiao, Lei Zhang, Yulong Shi, Xin Tian, Yang Yang, Haoqiu Long, Xianqiang Yang, Danping Yu and Zu Yan. An Orthogonal Multi-objective Evolutionary Algorithm with Lower-dimensional Crossover, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1959--1964, IEEE Press, Trondheim, Norway, May, 2009.
  926. Jianquan Gao. WBMOIGA: Weight-Based Multiobjective Immune Genetic Algorithm and Its Application, in International Conference on Information and Automation (ICIA'09), pp. 1--6, IEEE Computer Society, Macau, China, June, 2009.
  927. Jiaquan Gao, Zhimin Fang and Lei Fang. Effects of Similarity-Based Selection on WBMOIA: A Weight-Based Multiobjective Immune Algorithm, in Zhihua Cai and Zhenhua Li and Zhuo Kang and Yong Liu (editors), Advances in Computation and Intelligence, 4th International Symposium, ISICA 2009, pp. 191--200, Springer. Lecture Notes in Computer Science Vol. 5821, Huangshi, China, October 23-25, 2009.
  928. Yuelin Gao and Min Qu. Multi-objective Particle Swarm Optimization Algorithm Based on the Disturbance Operation, in Hepu Deng, Duoqian Miao, Jingsheng Lei and Fu Lee Wang (editors), Artificial Intelligence and Computational Intelligence, Third International Conference, AICI 2011, pp. 591--600, Springer. Lecture Notes in Computer Science Vol. 7002, Taiyuan, China, September 24-25, 2011.
  929. Carlos García-Martinez, Oscar Cordón and Francisco Herrera. An Empirical Analysis of Multiple Objective Ant Colony Optimization Algorithms for the Bi-criteria TSP, in Marco Dorigo, Mauro Birattari, Christian Blum, Luca M. Gambardella, Francesco Mondada and Thomas Stützle (editors), Proceedings of the 4th International Workshop on Ant Colony Optimization and Swarm Intelligence, ANTS 2004, Belgium, Springer, Lecture Notes in Computer Science, Vol. 3172, pp. 61--72, 2004.
  930. Abel Garcia-Najera and John A. Bullinaria. Extending ACO_R to Solve Multi-Objective Problems, in G M. Coghill (editor), Proceedings of the UK Workshop on Computational Intelligence (UKCI 2007), Imperial College United Kingdom, London, UK, 2007.
  931. Abel Garcia-Najera and John A. Bullinaria. Comparison of similarity measures for the multi-objective vehicle routing problem with time windows, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 579--586, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9.
  932. Sandra García, Cristóbal Luque, Alejandro Cervantes and Inés M. Galván. Multiobjective Algorithms Hybridization to Optimize Broadcasting Parameters in Mobile Ad-Hoc Networks, in Joan Cabestany, Francisco Sandoval, Alberto Prieto and Juan M. Corchado (editors), Bio-Inspired Systems: Computational and Ambient Intelligence, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, pp. 728--735, Springer. Lecture Notes in Computer Science Vol. 5517, Salamanca, Spain, June 10-12, 2009.
  933. Sandra García and Ricardo Aler and Inés María Galv´an. Using Evolutionary Multiobjective Techniques for Imbalanced Classification Data, in Konstantinos Diamantaras, Wlodek Duch and Lazaros S. Iliadis (editors), Artificial Neural Networks - ICANN 2010, 20th International Conference, pp. 422--427, Springer. Lecture Notes in Computer Science Vol. 6352, Thessaloniki, Greece, September 15-18, 2010.
  934. Rodolfo Garcia, Emerson Cabrera Paraiso and Júlio Cesar Nievola. Multiobjective Optimization of Indexes Obtained by Clustering for Feature Selection Methods Evaluation in Genes Expression Microarrays, in Hujun Yin, Wenjia Wang and Victor Rayward-Smith (editors), Intelligent Data Engineering and Automated Learning - IDEAL 2011, 12th International Conference, pp. 353--360, Springer. Lecture Notes in Computer Science Vol. 6936, Norwich, UK, September 7-9, 2011.
  935. Abel Garcia–Najera The Vehicle Routing Problem with Backhauls: A Multi-objective Evolutionary Approach, in Jin-Kao Hao and Martin Middendorf (editors), Evolutionary Computation in Combinatorial Optimization, 12th European Conference, EvoCOP 2012, pp. 255--266, Springer. Lecture Notes in Computer Science Vol. 7245, Málaga, Spain, April 11-13, 2012.
  936. Abel Garcia-Najera and Miguel Ángel Gutiérres-Andrade. An Evolutionary Approach to the Multi-objective Pickup and Delivery Problem with Time Windows, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 997--1004, IEEE Press, Cancún, México, 20-23 June, 2013.
  937. Joost Garen. A Genetic Algorithm for Tackling Multiobjective Job-Shop Scheduling Problems, in Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen and Vincent T'kindt (editors), Metaheuristics for Multiobjective Optimisation, pp. 201--219, Springer. Lecture Notes in Economics and Mathematical Systems Vol. 535, Berlin, 2004.
  938. Ritu Garg and Awadhesh Kumar Singh. Multi-objective Workflow Grid Scheduling Based on Discrete Particle Swarm Optimization, in Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das and Suresh Chandra Satapathy (editors), Swarm, Evolutionary, and Memetic Computing, Second International Conference, SEMCCO 2011, pp. 183--190, Springer. Lecture Notes in Computer Science Vol. 7076, Visakhapatnam, Andhra Pradesh, India, December 19-21, 2011.
  939. Deon Garrett and Dipankar Dasgupta. Analyzing the Performance of Hybrid Evolutionary Algorithms for the Multiobjective Quadratic Assignment Problem, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 6174--6181, IEEE, Vancouver, BC, Canada, July 2006.
  940. Aaron Garrett, Gerry Dozier and Kalyanmoy Deb. NEMO: Neural Enhancement for Multiobjective Optimization, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3108--3113, IEEE Press, Singapore, September 2007.
  941. Deon Garrett and Dipankar Dasgupta. An Empirical Comparison of Memetic Algorithm Strategies on the Multiobjective Quadratic Assignment Problem, in 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2009), pp. 80--87, IEEE Press, Nashville, TN, USA, March 30--April 2, 2009. ISBN 978-1-4244-2764-2 .
  942. Deon Garrett. Plateau Connection Structure and Multiobjective Metaheuristic Performance, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1281--1288, IEEE Press, Trondheim, Norway, May, 2009.
  943. Cícero Garrozi and Aluizio Gausto Ribeiro Araújo. Multiobjective Genetic Algorithm for Multicast Routing, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 8682--8689, IEEE, Vancouver, BC, Canada, July 2006.
  944. A. Gaspar Cunha, Pedro Oliveira and José A. Covas. Use of Genetic Algorithms in Multicriteria Optimization to Solve Industrial Problems. In Thomas Bäck, editor, Proceedings of the Seventh International Conference on Genetic Algorithms, pages 682-688, San Mateo, California, July 1997. Michigan State University, Morgan Kaufmann Publishers.
  945. A. Gaspar Cunha, Pedro Oliveira and José A. Covas. Genetic Algorithms in Multiobjective Optimization Problems: An Application to Polymer Extrusion. In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 129-130, Orlando, Florida, July 1999.
  946. A. Gaspar-Cunha and J.A. Covas. A Real-World Test Problem for EMO Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 752--766, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  947. António Gaspar-Cunha and José A. Covas. RPSGAe--Reduced Pareto Set Genetic Algorithm: Application to Polymer Extrusion, in Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen and Vincent T'kindt (editors), Metaheuristics for Multiobjective Optimisation, pp. 221--249, Springer. Lecture Notes in Economics and Mathematical Systems Vol. 535, Berlin, 2004.
  948. A. Gaspar-Cunha. A Multi-Objective Evolutionary Algorithm for Solving Traveling Salesman Problems: Application to the Design of Polymer Extruders, in Bernardete Ribeiro, Rudolf F. Albrecht andrej Dobnikar, David W. Pearson and Nigel C. Steele (editors), Adaptive and Natural Computing Algorithms, pp. 189--193, Springer, Coimbra, Portugal, March 2005.
  949. A. Gaspar-Cunha and J. A. Covas. Robustness using Multi-Objective Evolutionary Algorithms, in Ashutosh Tiwari, Joshua Knowles, Erel Avineri, Keshav Dahal and Rajkumar Roy (editors), Applications of Soft Computing, Recent Trends, pp. 353--362, Springer. Advances in Intelligent and Soft Computing Vol. 36, Heidelberg, Germany, 2006, ISBN 978-3-540-29123-7.
  950. António Gaspar-Cunha, Fernando Mendes, Jõao Duarte, Armando Vieira, Bernardete Ribeiro, André Ribeiro and Jõao Neves. Multi-Objective Evolutionary Algorithms for Feature Selection: Application in Bankruptey Prediction, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 319--328, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  951. António Gaspar-Cunha, Dirk Loyens and Ferrie van Hattum. Aesthetic Design Using Multi-Objective Evolutionary Algorithms, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 374--388, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  952. Martin J. Geiger. MOOPPS: An Optimization System for Multi Objective Production Scheduling, in MIC'2005. The 6th Metaheuristics International Conference, pp. 403--408, Vienna, Austria, August 2005.
  953. Martin Josef Geiger and Wolf Wenger. On the Interactive Resolution of Multi-objective Vehicle Routing Problems, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 687--699, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  954. Martin Josef Geiger, Wolf Wenger and Walter Habenicht. Interactive Utility Maximization in Multi-Objective Vehicle Routing Problems: A "Decision Maker in the Loop"-Approach, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 178--184, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  955. Martin Josef Geiger. The Interactive Pareto Iterated Local Search (iPILS) Metaheuristic and its Application to de Biobjective Portfolio Optimization Problem, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 193--199, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  956. Martin Josef Geiger. Fast Approximation Heuristics fos Multi-Objective Vehicle Routing Problems, in Cecilia Di Chio, Anthony Brabazon, Gianni A. Di Caro, Marc Ebner, Muddassar Farooq, Andreas Fink, Jörn Grahl, Gary Greenfield, Penousal Machado, Michael O'Neill, Ernesto Tarantino and Neil Urquhard (editors), Applications of Evolutionary Computation, EvoApplications 2010: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoMUSART and EvoTRANSLOG, pp. 441--450, Springer. Lecture Notes in Computer Science Vol. 6025, Istanbul, Turkey, April 7-9, 2010.
  957. Mitsuo Gen, Kenichi Ida and Jongryul Kim. A Spanning Tree-Based Genetic Algorithm for Bicriteria Topological Network Design, In Proceedings of the 5th IEEE Conference on Evolutionary Computation, pages 15-20, Piscataway, New Jersey, 1998. IEEE Press.
  958. Mitsuo Gen and Yin-Zhen Li. Solving Multi-Objective Transportation Problems by Spanning Tree-based Genetic Algorithm. In Ian Parmee, editor, The Integration of Evolutionary and Adaptive Computing Technologies with Product/System Design and Realisation, pages 95-108, Plymouth, United Kingdom, April 1998. Plymouth Engineering Design Centre, Springer-Verlag.
  959. Na Geng, Duwei Gong and Yong Zhang. Robot Path Planning in an Environment with Many Terrain Based on Interval Multi-Objective PSO, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 813--820, IEEE Press, Cancún, México, 20-23 June, 2013.
  960. Paolo Geremia, Mauro Poian and Silvia Poles. Genetic Optimization for Yacht Design, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 2007--2012, Vol. 2, ACM Press, London, UK, July 2007.
  961. K. Gerstl, G. Rudolph, O. Schütze and H. Trautmann. Finding Evenly Spaced Fronts for Multiobjective Control via Averaging Hausdorff-Measure, in The 2011 8th International Conference on Electrical Engineering, Computer Science and Automatic Control (CCE'2011), pp. 975--980, IEEE Press, Mérida, Yucatán, México, October 2011.
  962. Ahmadreza Ghaffarizadeh, Kamilia Ahmadi and Nicholas S. Flann. Sorting Unsigned Permutations by Reversals using Multi-Objective Evolutionary Algorithms with Variable Size Individuals, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 292--295, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  963. K. Ghali and O. Hammami. Embedded Processor Characteristics Specification Through Multiobjective Evolutionary Algorithms, in Proceedings of the IEEE International Symposium on Industrial Electronics (ISIE'03), Vol. 2, pp. 907--912, IEEE, June, 2003.
  964. Adam Ghandar, Zbigniew Michalewicz, Ralf Zurbruegg and Chee Cheong. Index tracking fund enhancement using evolving multi-criteria fuzzy decision models, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 2980--2987, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  965. Adam Ghandar, Zbigniew Michalewicz and Ralf Zurbruegg. Interpretable multi-criteria fuzzy rule based decision models for hedge fund management, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3034--3041, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  966. Adam Ghandar and Zbigniew Michalewicz. Using Cellular Evolution for Diversification of the Balance Between Accurate and Interpretable Fuzzy Knowledge Bases for Classification, in 2011 IEEE Congress on Evolutionary Computation(CEC'2011), pp. 1481--1488, IEEE Service Center, New Orleans, Lousiana, USA, 5-8 June, 2011.
  967. Adam Ghandar, Zbigniew Michalewicz and Ralf Zurbruegg. Enhancing Profitability through Interpretability in Algorithmic Trading with a Multiobjective Evolutionary Fuzzy System, in Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia and Mario Pavone (editors), Parallel Problem Solving from Nature - PPSN XII, 12th International Conference, pp. 42--51, Springer. Lecture Notes in Computer Science Vol. 7492, Taormina, Italy, September 1-5, 2012.
  968. Saurav Ghosh, Subhrajit Roy, Sk. Minhazul Islam, Shizheng Zhao, Ponnuthurai Nagaratnam Suganthan and Swagatam Das. Non-uniform Circular-Shaped Antenna Array Design and Synthesis - A Multi-Objective Approach, in Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das and Suresh Chandra Satapathy (editors), Swarm, Evolutionary, and Memetic Computing, Second International Conference, SEMCCO 2011, pp. 223--230, Springer. Lecture Notes in Computer Science Vol. 7077, Visakhapatnam, Andhra Pradesh, India, December 19-21, 2011.
  969. Pradipta Ghosh, Hamim Zafar and Ankush Mandal. Modified Local Neighborhood Based Niching Particle Swarm Optimization for Multimodal Function Optimization, in Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das and Suresh Chandra Satapathy (editors), Swarm, Evolutionary, and Memetic Computing, Second International Conference, SEMCCO 2011, pp. 199--208, Springer. Lecture Notes in Computer Science Vol. 7076, Visakhapatnam, Andhra Pradesh, India, December 19-21, 2011.
  970. Oliver Giel. Expected Runtimes of a Simple Multi-objective Evolutionary Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1918--1925, IEEE Press, Canberra, Australia, December 2003.
  971. Oliver Giel and Per Kristian Lehre. On the Effect of Populations in Evolutionary Multi-objective Optimization, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 651--658, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4.
  972. D. Gies and Y. Rahmat-Samii. Vector evaluated particle swarm optimization (VEPSO): Optimization of a radiometer array antenna, in Vector evaluated particle swarm optimization (VEPSO): Optimization of a radiometer array antenna, pp. 2297--2300, IEEE, Monterey, Ca, June 20-26, 2004, ISBN 0-7803-8302-8.
  973. A. P. Giotis and K. C. Giannakoglou. Single- and Multi-Objective Airfoil Design Using Genetic Algorithms and Artificial Intelligence, In Kaisa Miettinen, Marko M. Mäkelä, Pekka Neittaanmäki and Jacques Periaux, editors, Proceedings of EUROGEN'99, Jyväskylä, Finland, 30 May-6 June 1999. University of Jyváskylä.
  974. Rafael Giusti, Gustavo E.A.P.A. Batista and Ronaldo C. Prati. Evaluating Ranking Composition Methods for Multi-Objective Optimization of Knowledge Rules, in Eighth International Conference on Hybrid Intelligent Systems (HIS'08), pp. 537--542, IEEE Computer Society Press, Barcelona, Spain, 10-12 September, 2008.
  975. Björn Gmeiner, Gerald Donnert and Harald Köstler. Optimizing Opening Strategies in a Real-time Strategy Game by a Multi-objective Genetic Algorithm, in Max Bramer and Miltos Petridis (editors), Research and Development in Intelligent Systems XXIX. Incorporating Applications and Innovations in Intelligent Systems XX. Proceedings of AI-2012, The Thirty-second SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, pp. 361--374, Springer London, 2012, ISBN 978-1-4471-4738-1.
  976. Tushar Goel and Kalyanmoy Deb. Hybrid Methods for Multi-Objective Evolutionary Algorithms, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 188--192, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.
  977. C. Goh and Y. Li. Multi-Objective Synthesis of CMOS Operational Amplifiers using a Hybrid Genetic Algorithm in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 214--218, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.
  978. C. K. Goh and K. C. Tan. Noise Handling in Evolutionary Multi-Objective Optimization, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 4497--4504, IEEE, Vancouver, BC, Canada, July 2006.
  979. C. K. Goh, K. C. Tan, C. Y. Cheong and Y. S. Ong. Noise-Induced Features in Robust Multi-Objective Optimization Problems, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 568--575, IEEE Press, Singapore, September 2007.
  980. C. K. Goh, Y. S. Ong, K. C. Tan and E. J. Teoh. An Investigation on Evolutionary Gradient Search for Multi-Objective Optimization, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3742--3747, IEEE Service Center, Hong Kong, June 2008.
  981. Elizabeth F.G. Goldbarg, Givenaldo R. de Souza and Marco C. Goldbarg. Particle Swarm Optimization for the Bi-objective Degree-constrained Minimum Spanning Tree, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 1527--1534, IEEE, Vancouver, BC, Canada, July 2006.
  982. Hamid Reza Golmakani and Elnaz Jalilipour Alishah. Portfolio Selection using an Artificial Immune System, in IEEE International Conference on Information Reuse and Integration (IRI'2008), pp. 28--33, IEEE Systems, Man, and Cybernetics Society, Las Vegas, Nevada, USA, July, 2008.
  983. Igor E. Golovkin, Roberto C. Mancini, Sushil J. Louis, Richard W. Lee and Lewis Klein. Multi-criteria Search and Optimization: an Application to X-ray Plasma Spectroscopy, In 2000 IEEE Congress on Evolutionary Computation, volume 2, pages 1521-1527, Piscataway, New Jersey, July 2000. IEEE Service Center.
  984. Igor E. Golovkin, Sushil J. Louis and Roberto C. Mancini. Parallel Implementation of Niched Pareto Genetic Algorithm Code for X-ray Plasma Spectroscopy. In Late Breaking Papers at the 2000 Genetic and Evolutionary Computation Conference, pages 222-227, Las Vegas, Nevada, July 2000.
  985. Igor E. Golovkin, Sushil J. Louis and Roberto C. Mancini. Parallel Implementation of Niched Pareto Genetic Algorithm Code for X-ray Plasma Spectroscopy, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1820--1824, IEEE Service Center, Piscataway, New Jersey, May 2002
  986. Alvaro Gomes, Carlos Henggeler Antunes and Antonio Gomes Martins. Dealing with solution diversity in an EA for multiple objective decision support - A case study, in Jens Gottlieb and Günter R. Raidl (editors), Evolutionary Computation in Combinatorial Optimization, Proceedings of the 4th European Conference, EvoCOP 2004, Springer, pp. 104--113, Lecture Notes in Computer Science, Vol. 3004, April 2004.
  987. Alvaro Gomes, Henggeler Antunes and A. Gomes Martins. Improving the Responsiveness of NSGA-II in Dynamic Environments Using an Adaptive Mutation Operator - A Case Study, in Ignac Lovrek, Robert J. Howlett and Lakhmi C. Jain (editors), Knowledge-Based Intelligent Information and Engineering Systems, 12th International Conference, KES 2008, pp. 90--97, Springer. Lecture Notes in Artificial Intelligence Vol. 5177, Zagreb, Croatia, September 3-5, 2008.
  988. Álvaro Gomes, Carlos Henggeler Antunes and Eunice Oliveira. Direct Load Control in the Perspective of an Electricity Retailer - A Multi-objective Evolutionary Approach, in António Gaspar-Cunha, Ricardo Takahashi, Gerald Schaefer and Lino Costa (editors), Soft Computing in Industrial Applications, pp. 13--26, Springer, Advances in Intelligent and Soft Computing Series, Vol. 96, Berlin, 2011, ISBN 978-3-642-20504-0 .
  989. Antonio F. Gómez-Skarmeta, Fernando Jiménez and Jesús Ibáñez. Pareto-optimality in Fuzzy Modeling, In 6th European Congress on Intelligent Techniques and Soft Computing EUFIT'98, pages 694-700, Aachen, Germany, September 1998.
  990. Pedro Gómez-Meneses, Marcus Randall and Andrew Lewis. A Hybrid Multi-objective Extremal Optimisation Approach for Multi-objective Combinatorial Optimisation Problems, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 292--299, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  991. Maoguo Gong, Licheng Jiao, Haifeng Du, Ronghua Shang and Bin Lu. Performance Assessment of an Artificial Immune System Multiobjective Optimizer by Two Improved Metrics, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 373--374, Vol. 1, ACM Press, New York, USA, June 2005.
  992. D.W. Gong, Y. Zhang and J.H. Zhang. Multi-objective particle swarm optimization based on minimal particle angle, in Advances in Intelligent Computing, Pt 1, Proceedings, pp. 571--580, Springer-Verlag, Lecture Notes in Computer Science Vol. 3644, 2005.
  993. Maoguo Gong, Lining Zhang, Licheng Jiao and Shuiping Gou. Solving Multiobjective Clustering Using an Immune-inspired Algorithm, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 15--22, IEEE Press, Singapore, September 2007.
  994. Wenyin Gong and Zhihua Cai. A Multiobjective Differential Evolution Algorithm for Constrained Optimization, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 181--188, IEEE Service Center, Hong Kong, June 2008.
  995. Dun-wei Gong, Na-na Qin and Xiao-yan Sun. Evolutionary Algorithms for Multi-objective Optimization Problems with Interval Parameters, in 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), pp. 411--420, IEEE Press, Changsha, September 23-26, 2010, ISBN 978-1-4244-6437-1.
  996. Maoguo Gong, Fang Liu, Wei Zhang, Licheng Jiao and Qingfu Zhang. Interactive MOEA/D for Multi-Objective DEcision Making, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 721--728, ACM Press, Dublin, Ireland, July 12-16, 2011.
  997. Maoguo Gong, Tian Hou, Bao Fu and Licheng Jiao. A Non-Dominated Neighbor Immune Algorithms for Community Detection in Networks, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 1627--1634, ACM Press, Dublin, Ireland, July 12-16, 2011.
  998. Tad Gonsalves and Kiyoshi Itoh. Multi-Objective Optimization for Software Development Projects, in S. I. Ao, Oscar Castillo, Craig Douglas, David Dagan Feng and Jeong-A Lee (Editors), Proceedings of the International MultiConference of Engineers and Computer Scientists 2010 (IMECS 2010), pp. 1--6, Vol. 1, Newswood Limited, Hong Kong, March 17-19, 2010, ISBN 978-988-17012-8-2.
  999. J. González, I. Rojas, H. Pomares and J. Ortega. RBF Neural Networks, Multiobjective Optimization and Time Series Forecasting, in José Mira and Alberto Prieto (editors), Bio-inspired Applications of Connectionism, 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, pp. 498--505, Springer-Verlag. Lecture Notes in Computer Science Vol. 2084, Granada, Spain, June 2001.
  1000. L.F. González, E.J. Whitney, K. Srinivas, K.C. Wong and J. Périaux, Multidisciplinary Aircraft Conceptual Design Optimisation Using a Hierarchical Asynchronous Parallel Evolutionary Algorithm (HAPEA), in I.C. Parmee (editor), Adaptive Computing in Design and Manufacture VI, pp. 273--284, Springer, London, 2004.
  1001. Ofelia Gonzalez, Coromoto Leon, Gara Miranda, Casiano Rodriguez and Carlos Segura. A Parallel Skeleton for the Strength Pareto Multiobjective Evolutionary Algorithm 2, in Proceedings of 15th EUROMICRO International Conference on Parallel, Distributed and Network-Based Processing (PDP'07), pp. 434--441, IEEE Computer Society, February 2007.
  1002. Ramón González, Benjamín Barán and J. Ignacio Hidalgo. Multiobjective Optimization for the Circuit Partitioning Problem into Multiple Devices, in Southern Programmable Logic 07. Designer's Forum Workshop, pp 9--14, IEEE Press, Mar del Plata, Argentina, February 2007, ISBN: 84-611-4716-2 .
  1003. David L. González-Álvarez}, Miguel A. Vega-Rodríguez, Juan A. Gómez-Pulido and Juan M. Sánchez-Pérez. Solving the motif discovery problem by using Differential Evolution with Pareto Tournaments, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 4140--4147, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1004. David L. González-Álvarez and Miguel A. Vega-Rodríguez and Juan A. Gómez-Pulido and Juan M. Sánchez-Pérez. Applying a Multiobjective Gravitational Search Algorithm (MO-GSA) to Discover Motifs, in Joan Cabestany, Ignacio Rojas and Gonzalo Joya (editors), Advances in Computational Intelligence, 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, pp. 372--379, Springer. Lecture Notes in Computer Science Vol. 6692, Torremolinos-Málaga, Spain, June 8-10, 2011.
  1005. David Gonzalez, Mario Garcia-Lozano, Silvia Ruiz Boque, Joan Olmos and DongSeop Lee. Optimization of realistic full frequency reuse OFDMA-based cellular networks, in 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC'2012), pp. 1324--1329, IEEE Press, Sydney, Australia, September 9-12, 2012.
  1006. Felipe Gonzales and Jacques Periaux. Advanced Coupling of Genetic Algorithms and Multi-objectivise Genetic Algorithms with Field Programmable Gate Arrays for Engineering and Path Planning Problems, in David Greiner, Blas Galván, Jacques Périaux, Nicolas Gauger, Kyriakos Giannakoglou and Gabriel Winter (Editors), Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2013), pp. 158--162, Universidad de las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain, October 7-9, 2013, ISBN 978-84-616-6249-4.
  1007. Deepak Gopinath, Yogendra K. Joshi and Shapour Azarm. Multi-Objective Placement Optimization of Power Electronic Devices on Liquid Cooled Heat Sinks, in Proceedings of the Seventeenth Annual IEEE Symposium on Semiconductor Thermal Measurement and Management, pp. 117--119, IEEE, 2001.
  1008. Falko Guderian, Rainer Schaffer and Gerhard Fettweis. Dimensioning the heterogeneous multicluster architecture via parallelism analysis and evolutionary computing, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 102--109, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1009. Falko Guderian, Rainer Schaffer and Gerhard Fettweis. Administration- and communication-aware IP core mapping in scalable multiprocessor system-on-chips via evolutionary computing, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 94--101, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1010. Tristram Gräbener, Alain Berro and Yves Duthen. What Algorithms for Urban Routing on Mobile Devices?, in 9th Workshop on Multimedia Metadata (WMM'09), Toulouse, France, March 2009.
  1011. Eric Granger, Donovan Prieur and Jean-François Connolly. Evolving ARTMAP neural networks using Multi-Objective Particle Swarm Optimization, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 2384--2391, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1012. Corrado Grappiolo, Julian Togelius and Georgios N. Yannakakis. Shifting Niches for Community Structure Detection, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 111--118, IEEE Press, Cancún, México, 20-23 June, 2013.
  1013. Salvatore Greco, Benedetto Matarazzo and Roman Slowinski. Interactive Evolutionary Multiobjective Optimization using Dominance-based Rough Set Approach, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3026--3033, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1014. Salvatore Greco, Benedetto Matarazzo and Roman Slowinski. Interactive Multiobjective Mixed-Integer Optimization Using Dominance-Based Rough Set Approach , in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 241--253, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  1015. Mardé Greeff and Andries P. Engelbrecht. Solving Dynamic Multi-Objective Problems with Vector Evaluated Particle Swarm Optimisation, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 2922--2929, IEEE Service Center, Hong Kong, June 2008.
  1016. Gary R. Greenfield. Evolving Aesthetic Images using Multiobjective Optimization, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1903--1909, IEEE Press, Canberra, Australia, December 2003.
  1017. Garrison W. Greenwood, Xiaobo Sharon Hu and Joseph G. D'Ambrosio. Fitness Functions for Multiple Objective Optimization Problems: Combining Preferences with Pareto Rankings. In Richard K. Belew and Michael D. Vose, editors, Foundations of Genetic Algorithms 4, pages 437-455, San Mateo, California, 1997. Morgan Kaufmann.
  1018. David Greiner, Blas Galván and Gabriel Winter. Safety Systems Optimum Design by Multicriteria Evolutionary Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 722--736, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  1019. D. Greiner, G. Winter and J.M. Emperador. Searching for an Efficient Method in Multiobjective Frame Optimisation using Evolutionary Algorithms, in K.J. Bathe (editor), Computational Fluid and Solid Mechanics 2003. Proceedings of the Second MIT Conference on Computational Fluid and Solid Mechanics, Vol. 2, pp. 2285--2290, Elsevier, The Netherlands, June 2003.
  1020. David Greiner, Gabriel Winter, José M. Emperador and Blas Galván. Gray Coding in Evolutionary Multicriteria Optimization: Application in Frame Structural Optimum Design, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 576--591, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1021. David Greiner, José M. Emperador, Gabriel Winter and Blas Galván. Improving Computational Mechanics Optimum Design Using Helper Objectives: An Application in Frame Bar Structures, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 575--589, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  1022. Gero Greiner. Single- and Multi-Objective Evolutionary Algorithms for Graph Bisectioning, in FOGA '09: Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic algorithms, pp. 29--38, ACM, Orlando, Florida, USA, January 2009.
  1023. David Greiner, Blas Galván, José M. Emperador, Máximo Méndez and Gabriel Winter. Introducing Reference Point Using g-Dominance in Optimum Design Considering Uncertainties: An Application in Structural Engineering, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 389--403, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  1024. L.A. Griffin, A.J. Chipperfield, P.J. Fleming, C. Davies and N. Grum. Active magnetic bearing control system testing and validation using a multiobjective algorithm, in 26th Annual Conference of the IEEE Industrial Electronics Society, Vol. 3, pp. 1675--1679, IEEE, 2000.
  1025. Pierre Grignon, J. Wodziack and G. M. Fadel. Bi-Objective optimization of components packing using a genetic algorithm, In NASA/AIAA/ISSMO Multidisciplinary Design and Optimization Conference, pages 352-362, Seattle, Washington, September 1996. AIAA-96-4022-CP.
  1026. Pierre Grignon and G. M. Fadel. Quality Criteria for Multi-objective optimization solutions obtained with a Genetic Algorithm. In 38Th AIAA/ASME/ASCE/AHS/ASC SDM conference, Orlando, Florida, April 1997. AIAA-97-1658.
  1027. Pierre Grignon and G. M. Fadel. Bi-objective Optimization by Iterative Genetic Algorithms. In EURO-INFORMS conference, Barcelona, Spain, July 1997.
  1028. Pierre Grignon and Georges M. Fadel. Multiobjective optimization by iterative genetic algorithm, In Proceedings of DETC'99 - ASME Design Engineering Technical Conferences, Las Vegas, Nevada, September 1999.
  1029. Pierre Grignon and Georges M. Fadel. Configuration design optimization method, In Proceedings of DETC'99 - ASME Design Engineering Technical Conferences, Las Vegas, Nevada, September 1999.
  1030. Christian Grimme and Karlheinz Schmitt. Inside a Predator-Prey Model for Multi-Objective Optimization: A Second Study, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 707--714, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4.
  1031. Christian Grimme and Joachim Lepping. Designing Multi-objective Variation Operators Using a Predator-Prey Approach, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 21--35, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  1032. Christian Grimme, Joachim Lepping and Alexander Papaspyrou. Exploring the Behavior of Building Blocks for Multi-Objective Variation Operator Design using Predator-Prey Dynamics, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 805--812, Vol. 1, ACM Press, London, UK, July 2007.
  1033. Christian Grimme, Joachim Lepping and Alexander. Discovering Performance Bounds for Grid Scheduling by Using Evolutionary Multiobjective Optimization, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 1491--1498, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6.
  1034. Christian Grimme and Joachim Lepping. An Approach to Instantly Use Single-Objective Results for Multi-Objective Evolutionary Combinatorial Optimization, in Youssef Hamadi and Marc Schoenauer (editors), Learning and Intelligent Optimization, 6th International Conference, LION 6, pp. 396--401, Springer. Lecture Notes in Computer Science Vol. 7219, Paris, France, January 16-20, 2012.
  1035. Jacomine Grobler, Andries P. Engelbrecht and V. S. S. Yadavalli. Multi-Objective DE and PSO Strategies for Production Scheduling, in 2008 Congress on Evolutionary Computation (CEC'2008), Hong Kong, pp. 1154--1161, IEEE Service Center, June 2008.
  1036. Jacomine Grobler and Andries P. Engelbrecht. Hybridizing PSO and DE for improved vector evaluated multi-objective optimization, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1255--1262, IEEE Press, Trondheim, Norway, May, 2009.
  1037. J.C.J. Groot, W.A.H. Rossing, A. Jellema and M.K. Van Ittersum. Landscape design and agricultural land-use allocation using Pareto-based multi-objective Differential Evolution, in International Environmental Modelling & Software Summit, Burlington, Vermont, USA, July 2006.
  1038. Crina Grosan. A new evolutionary technique for detecting Pareto continuous regions, in Alwyn Barry (editor), 2003 Genetic and Evolutionary Computation Conference. Workshop Program, pp. 304--307, AAAI, Chicago, Illinois, USA, July 2003.
  1039. Crina Grosan. Improving the Performance of Evolutionary Algorithms for the Multiobjective 0/1 Knapsack Problem using epsilon-dominance, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1958--1963, Portland, Oregon, USA, June 2004.
  1040. Crina Grosan and Ajith Abraham. Ensemble of Genetic Programming Models for Designing Reactive Power Controllers, in Nadia Nedjah, Luiza M. Mourelle, Marley M.B.R. Vellasco, Ajith Abraham and Mario Köppen (editors), Fifth International Conference on Hybrid Intelligent Systems (HIS'05), pp. 277--282, IEEE Computer Society, Los Alamitos, California, USA, November 2005.
  1041. Laurent Grosset, Satchi Venkataraman and Raphael T. Haftka. Genetic optimization of two-material composite laminates, in Proceedings of the American Society of Composites-16th Annual Technical Conference, September 9-12, 2001, Blacksburg, VA.
  1042. Darko Grundler. Multiobjective Optimization of Heat Transfer Plant using Decision Table Controller and Genetic Algorithm, In 2000 IEEE Congress on Evolutionary Computation, volume 1, pages 517-521, San Diego, California, July 2000. IEEE Service Center.
  1043. Jun-Hua Gu, Qing Tan Na-Na Li and Wei Wei. A Novel Niche Genetic Algorithm with Local Search Ability, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 4606--4609, IEEE Press, Singapore, September 2007.
  1044. Fang-Qing Gu and Hai-Lin Liu. A Novel Weight Design in Multi-objective Evolutionary Algorithm, in 2010 International Conference on Computational Intelligence and Security (CIS 2010), pp. 137--141, IEEE Computer Society Press, Nanning, Guangxi Zhuang Autonomous Region, China, 11--14 December 2010.
  1045. Stefan Gueorguiev, Mark Harman and Giuliano Antoniol. Software project planning for robustness and completion time in the presence of uncertainty using multi objective search based software engineering, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1673--1680, ACM Press, Montreal, Canada, July 8--12, 2009. ISBN 978-1-60558-325-9 .
  1046. José Luis Guerrero, Jesús García, Luis Martí, José M. Manuel Molina and Antonio Berlanga. A stopping criterion based on Kalman estimation techniques with several progress indicators, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 587--594, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .
  1047. José L. Guerrero, Luis Martí, Antonio Berlanga, Jesús Garcia and José M. Molina. Introducing a robust and efficient stopping criterion for MOEAs, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3050--3057, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1048. Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera and Ben Paechter. Improving the Performance of Multi-objective Genetic Algorithm for Function Approximation Through Parallel Islands Specialisation, in Abdul Sattar and Byeong Ho Kang (editors), AI 2006: Advances in Artificial Intelligence, 19th Australian Joint Conference on Artificial Intelligence, pp. 1127--1132, Springer. Lecture Notes in Computer Science. Volume 4304, Hobart, Australia, December 4-8 2006.
  1049. Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, L. J. Herrera and Francisco Fernández. Multiobjective RBFNNs Designer for Function Approximation: An Application for Mineral Reduction, in Licheng Jiao, Lipo Wang, Xin-bo Gao, Jing Liu and Feng Wu (editors), Advances in Natural Computation, Second International Conference, ICNC 2006, pp. 511--520, Springer. Lecture Notes in Computer Science Vol. 4221, Xi'an, China, September 24-28, 2006.
  1050. Alberto Guillén, Ignacio Rojas, Jesus González, Hector Pomares, Luis J. Herrera and Ben Paechter. Boosting the Performance of a Multiobjective Algorithm to Design RBFNNs Through Parallelization, in Bartlomiej Beliczynski andrzej Dzielinski, Marcin Iwanowski and Bernardete Ribeiro (editors), Adaptive and Natural Computing Algorithms, 8th International Conference, ICANNGA 2007, Part I, pp. 85--92, Springer-Verlag. Lecture Notes in Computer Science Vol. 4431, Warsaw, Poland, April 2007.
  1051. Alberto Guillén, Héctor Pomares and Jesús González and Ignacio Rojas and L. J. Herrera and A. Prieto. Parallel Multi-objective Memetic RBFNNs Design and Feature Selection for Function Approximation Problems, in Francisco Sandoval, Alberto Prieto, Joan Cabestany and Manuel Graña (editors), Computational and Ambient Intelligence, 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, pp. 341--350, Springer. Lecture Notes in Computer Science Vol. 4507, San Sebastián, Spain, June 20-22, 2007.
  1052. Ângela Guimarães Pereira, Robert J. Peckham and M. Paula Antunus. GENET: A Method to Generate Alternatives for Facilities Siting using Genetic Algorithms. In Janjaap Harts, Henk F. L. Ottens and Henk J. Scholten, editors, Fourth European Conference and Exhibition on Geographical Information Systems (EGIS'93), pages 973-981, Genoa, Italy, March 29-April 1 1993.
  1053. Ângela Guimarães Pereira. Generating Alternative Routes using Genetic Algorithms and Multi-Criteria Analysis Techniques. In Ray Wyatt and Hemayet Hossain, editors, Fourth International Conference on Computers in Urban Planning and Urban Management), pages 547-560, Melbourne, Australia, July 11-14 1995.
  1054. Frederico G. Guimarães, Elizabeth F. Wanner and Ricardo H.C. Takahashi. A Quality Metric for Multi-objective Optimization Based on Hierarchical Clustering Techniques, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 3292--3299, IEEE Press, Trondheim, Norway, May, 2009.
  1055. S. Gunawan, A. Farhang-Mehr and S. Azarm. Multi-level Multi-objective Genetic Algorithm Using Entropy to Preserve Diversity, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 148--161, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  1056. Michael Guntsch and Martin Middendorf. Solving Multi-criteria Optimization Problems with Population-Based ACO, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 464--478, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  1057. Xiuping Guo, Genke Yang and Zhiming Wu. A Hybrid Self-adjusted Memetic Algorithm for Multi-objective Optimization, in Alexander Gelbukh, Álvaro de Albornoz and Hugo Terashima-Marín (editors), MICAI 2005: Advances in Artificial Intelligence, Springer, pp. 663--672, Lecture Notes in Artificial Intelligence Vol. 3789, Monterrey, México, November 2005.
  1058. Z. X. Guo, W. K. Wong, S. Y. S. Leung, J. T. Fan and S. F. Chan. A Bi-level Genetic Algorithm for Multi-objective Scheduling of Multi- and Mixed-Model Apparel Assembly Lines, in Abdul Sattar and Byeong Ho Kang (editors), AI 2006: Advances in Artificial Intelligence, 19th Australian Joint Conference on Artificial Intelligence, pp. 934-941, Springer. Lecture Notes in Computer Science Vol. 4304, Hobart, Australia, December 4-8 2006.
  1059. Yufeng Guo, Edward C. Keedwell, Godfrey A. Walters and Soon-Thiam Khu. Hybridizing Cellular Automata Principle and NSGAII for Multi-objective Design of Urban Water Networks, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 546--559, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  1060. Yuanping Guo, Xianbin Cao and Jun Zhang. Multiobjective Evolutionary Algorithm with Constraint Handling for Aircraft Landing Scheduling, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3658--3663, IEEE Service Center, Hong Kong, June 2008.
  1061. Weiya Guo, Zhenhua Li, Dan Zhao and Tim Wong. A K-Nearest-Neighbors Pareto Rank Assignment Strategy and Compound Crossover Operator Based NSGA-II and Its Applications on Multi-objective Optimization Functions, in Lishan Kang, Zhihua Cai, Xuesong Yan and Yong Liu (editors), Advances in Computation and Intelligence, Third International Symposium, ISICA 2008, pp. 90--97, Springer. Lecture Notes in Computer Science Vol. 5370, Wuhan, China, December 19-21, 2008.
  1062. Guanqi Guo, Cheng Yin, Taishan Yan and Wenbin Li. Binary Nearest Neighbor Classification of Predicting Pareto Dominance in Multi-objective Optimization, in Ying Tan, Yuhui Shi and Zhen Ji (editors), Advances in Swarm Intelligence, Third International Conference, ICSI 2012, pp. 537--545, Springer. Lecture Notes in Computer Science Vol. 7331, Shenzhen, China, June 17-20, 2012.
  1063. Guanqi Guo, Cheng Yin, Tanshan Yan and Wu Li. Nearest Neighbor Classification of Pareto Dominance in Multi-objective Optimization, in 2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI'2012), pp. 328--331, IEEE Press, Nanjing, China, October 18-20, 2012.
  1064. Himanshu Gupta and Kalyanmoy Deb. Handling Constraints in Robust Multi-Objective Optimization, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 25--32, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  1065. Nitin Gupta and Vivek Kumar Aqrawal. Two-Criterion Optimization in State Assignment for Synchronous Finite State Machines using NSGA-II, in Bernardete Ribeiro, Rudolf F. Albrecht andrej Dobnikar, David W. Pearson and Nigel C. Steele (editors), Adaptive and Natural Computing Algorithms, pp. 214--217, Springer, Coimbra, Portugal, March 2005.
  1066. Walter J. Gutjahr. Two Metaheuristics for Multiobjective Stochastic Combinatorial Optimization, in O.B. Lupanov, O.M. Kasim-Zade, A.V. Chaskin and K. Steinhoefl (editors), Stochastic Algorithms: Foundations and Applications, SAGA 2005, Proceedings, pp. 116--125, Springer. Lecture Notes in Computer Science Vol. 3777, Moscow, Russia, October 2005.
  1067. H. Altay Güvenir. A Genetic Algorithm for Multicriteria Inventory Classification,In D.W. Pearson, N.C. Steele and R.F. Albrecht, editors, Artificial Neural Nets and Genetic Algorithms. Proceedings of the International Conference, pages 6-9, Wien, April 1995. Springer-Verlag.
  1068. H

  1069. O.C.L. Haas, K.J. Burnham and J.A. Mills. Hybrid Optimisation Technique for Radiotherapy Treatment Planning, in Proceedings of the 1998 IEEE International Conference on Control Applications, Vol. 1, pp. 368--372, Trieste, Italy, September 1998.
  1070. Evert Haasdijk, Berend Weel and A.E Eiben. Right on the MONEE. Combining Task- and Environment-Driven Evolution, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 207--214, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  1071. P. Haastrup and Â. Guimarães Pereira. Exploring the Use of Multi-Objective Genetic Algorithms for Reducing Traffic Generated Urban Air and Noise Pollution. In Proceedings of the 5th European Congress on Intelligent and Soft Computing, pages 819-825, Aachen, Germany, September 1997.
  1072. Sascha Häckel, Marco Fischer, David Zechel and Tobias Teich. A Multi-Objective Ant Colony Approach for Pareto-Optimization Using Dynamic Programming, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 33--40, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6 .
  1073. A. Hadi and F. Rashidi. Design of optimal power distribution networks using multiobjective genetic algorithm, KI 2005: Advances in Artificial Intelligence, Springer, pp. 203--215, Lecture Notes in Artificial Intelligence Vol. 3698, 2005.
  1074. David Hadka, Patrick M. Reed and Timothy W. Simpson. Diagnostic assessment of the Borg MOEA for many-objective product family design problems, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 986--995, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1075. Song Yop Hahn. Application of Vector Optimization Employing Modified Genetic Algorithm to Permanent Magnet Motor Design. In Proceedings of the IEEE Conference on Electromagnetic Field Computation, pages 0D1-7, Okayama, Japan, 1996. IEEE Press.
  1076. P. Hajela and J. Yoo. GA Based Fuzzy Optimization for Non-Convex Pareto Surfaces, 2001 Genetic and Evolutionary Computation Conference. Workshop Program, San Francisco, California, pp. 85--90, July 2001.
  1077. Mohammed Hakim Mabed, Malek Rahoual, El-Ghazali Talbi and Clarisse Dhaenens. Using Genetic Algorithms to schedule multicriteria Flow-shop, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.
  1078. Nasreddine Hallam, Peter Blanchfield and Graham Kendall. Handling Diversity in Evolutionary Multiobjective Optimisation, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2233--2240, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.
  1079. Werner Halter and Sanaz Mostaghim. Bilevel Optimization of Multi-Component Chemical Systems Using Particle Swarm Optimization, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 4383--4390, IEEE, Vancouver, BC, Canada, July 2006.
  1080. Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi and Isao Ono. Adaptive weighted aggregation: A multiobjective function optimization framework taking account of spread and evenness of approximate solutions, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 789--794, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1081. Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi and Isao Ono. Adaptive Weighted Aggregation 2: More Scalable AWA for Multiobjective Function Optimization, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2375--2382, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  1082. Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi and Isao Ono. On Scalability of Adaptive Weighted Aggregation for Multiobjective Function Optimization, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 669--678, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  1083. Hatem Hamda, Olga Roudenko and Marc Schoenauer. Multi-Objective Evolutionary Topological Optimum Design, in I.C. Parmee (Editor), Proceedings of the Fifth International Conference on Adaptive Computing Design and Manufacture (ACDM 2002), pp. 121--132, Springer-Verlag, University of Exeter, Devon, UK, April 2002.
  1084. Tarek M. Hamdani, Jin-Myung Won, Adel M. Alimi and Fakhri Karray. Multi-objective Feature Selection with NSGA II, in Bartlomiej Beliczynski andrzej Dzielinski, Marcin Iwanowski and Bernardete Ribeiro (editors), Adaptive and Natural Computing Algorithms, 8th International Conference, ICANNGA 2007, Part I, pp. 240--247, Springer-Verlag. Lecture Notes in Computer Science Vol. 4431, Warsaw, Poland, April 2007.
  1085. Radwan H. A. Hamid, Amr M. A. Amin, Refaat S. Ahmed and Adel A. A. El-Gammal. Optimal Operation of Induction Motors Based on Multi-Objective Particle Swarm Optimization (MOPSO), in The 33rd Annual Conference of the IEEE Industrial Electronics Society, pp. 1079--1084, IEEE, Taipei, Taiwan, November 5-8, 2007.
  1086. Karim Hamza, Juan F. Reyes-Luna and Kazuhiro Saitou. Simultaneous Assembly Planning and Assembly System Design Using Multi-objective Genetic Algorithms, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 2096--2108, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003.
  1087. Karim Hamza and Kazuhiro Saitou. Optimization of Constructive Solid Geometry Via a Tree-Based Multi-objective Genetic Algorithm, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 981--992, Seattle, Washington, USA, June 2004.
  1088. Sang-Il Han, Itsuya Muta, Tsutomu Hoshino and Taketsune Nakamura. Multiobjective Optimal Design of Superconducting Generator Using Genetic Algorithm, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 178--182, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.
  1089. Zhen Xue Han, Leon Xu, Ren Wei, Bo Ping Wang and Tommi Reinikainen. Reliability-Based Design Optimization for Land Grid Array Solder Joints Under Thermo-Mechanical Load, in Proceedings of the 5th International Conference on Thermal and Mechanical Simulation and Experiments in Microelectronics and Microsystems (EuroSimE 2004), IEEE, pp. 219--224, May 2004.
  1090. Lixia Han and Yuping Wang. A Novel Genetic Algorithm for Multi-criteria Minimum Spanning Tree Problem, in Yue Hao et al. (editors), Computational Intelligence and Security.International Conference, CIS 2005, pp. 297--302, Springer, Lecture Notes in Artificial Intelligence Vol. 3801, Xi'an, China, December 2005.
  1091. Lixin Han and Hong Yan. Fuzzy Biclustering for DNA Microarray Data Analysis, in IEEE International Conference on Fuzzy Systems, 2008. (FUZZ-IEEE 2008). (IEEE World Congress on Computational Intelligence), pp. 1132--1138, IEEE Service Center, Hong Kong, June 2008.
  1092. Julia Handl and Joshua Knowles. Evolutionary Multiobjective Clustering, in Xin Yao et al. (editors), Parallel Problem Solving from Nature (PPSN VIII), pp. 1081--1091, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, Berlin, September 2004.
  1093. Julia Handl and Joshua Knowles. Exploiting the Trade-Off---The Benefits of Multiple Objectives in Data Clustering, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 547--560, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1094. Julia Handl and Joshua Knowles. Multiobjective clustering around medoids, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 632--639, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  1095. Julia Handl and Joshua Knowles. Improvements to the scalability of multiobjective clustering, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2372--2379, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.
  1096. Julia Handl and Joshua Knowles. On Semi-Supervised Clustering via Multiobjective Optimization, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1465--1472, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  1097. Julia Handl and Joshua Knowles. Semi-supervised feature selection via multiobjective optimization, in 2006 International Joint Conference on Neural Networks (IJCNN'2006), pp. 6351--6358, IEEE, Vancouver, BC, Canada, July 2006.
  1098. Julia Handl and Joshua Knowles. Clustering Criteria in Multiobjective Data Clustering, in Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia and Mario Pavone (editors), Parallel Problem Solving from Nature - PPSN XII, 12th International Conference, pp. 32--41, Springer. Lecture Notes in Computer Science Vol. 7492, Taormina, Italy, September 1-5, 2012.
  1099. Thomas Hanne. Concepts of a learning objected-oriented problem solver LOOPS. In Proceedings of the 12th International Conference on Multiple Criteria Decision Making, Springer-Verlag, pp. 330--339, 1995.
  1100. Thomas Hanne. A Primal-Dual Multiobjective Evolutionary Algorithm for Approximating the Efficient Set, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3127--3134, IEEE Press, Singapore, September 2007.
  1101. Thomas Hanne, Rolf Dornberger and Lukas Frey. Multiobjective and Preference-Based Decision Support for Rail Crew Rostering, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 990-996, IEEE Press, Trondheim, Norway, May, 2009.
  1102. Michael Pilegaard Hansen. Tabu Search in Multiobjective Optimisation : MOTS. In Proceedings of MCDM'97, Cape Town, South Africa, January 1997.
  1103. Ken Harada, Jun Sakuma and Shigenobu Kobayashi. Local Search for Multiobjective Function Optimization: Pareto Descent Method, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 659--666, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  1104. Ken Harada, Kokolo Ikeda and Shigenobu Kobayashi. Hybridizing of Genetic Algorithm and Local Search in Multiobjective Function Optimization: Recommendation of GA then LS, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 667--674, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  1105. Ken Harada, Jun Sakuma, Isao Ono and Shigenobu Kobayashi. Constraint-Handling Method for Multi-objective Function Optimization: Pareto Descent Repair Operator, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 156--170, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  1106. Ken Harada, Jun Sakuma and Shigenobu Kobayashi. Uniform Sampling of Local Pareto-Optimal Solution Curves by Pareto Path Following and its Applications in Multi-objective GA, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 813--820, Vol. 1, ACM Press, London, UK, July 2007.
  1107. Mark Harman, Kiran Lakhotia and Phil McMinn. A Multi-Objective Approach To Search-Based Test Data Generation, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 1098--1105, Vol. 1, ACM Press, London, UK, July 2007.
  1108. Mark Harman and Laurence Tratt. Pareto Optimal Search Based Refactoring at the Design Level, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 1106--1113, Vol. 1, ACM Press, London, UK, July 2007.
  1109. Mark Harman, Jens Krinke, Jian Ren and Shin Yoo. Search Based Data Sensitivity Analysis Applied to Requirement Engineering, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1681--1688, ACM Press, Montreal, Canada, July 8--12, 2009. ISBN 978-1-60558-325-9.
  1110. Stephen P. Harris and Emmanuel C. Ifeachor. Nonlinear FIR Filter Design by Genetic Algorithm, In 1st Online Conference on Soft Computing, August 1996.
  1111. Irina Harris, Christine Mumford and Mohamed Naim. The Multi-Objective Uncapacitated Facility Location Problem for Green Logistics, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2732--2729, IEEE Press, Trondheim, Norway, May, 2009.
  1112. Irina Harris, Christine L. Mumford and Mohamed M. Naim. An Evolutionary Bi-Objective Approach to the Capacitated Facility Location Problem with Cost and CO2 Emissions, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 697--704, ACM Press, Dublin, Ireland, July 12-16, 2011.
  1113. Kyle Robert Harrison, Andries P. Engelbrecht and Beatrice M. Ombuki-Berman. A Scalability Study of Multi-Objective Particle Swarm Optimizers, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 189--197, IEEE Press, Cancún, México, 20-23 June, 2013.
  1114. John W. Hartmann, Victoria L. Coverstone-Carroll and Steven N. Williams. Optimal Interplanetary Spacecraft Trajectories Via A Pareto Genetic Algorithm. In AAS/AIAA Space Flight Mechanics Meeting, Monterey, California, February 1998. Paper No. AAS-98-202.
  1115. Shigeru Haruyama and Qiangfu Zhao. Designing smaller decision trees using multiple objective optimization based GPs, in 2002 IEEE International Conference on Systems, Man and Cybernetics, Vol. 6, IEEE Press, 6--9 October, 2002, ISBN 0-7803-7437-1.
  1116. Bashar Awwad Shiekh Hasan, John Q. Gan and Qingfu Zhang. Multi-objective evolutionary methods for channel selection in Brain-Computer Interfaces: Some preliminary experimental results, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3339--3344, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1117. Martina Hasenjäger, Bernhard Sendhoff, Toyotaka Sonoda and Toshiyuki Arima. Three Dimensional Evolutionary Aerodynamic Design Optimization with CMA-ES, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 2173--2180, Vol. 2, ACM Press, New York, USA, June 2005.
  1118. Martina Hasenjäger and Bernhard Sendhoff. Crawling Along the Pareto Front: Tales From the Practice, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 174--181, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  1119. Ghada Hassan and Christopher Clack. Multiobjective Robustness for Portfolio Optimization in Volatile Environments, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 1507--1514, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6.
  1120. Ghada Hassan and Christopher D. Clack. Robustness of multiple objective GP stock-picking in unstable financial markets, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1513--1520, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9.
  1121. Toshiharu Hatanaka and Nobuhiko Kondo and Katsuji Uosaki. Multi-Objective Structure Selection for Radial Basis Function Networks Based on Genetic Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 1095--1100, IEEE Press, Canberra, Australia, December 2003.
  1122. Iason Hatzakis and David Wallace. Dynamic Multi-Objective Optimization with Evolutionary Algorithms: A Forward-Looking Approach, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1201--1208, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  1123. Christian Haubelt, Sanaz Mostaghim, Jürgen Teich and Ambrish Tyagi. Solving Hierarchical Optimization Problems Using MOEAs, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 162--176, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  1124. Christian Haubelt, Jürgen Gamenik and Jürgen Teich. Initial Population Construction for Convergence Improvement of MOEAs, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 191--205, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1125. Guoliang He, Naixue Xiong, Athanasios V. Vasilakos, Yuanxiang Li and Zhongzhi Shi. Automated Design of Logic Circuits with a Increasable Evolution Approach, in 11th IEEE International Conference on High Performance Computing and Communications, HPCC 2009, pp. 206--213, IEEE Press, Seoul, South Korea, June 25-27, 2009.
  1126. Zhenan He and Gary G. Yen. An Ensemble Method for Performance Metrics in Multiobjective Evolutionary Algorithms, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1724--1729, IEEE Service Center, New Orleans, Lousiana, USA, 5-8 June, 2011.
  1127. Zhenan He and Gary G. Yen. A new fitness evaluation method based on fuzzy logic in multiobjective evolutionary algorithms, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1510--1517, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1128. Zhenan He and Gary G. Yen. Ranking Many-Objective Evolutionary Algorithms Using Performance Metrics Ensemble, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2480--2487, IEEE Press, Cancún, México, 20-23 June, 2013.
  1129. Mardé Helbig and Andries P. Engelbrecht. Archive Management for Dynamic Multi-objective Optimisation Problems using Vector Evaluated Particle Swarm Optimisation, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2047--2054, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  1130. Mardé Helbig and Andries P. Engelbrecht. Analyses of guide update approaches for vector evaluated particle swarm optimisation on dynamic multi-objective optimisation problems, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 2621--2628, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1131. Mardé Helbig and Andries P. Engelbrecht. Analysing the Performance of Dynamic Multi-objective Optimisation Algorithms, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1531--1539, IEEE Press, Cancún, México, 20-23 June, 2013.
  1132. Mardé Helbig and Andries P. Engelbrecht. Issues with Performance Measures for Dynamic Multi-objective Optimisation, in 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE), pp. 17--24, IEEE Press, Singapore, April 16-19, 2013.
  1133. Wesam Herbawi and Michael Weber. Evolutionary Multiobjective Route Planning in Dynamic Multi-hop Ridesharing, in Peter Merz and Jin-Kao Hao (editors), Evolutionary Computation in Combinatorial Optimization, 11th European Conference, EvoCOP 2011, pp. 84--95, Springer. Lecture Notes in Computer Science Vol. 6622, Torino, Italy, April 27-29, 2011.
  1134. Wesam Herbawi and Michael Weber. Comparison of Multiobjective Evolutionary Algorithms for Solving The Multiobjective Route Planning in Dynamic Multi-hop Ridesharing, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2099--2106, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  1135. Wesam Herbawi and Michael Weber. A genetic local search algorithm for multiobjective time-dependent route planning, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 140--146, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1136. Tim Hendtlass. WoSP: A Multi-Optima Particle Swarm Algorithm, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 727--734, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  1137. Song Hengjie, Miao Chunyan and Shen Zhiqi. Fuzzy Cognitive Map Learning Based on Multi-Objective Particle Swarm Optimization, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 339, Vol. 1, ACM Press, London, UK, July 2007.
  1138. Augusto Hermosilla and Benjamín Barán. Comparación de un sistema de colonias de hormigas y una estrategia evolutiva para un Problema Multiobjetivo de Ruteo de Vehículos con Ventanas de Tiempo, in Mauricio Solar, David Fernández-Baca and Ernesto Cuadros-Vargas (editors), 30ma Conferencia Latinoamericana de Informática (CLEI2004), pp. 379--388, Sociedad Peruana de Computación, September 2004, ISBN 9972-9876-2-0 (In Spanish).
  1139. Arturo Hernández Aguirre, Salvador Botello Rionda, Giovanni Lizárraga Lizárraga and Carlos A. Coello Coello. IS-PAES: A Constraint-Handling Technique Based on Multiobjective Optimization Concepts, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 73--87, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  1140. Arturo Hernández Aguirre, Salvador Botello Rionda, Carlos A. Coello Coello and Giovanni Lizárraga Lizárraga. Use of Multiobjective Optimization Concepts to Handle Constraints in Single-Objective Optimization, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 573--584, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003.
  1141. Alfredo G. Hernández-Díaz, Luis V. Santana-Quintero, Carlos Coello Coello, Rafael Caballero and Julián Molina, A New Proposal for Multi-Objective Optimization using Differential Evolution and Rough Sets Theory, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 675--682, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  1142. Alfredo G. Hernández-Díaz, Carlos A. Coello Coello, Fátima Pérez, Rafael Caballero, Julián Molina and Luis V. Santana-Quintero. Seeding the Initial Population of a Multi-Objective Evolutionary Algorithm using Gradient-Based Information, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 1617--1624, IEEE Service Center, Hong Kong, June 2008.
  1143. Jorge S. Hernández Domínguez and Gregorio Toscano Pulido. A Comparison on the Search of Particle Swarm Optimization and Differential Evolution on Multi-Objective Optimization, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1978--1985, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  1144. Raquel Hernández Gómez and Carlos A. Coello Coello. MOMBI: A New Metaheuristic for Many-Objective Optimization Based on the R2 Indicator, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2488--2495, IEEE Press, Cancún, México, 20-23 June, 2013.
  1145. Juan Arturo Herrera-Ortiz and Itza T. Q. Curiel Cabral. A RankMOEA to Approximate the Pareto Front of a Dynamic Principal-Agent Model, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 785--792, ACM Press, Dublin, Ireland, July 12-16, 2011.
  1146. Alberto Herreros, Enrique Baeyens and José R. Perán. Design of Multiobjective Robust Controllers Using Genetic Algorithms, In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 131-132, Orlando, Florida, July 1999.
  1147. Alberto Herreros, Enrique Baeyens and José R. Perán. MRCD (Multiobjective Robust Controller Design) Genetic Algorithm: Mechanics and Evaluation, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.
  1148. Andreas Herzog, Sebastian Handrich and Christoph Herrmann. Multi-objective parameter estimation of biologically plausible neural networks in different behavior stages, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 793--799, IEEE Press, Trondheim, Norway, May, 2009.
  1149. Jan Hettenhausen, Andrew Lewis, Marcus Randall and Timoleon Kipouros. Interactive Multi-Objective Particle Swarm Optimisation using Decision Space Interaction, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 3411--3418, IEEE Press, Cancún, México, 20-23 June, 2013.
  1150. J. Ignacio Hidalgo, José L. Risco-Martín, David Atienza and Juan Lanchares. Analysis of Multi-Objective Evolutionary Algorithms to Optimize Dynamic Data Types in Embedded Systems, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 1515--1522, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6 .
  1151. James A. Hilder, James Alfred Walker and Andy M. Tyrrell. Optimising Variability Tolerant Standard Cell Libraries, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2273--2280, IEEE Press, Trondheim, Norway, May, 2009.
  1152. James A. Hilder, Nick D. L. Owens, Peter J. Hickey, Stuart N. Cairns, David P. A. Kilgour, Jon Timmis and Andy Tyrrell. Parameter Optimisation in the Receptor Density Algorithm, in Pietro Liò and Giuseppe Nicosia and Thomas Stibor (editors), Artificial Immune Systems, 10th International Conference, ICARIS 2011, pp. 226--239, Springer. Lecture Notes in Computer Science Vol. 6825, Cambridge, UK, July 18-21, 2011.
  1153. Mark Hinchliffe, Mark Willis and Ming Tham. Chemical Process Systems Modelling using Multi-Objective Genetic Programming. In John R. Koza, Wolfgang Banzhaf, Kumar Chellapilla, Kalyanmoy Deb, Marco Dorigo, David B. Fogel, Max H. Garzon, David E. Goldberg, Hitoshi Iba and Rick L. Riolo, editors, Proceedings of the Third Annual Conference on Genetic Programming, pages 134-139, San Mateo, California, July 1998. University of Wisconsin at Madison, Morgan Kaufmann Publishers.
  1154. Jean-Laurent Hippolyte, Christelle Boch, Pascal Chatonnay, Christophe Espanet and Didier Chamagne. A Self-Adaptive Multiagent Evolutionary Algorithm for Electrical Machine Design, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 1250--1255, Vol. 2, ACM Press, London, UK, July 2007.
  1155. Hiroyuki Hirano and Tomohiro Yoshikawa. A Study on Two-Step Search based on PSO to Improve Convergence and Diversity for Many-objective Optimization Problems, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1854--1859, IEEE Press, Cancún, México, 20-23 June, 2013.
  1156. Tomoyuki Hiroyasu, Mitsunori Miki and Shinya Watanabe. Distributed Genetic Algorithms with a New Sharing Approach in Multiobjective Optimization Problems, In 1999 Congress on Evolutionary Computation, pages 69-76, Washington, D.C., July 1999. IEEE Service Center.
  1157. Tomoyuki Hiroyasu, Mitsunori Miki and Shinya Watanabe. Divided Range Genetic Algorithms in Multiobjective Optimization Problems. In Proceedings of International Workshop on Emergent Synthesis, pages 57-66, Kobe, Japan, December 1999.
  1158. Tomoyuki Hiroyasu, Mitsunori Miki and Shinya Watanabe. The New Model of Parallel Genetic Algorithm in Multi-Objective Optimization Problems--Divided Range Multi-Objective Genetic Algorithm--, In 2000 IEEE Congress on Evolutionary Computation, volume 1, pages 333-340, Piscataway, New Jersey, July 2000. IEEE Service Center.
  1159. Tomoyuki Hiroyasu, Mitsunori Miki, Seiichi Nakayama and Yoshiko Hanada. Multi-Objective Optimization of Diesel Engine Emissions and Fuel Economy Using SPEA2+, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 2195--2196, Vol. 2, ACM Press, New York, USA, June 2005.
  1160. Tomoyuki Hiroyasu, Seiichi Nakayama and Mitsunori Miki. Comparison Study of SPEA2+, SPEA2 and NSGA-II in Diesel Engine Emissions and Fuel Economy Problem, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 236--242, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  1161. Tomoyuki Hiroyasu, Kengo Yoshii and Mitsunori Miki. Discussion of Parallel Model of Multi-Objective Genetic Algorithms on Heterogeneous Computational Resources, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 904, Vol. 1, ACM Press, London, UK, July 2007.
  1162. Tomoyuki Hiroyasu, Shinpei Chino and Mitsunori Miki. Flexibility of Design Variables to Pareto-Optimal Solutions in Multi Objective Optimization Problems, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 4462--4468, IEEE Press, Singapore, September 2007.
  1163. Christian Hirsch, Pradyumn Kumar Shukla and Hartmut Schmeck. Variable Preference Modeling Using Multi-Objective Evolutionary Algorithms, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 91--105, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  1164. Shinn-Ying Ho and Xiao-I Chang. An Efficient Generalized Multiobjective Evolutionary Algorithm, In Wolfgang Banzhaf, Jason Daida, Agoston E. Eiben, Max H. Garzon, Vasant Honavar, Mark Jakiela and Robert E. Smith, editors, GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference, volume 1, pages 871--878, Orlando, Florida, USA, 1999. Morgan Kaufmann Publishers .
  1165. S.J. Ho, W.Y. Ku, J.W. Jou, M.H. Hung and S.Y. Ho. Intelligent particle swarm optimization in multi-objective problems, in Advances in Knowledge Discovery and Data Mining, pp. 790--800, Springer. Lecture Notes in Artificial Intelligence Vol. 3918, 2006.
  1166. Nhu Binh Ho and Joc Cing Tay. Using Evolutionary Computation and Local Search for Solving Multi-objective Flexible Job Shop Problems, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 821--828, Vol. 1, ACM Press, London, UK, July 2007.
  1167. Tim Hohm and Daniel Hoffmann. A Multi-Objective Evolutionary Approach to Peptide Structure Redesign and Stabilization, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 423--429, Vol. 1, ACM Press, New York, USA, June 2005.
  1168. Tim Hohm and Eckart Zitzler. Multiobjectivectivization for Parameter Estimation: a Case-Study on the segment Polaruty Network of Drosophila, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 209--216, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .
  1169. Eric M. Holloway, Gary B. Lamont and Gilbert L. Peterson. Network Security Using Self Organized Multi Agent Swarms, in IEEE Symposium on Computational Intelligence in Cyber Security, 2009. (CICS '09), pp. 144--151, IEEE Computer Society, Nashville, TN, USA, March-April 2009.
  1170. Lu Hong. An Adaptive Multi-objective Immune Optimization Algorithm, in International Conference on Control, Automation and Systems Engineering 2009 (IITA'2009), pp. 140--143, IEEE Computer Society, Zhangjiajie, China, July, 2009.
  1171. K. Hongesombut, Y. Mitani, S. Dechanupaprittha, I. Ngamroo, K. Pasupa and J. Tippayachai. Power System Stabilizer Tuning Based on Multiobjective Design Using Hierarchical and Parallel Micro Genetic Algorithm, in International Conference on Power System Technology, 2004 (PowerCon'2004), pp. 402--407, IEEE Computer Society, Singapore, November, 2004.
  1172. Meng Hongyun and Liu Sanyang. ISPEA: Improvement for the Strength Pareto Evolutionary Algorithm for Multiobjective Optimization with Immunity, in Proceedings of the Fifth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'03), pp. 368--372, IEEE Computer Society, September 2003.
  1173. Niels van Hoorn, Julian Togelius, Daan Wierstra and Jürgen Schmidhuber. Robust Player Imitation Using Multiobjective Evolution, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 652--659, IEEE Press, Trondheim, Norway, May 2009.
  1174. Hirosuke Horii, Mitsunori Miki, Takayuki Koizumi and Nobuyoshi Tsujiuchi. Asynchronous Migration of Island Parallel GA for Multi-Objective Optimization Problem, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 86--90, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.
  1175. Jeffrey Horn, Nicholas Nafpliotis and David E. Goldberg. A Niched Pareto Genetic Algorithm for Multiobjective Optimization, In Proceedings of the First IEEE Conference on Evolutionary Computation, IEEE World Congress on Computational Intelligence, volume 1, pages 82-87, Piscataway, New Jersey, June 1994. IEEE Service Center.
  1176. Jeffrey Horn. Niche Distributions on the Pareto Optimal Front, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 365--375, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  1177. Jeffrey Horn and James Cattron. The Paradox of the Plankton: Oscillations and Chaos in Multispecies Evolution, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 298--309, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003.
  1178. Jeffrey Horn. Shape Nesting by Coevolving Species, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 557--558, Vol. 1, ACM Press, New York, USA, June 2005.
  1179. Christian Horoba and Frank Neumann. Benefits and Drawbacks for the Use of ε-Dominance in Evolutionary Multi-Objective Optimization, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 641--648, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6 .
  1180. Christian Horoba. Analysis of a Simple Evolutionary Algorithm for the Multiobjective Shortest Path Problem, in FOGA '09: Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic algorithms, pp. 113--120, ACM, Orlando, Florida, USA, January 2009 .
  1181. Christian Horoba and Frank Neumann. Additive Approximations of Pareto-Optimal Sets by Evolutionary Multi-Objective Algorithms, in FOGA '09: Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic algorithms, pp. 79--86, ACM, Orlando, Florida, USA, January 2009.
  1182. Boye Annfelt Høverstad. On the Effect of Network Modularity on Evolutionary Search, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 3191--3198, IEEE Press, Trondheim, Norway, May, 2009.
  1183. Sheng-Ta Hsieh, Tsung-Ying Sun, Shih-Yuan Chiu, Chan-Cheng Liu and Cheng-Wei Lin. Cluster based solution exploration strategy for multiobjective particle swarm optimization, in V. Devedzic, (editor), Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, pp. 295--300, Int Assoc Sci & Technol Dev, Innsbruck, Austria, February 12-14, 2007.
  1184. Min-Nan Hsieh, Tsung-Che Chiang and Li-Chen Fu. A Hybrid Constraint Handling Mechanism with Differential Evolution for Constrained Multiobjective Optimization, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1785--1792, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  1185. Sheng-Ta Hsieh, Shih-Yuan Chiu and Shi-Jim Yen. Sharing Mutation Genetic Algorithm for Solving Multi-objective Problems, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1833--1839, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  1186. Wei-Huai Hsu and Tsung-Che Chiang. A multiobjective evolutionary algorithm with enhanced reproduction operators for the vehicle routing problem with time windows, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 2629--2636, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1187. Xiabo Sharon Hu, Garrison Greenwood and Joseph G. D'Ambrosio. An Evolutionary Approach to Hardware/Software Partitioning, In Hans-Michael Voigt, Werner Ebeling, Ingo Rechenberg and Hans-puter Science No. 1141, pp. 900--909, September 1996.
  1188. Xiaohui Hu and Russell Eberhart. Multiobjective Optimization Using Dynamic Neighborhood Particle Swarm Optimization, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1677--1681, IEEE Service Center, Piscataway, New Jersey, May 2002.
  1189. Jianjun Hu, Kisung Seo, Shaobo Li, Zhun Fan, Ronald C. Rosenberg and Erik D. Goodman. Structure Fitness Sharing (SFS) for Evolutionary Design by Genetic Programming, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 780--787, Morgan Kaufmann Publishers, San Francisco, California, July 2002.
  1190. Xiaohui Hui, Russell C. Eberhart and Yuhui Shi. Particle Swarm with Extended Memory for Multiobjective Optimization, in 2003 IEEE Swarm Intelligence Symposium Proceedings, IEEE Service Center, pp. 193--197, Indianapolis, Indiana, USA, April 2003.
  1191. Jianjun Hu, Kisung Seo, Zhun Fan, Ronald C. Rosenberg and Erik D. Goodman. HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 1029--1040, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003.
  1192. Xiaolin Hu, Zhangcan Huang and Zhongfan Wang. Hybridization of the Multi-Objective Evolutionary Algorithms and the Gradient-based Algorithms, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 870--877, IEEE Press, Canberra, Australia, December 2003.
  1193. Jianjun Hu and Erik Goodman. Robust and Efficient Genetic Algorithms with Hierarchical Niching and a Sustainable Evolutionary Computation Model, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 1220--1232, Seattle, Washington, USA, June 2004.
  1194. Jianjun Hu and Erik Goodman. Wireless Access Point Configuration by Genetic Programming, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 1178--1184, Portland, Oregon, USA, June 2004.
  1195. Xiaolin Hu, Zhongfan Wang and Lianying Liao. Multi-Objective Optimization of HEV Fuel Economy and Emissions using Evolutionary Computation, in Proceedings of the Society of Automotive Engineering World Congress 2004, Electronics Simulation and Optimization (SP-1856), pp. 117--128, Society of Automotive Engineers, Detroit, Michigan, USA, March 2004.
  1196. X. B. Hu and E. Di Paolo. An Efficient Genetic Algorithm with Uniform Crossover for the Multi-Objective Airport Gate Assignment Problem, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 55--62, IEEE Press, Singapore, September 2007.
  1197. Qingsong Hu, Lihong Xu and Erik D. Goodman. Dynamic multi-objective control of IPMCs propelled robot fish based on NSGA-II, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1927--1928, ACM Press, Montreal, Canada, July 8--12, 2009. ISBN 978-1-60558-325-9 .
  1198. Haigen Hu, Lihong Xu and Qingsong Hu. Model-based Compromise Control of Greenhouse Climate using Pareto Optimization, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 217-222, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6.
  1199. Qingsong Hu, Lihong Xu and Erik Goodman. Non-even Spread NSGA-II and Its Application to Conflicting Multi-Objective Compatible Control, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 223-230, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6.
  1200. Haigen Hu, Lihong Xu, Ruihua Wei and Bingkun Zhu. Multi-objective tuning of nonlinear PID controllers for greenhouse environment using Evolutionary Algorithms, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3397--3402, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1201. Wang Hu and Gary G. Yen. Density Estimation for Selecting Leaders and Mantaining Archive in MOPSO, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 181--188, IEEE Press, Cancún, México, 20-23 June, 2013.
  1202. V. L. Huang, A. K. Qin, P. N. Suganthan and M. F. Tasgetiren. Multi-Objective Optimization Based on Self-Adaptive Differential Evolution Algorithm. in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3601--3608, IEEE Press, Singapore, September 2007.
  1203. V. L. Huang, S. Z. Zhao, R. Mallipeddi and P. N. Suganthan. Multi-Objective Optimization Using Self-Adaptive Differential Evolution Algorithm, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 190--194, IEEE Press, Trondheim, Norway, May 2009.
  1204. Zhibao Huang, Min Xie, Yanhuang Jiang, Haitao Chen and Shaoshuai Wang. A MultiObjective Disaster Recovery Service Deployment Algorithm Based on Improved AntNet-CO, in 2009 Sixth Web Information Systems and Applications Conference, pp. 51--56, IEEE Computer Society Press, Xuzhou, Jiangsu, China, September 18-20, 2009.
  1205. Ting Huang and Jinhua Chen. Multiobjective Optimization in Mineral Resources Exploitation: Models and Case Studies, in Zhihua Cai, Zhenhua Li, Zhuo Kang and Yong Liu (editors), Advances in Computation and Intelligence, 4th International Symposium, ISICA 2009, pp. 309--317, Springer. Lecture Notes in Computer Science Vol. 5821, Huangshi, China, October 23-25, 2009.
  1206. Simon Huband, Phil Hingston, Lyndon White and Luigi Barone. An Evolution Strategy with Probabilistic Mutation for Multi-Objective Optimisation, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 2284--2291, IEEE Press, Canberra, Australia, December 2003.
  1207. Simon Huband, Luigi Barone, Lyndon While and Phil Hingston. A Scalable Multi-objective Test Problem Toolkit, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 280--295, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1208. Simon Huband, Luigi Barone, Philip Hingston, Lyndon While, David Tuppurainen and Richard Bearman. Designing Comminution Circuits with a Multi-Objective Evolutionary Algorithm, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1815--1822, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.
  1209. Simon Huband, R. Lyndon While, David Tuppurainen, Philip Hingston, Luigi Barone and Ted Bearman. Economic Optimisation of an Ore Processing Plant with a Constrained Multi-objective Evolutionary Algorithm, in Abdul Sattar and Byeong Ho Kang (editors), AI 2006: Advances in Artificial Intelligence, 19th Australian Joint Conference on Artificial Intelligence, pp. 962--969, Springer. Lecture Notes in Computer Science Vol. 4304, Hobart, Australia, December 4-8 2006.
  1210. Robert Hubley, Eckart Zitzler andew F. Siegel and Jared Roach. Multiobjective Genetic Marker Selection, in Advances in Nature-Inspired Computation: The PPSN VII Workshops, pp. 32--33, Reading, UK, September 2002.
  1211. Evan J. Hughes. Constraint Handling With Uncertain and Noisy Multi-Objective Evolution, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 963--970, May 2001.
  1212. Evan J. Hughes. Multi-Objective Evolutionary Guidance for Swarms, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1127--1132, IEEE Service Center, Piscataway, New Jersey, May 2002.
  1213. E.J. Hughes, A. Tsourdos and B.A. White. Multiobjective design of a fuzzy controller for a nonlinear missile autopilot, in IEEE International Symposium on Computer Aided Control System Design, pp. 15--20, IEEE, Glasgow, Scotland, September 2002.
  1214. Evan J. Hughes. Multi-objective Binary Search Optimisation, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 102--117, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  1215. Evan J. Hughes, Antonios Tsourdos and Brian A. White. Multi-Objective Fuzzy Design of a Lateral Autopilot For a Quasi-Linear Parameter Varying Missile, in IFAC International Conference on Intelligent Control Systems and Signal Processing (ICONS'03), Faro, Portugal, April 2003.
  1216. Evan J. Hughes. Multiple Single Objective Pareto Sampling, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2678--2684, IEEE Press, Canberra, Australia, December 2003.
  1217. Evan J. Hughes. Swarm Guidance using a Multi-Objective Co-evolutionary On-Line Evolutionary Algorithm, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 2357--2363, Portland, Oregon, USA, June 2004.
  1218. Evan J. Hughes. Evolutionary Many-Objective Optimisation: Many Once or One Many?, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 222--227, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  1219. Evan J. Hughes. Radar Waveform Optimisation as a Many-Objective Application Benchmark, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 700--714, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  1220. Evan J. Hughes. MSOPS-II: A General-Purpose Many-Objective Optimiser, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3944--3951, IEEE Press, Singapore, September 2007.
  1221. Evan J. Hughes. Many-Objective Directed Evolutionary Line Search, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 761--768, ACM Press, Dublin, Ireland, July 12-16, 2011.
  1222. Liu Huideng and Qiu Arui. Space Active Noise Control System Design with Multi-objective Genetic Algorithms, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2186--2192, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  1223. Rachel Hunt, Mark Johnston and Mengjie Zhang. Improving Robustness of Multiple-Objective Genetic Programming for Object Detection, in Dianhui Wang and Mark Reynolds (editors), AI 2011: Advances in Artificial Intelligence, 24th Australasian Joint Conference, pp. 311--320, Springer. Lecture Notes in Computer Science Vol. 7106, Perth, Australia, December 5-8, 2011.
  1224. Andrew Hunter. Using Multiobjective Genetic Programming to Infer Logistic Polynomial Regression Models, in F. van Harmelen (editor), Proceedings of the 15th European Conference on Artificial Intelligence (ECAI'2002), pp. 193--197, IOS Press, Lyon, France, July 2002.
  1225. X.H. Huo, L.C. Shen and H.Y. Zhu. A smart particle swarm optimization algorithm for multi-objective problems, Computational Intelligence and Bioinformatics, Part 3, pp. 72--80, Springer-Verlag, Lecture Notes in Computer Science Vol. 4115, 2006.
  1226. Chih-Li Huo, Shu-Yan Lin, Tzu-Ying Lai, Yean-Shain Lien and Tsung-Ying Sun. Multi-Objective Differential Evolution with Taguchi-based adjustable proportional distribution, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1548--1555, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1227. Phil Husbands. Distributed Coevolutionary Genetic Algorithms for multi-Criteria and Multi-Constraint Optimisation, In T. Fogarty, editor, Evolutionary Computing. ASB Workshop. Selected Papers, Lecture Notes in Computer Science Vol. 865, pages 150-165. Springer Verlag, 1994.
  1228. Talib Hussain, David Montana and Gordon Vidaver. Evolution-Based Deliberative Planning for Cooperating Unmanned Ground Vehicles in a Dynamic Environment, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 1017--1029, Seattle, Washington, USA, June 2004.
  1229. M.I. Hussein, K. Hamza, G.M. Hulbert, R.A. Scott and K. Saitou. Design of Layered Structures with Desired Dispersion Properties Using a Multiobjective Genetic Algorithm, in Proceedings of the Cairo University of Mechanical Design and Production, MDP-8, Cairo University, pp. 41--50, Cairo, Egypt, January 2004.
  1230. Windo Hutabarat, Geoffrey T. Parks, Jerome P. Jarrett, William N. Dawes and P. John Clarkson. Aerodynamic Topology Optimisation Using an Implicit Representation and a Multiobjective Genetic Algorithm, in Nicolas Monmarché, El-Ghazali Talbi, Pierre Collet, Marc Schoenauer, and Evelyne Lutton, (editors), Artificial Evolution. 8th International Conference Evolution Artificielle (EA 2007), pp. 148--159, Springer. Lecture Notes in Computer Science. Vol. 4926, Tours, France, October, 2007.
  1231. K. W. Hutchinson, David S. Todd and Pratyush Sen. An Evolutionary Multiple Objective Strategy for the Optimisation of Made-To-Order Products with special reference to the Conceptual Design of High Speed Mono Hull Roll-On/Roll-Off Passenger Ferries. In Fast Sea Transportation, FAST 98, Freemantle, Australia, November 1998.
  1232. Anke K. Hutzschenreuter, Peter A. N. Bosman and Han La Poutré. Enhanced Hospital Resource Management Using Anticipatory Policies in Online Dynamic Multi-Objective Optimization, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 541--542, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.
  1233. Seok K. Hwang, Kyungmo Koo and Jin S. Lee. Homogeneous Particle Swarm Optimizer for Multi-objective Optimization Problem, in ICGST International Conference on Artificial Intelligence and Machine Learning (AIML-05), pp. 141--147, ICGST, Cairo, Egypt, December 19-21, 2005.
  1234. I

  1235. Ilknur Icke and Andrew Rosenberg Multi-objective Genetic Programming for Visual Analytics, in Sara Silva, James A. Foster, Miguel Nicolau, Penousal Machado and Mario Giacobini (editors), Genetic Programming, 14th European Conference, EuroGP 2011, pp. 322--334, Springer. Lecture Notes in Computer Science Vol. 6621, Torino, Italy, April 27-29, 2011.
  1236. Kenichi Ida, Mitsuo Gen and Yin-Zhen Li. Solving Multiobjective Chance-constrained Solid Transportation Problem by Evolutionary Computation. In 5th European Congress on Intelligent Techniques and Soft Computing EUFIT'97, pages 743-747, Aachen, Germany, September 1997.
  1237. Christian Igel. Multi-objective Model Selection for Support Vector Machines, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 534--546, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1238. Christian Igel, Thorsten Suttorp and Nikolaus Hansen. Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 171--185, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  1239. Beatriz de la Iglesia, Mark S. Philpott, Anthony J. Bagnall and Vic J. Rayward-Smith. Data Mining Using Multi-Objective Evolutionary Algorithms, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1552--1559, IEEE Press, Canberra, Australia, December 2003.
  1240. Beatriz de la Iglesia, Alan Reynolds and Vic J Rayward-Smith. Developments on a Multi-objective Metaheuristic (MOMH) Algorithm for Finding Interesting Sets of Classification Rules, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 826--840, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1241. Yosuke Iijima, Masahiro Murakawa, Yuji Kasai, Eiichi Takahashi and Tetsuya Higuchi. Proposal of Transmission Line Modeling using Multi-Objective Optimization Techniques. In 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 2094-2100, IEEE Press, Singapore, September 2007.
  1242. Hitoshi Iima, Nobuo Sannomiya and Makoto Wakasugi. Genetic Algorithm Approach to Production Ordering Problems with Inconsistent Constraints, in IEEE International Symposium on Industrial Electronics, Vol. 2, pp. 703--708, 1998.
  1243. H. Iima, R. Nakase and N. Sannomiya. Genetic algorithm approach to a multiobjective rescheduling problem in a job shop, in Proceedings of the 1st Multidisciplinary International Conference on Scheduling: Theory and Applications, pp. 422--437, The University of Nottingham, UK, August 2003.
  1244. Hitoshi Iima. Proposition of Selection Operation in a Genetic Algorithm for a Job Shop Rescheduling Problem, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 721--735, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1245. Kokolo Ikeda, Hiromichi Suzuki, Sandor Markon and Hajime Kita. Designing Traffic-Sensitive Controllers for Multi-Car Elevators Through Evolutionary Multi-objective Optimization, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 673--686, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  1246. Ilkka Ikonen, William E. Biles, Anup Kumar, John C. Wissel and Rammohan K. Ragade. Genetic Algorithm for Packing Three-Dimensional Non-Convex Objects Having Cavities and Holes, In Proceedings of the 7th International Conference on Genetic Algortithms, pages 591-598, East Lansing, Michigan, July 1997. Morgan Kaufmann Publishers.
  1247. Simon Illich, Lyndon While and Luigi Barone. Multi-Objective Strip Packing Using an Evolutionary Algorithm, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 4207--4215, IEEE Press, Singapore, September 2007.
  1248. Antony W. Iorio and Xiaodong Li. A Cooperative Coevolutionary Multiobjective Algorithm Using Non-dominated Sorting, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 537--548, Seattle, Washington, USA, June 2004.
  1249. Antony W. Iorio and Xiaodong Li. Solving rotated multi-objective optimization problems using differential evolution, in AI 2004: Advances in Artificial Intelligence, Proceedings, pp. 861--872, Springer-Verlag, Lecture Notes in Artificial Intelligence Vol. 3339, 2004.
  1250. Antony W. Iorio and Xiaodong Li. Rotated Test Problems for Assessing the Performance of Multi-objective Optimization Algorithms, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 683--690, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  1251. Antony W. Iorio and Xiaodong Li. Incorporating Directional Information within a Differential Evolution Algorithm for Multi-objective Optimization, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 691--697, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  1252. M.G. Ippolito, E. Riva Sanseverino and F. Vuinovich. Multiobjective Ant Colony Search Algorithm For Optimal Electrical Distribution System Strategical Planning, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1924--1931, Portland, Oregon, USA, June 2004.
  1253. A. Isaacs, T. Ray and W. Smith. A Hybrid Evolutionary Algorithm With Simplex Local Search. In 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 1701-1708, IEEE Press, Singapore, September 2007.
  1254. Amitay Isaacs, Tapabrata Ray and Warren Smith. An Evolutionary Algorithm with Spatially Distributed Surrogates for Multiobjective Optimization, in Marcus Randall, Hussein A. Abbass and Janet Wiles (editors), Progress in Artificial Life, Third Australian Conference, ACAL 2007, pp. 257--268, Springer. Lecture Notes in Artificial Intelligence Vol. 4828, Gold Coast, Australia, December 4-6, 2007.
  1255. Amitay Isaacs, Tapabrata Ray and Warren Smith. Blessings of Maintaining Infeasible Solutions for Constrained Multi- Objective Optimization Problems, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 2785--2792, IEEE Service Center, Hong Kong, June 2008.
  1256. Amitay Isaacs, Tapabrata Ray and Warren Smith. Memetic Algorithm for Dynamic Bi-objective Optimization Problems, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1707--1713, IEEE Press, Trondheim, Norway, May, 2009.
  1257. P. Isasi, A. Sanchis, J.M. Molina and A. Berlanga. Hierarchical Genetic Algorithms for Composite Laminate Panels Stress Optimisation, in IEEE International Conference on Systems, Man and Cybernetics, Vol. 4, pp. 447--451, 1999.
  1258. Hiroyuki Ishibashi, Hernán E. Aguirre, Kiyoshi Tanaka and Tatsuo Sugimura. Multi-objective Optimization with Improved Genetic Algorithm, in 2000 International Conference on Systems, Man and Cybernetics, Vol. 5, pp. 3852--3857, IEEE Press, 2000.
  1259. Hisao Ishibuchi, Tadahiko Murata and I. B. Tursken. Selecting Linguistic Classification Rules by Two-Objective Genetic Algorithms. In Proceedings of the 1995 IEEE International Conference on Systems, Man and Cybernetics, pages 1410-1415, Vancouver, Canada, October 1995. IEEE.
  1260. Hisao Ishibuchi and Tadahiko Murata. Multi-Objective Genetic Local Search Algorithm. In Toshio Fukuda and Takeshi Furuhashi, editors, Proceedings of the 1996 International Conference on Evolutionary Computation, pages 119-124, Nagoya, Japan, 1996. IEEE.
  1261. Hisao Ishibuchi and Tadahiko Murata. Minimizing the Fuzzy Rule and Maximizing Its Performance by a Multi-Objective Genetic Algorithm, In Proceedings of the 6th International Conference on Fuzzy Systems, pages 259-264, Barcelona, Spain, July 1997.
  1262. Hisao Ishibuchi and Tadahiko Murata. Multi-Objective Genetic Local Search for Minimizing the Number of Fuzzy Rules for Pattern Classification Problems. In Proceedings of the 6th IEEE International Conference on Fuzzy Systems, pages 1100-1105, Alaska, USA, May 1998.
  1263. Hisao Ishibuchi and Tomoharu Nakashima. Evolution of Reference Sets in Nearest Neighbor Classification. In B. McKay, X. Yao, C. S. Newton, J.-H. Kim and T. Furuhashi, editors, Simulated Evolution and Learning. Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL'98, Canberra, Australia, 1998. Lecture Notes in Computer Science 1585, Springer-Verlag.
  1264. Hisao Ishibuchi, Tomoharu Nakashima and Tetsuya Kuroda. A Hybrid Fuzzy GBML Algorithm for Designing Compact Fuzzy Rule-Based Classification Systems. In Proceedings of 9th IEEE International Conference on Fuzzy Systems, pages 706-711, San Antonio, Texas, May 7-10 2000.
  1265. Hisao Ishibuchi, Tomoharu Nakashima and Tetsuya Kuroda. Minimizing the Number of Fuzzy Rules by Fuzzy Genetics-Based Machine Learning for Pattern Classification Problems. In Proceedings of the 8th Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, pages 96-103, Madrid, Spain, July 3-7 2000.
  1266. Hisao Ishibuchi and Tomoharu Nakashima. Linguistic Rule Extraction by Genetics-Based Machine Learning. In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 195--202, San Francisco, California, 2000. Morgan Kaufmann.
  1267. Hisao Ishibuchi and Tomoharu Nakashima. Multi-Objective Pattern and Feature Selection by a Genetic Algorithm. In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 1069-1076, San Francisco, California, 2000. Morgan Kaufmann.
  1268. Hisao Ishibuchi and Tomoharu Nakashima. Three-Objective Optimization in Linguistic Function Approximation, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, IEEE Service Center, Piscataway, New Jersey, pp. 340--347, May 2001.
  1269. Hisao Ishibuchi and Takashi Yamamoto. Fuzzy Rule Selection by Data Mining Criteria and Genetic Algorithms, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 399--406, Morgan Kaufmann Publishers, San Francisco, California, July 2002.
  1270. Hisao Ishibuchi, Tadashi Yoshida and Tadahiko Murata. Balance between Genetic Search and Local Search in Hybrid Evolutionary Multi-Criterion Optimization Algorithms, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 1301--1308, Morgan Kaufmann Publishers, San Francisco, California, July 2002.
  1271. Hisao Ishibuchi, Tadashi Yoshida and Tadahiko Murata. Selection of Initial Solutions for Local Search in Multiobjective Genetic Local Search, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 950--955, IEEE Service Center, Piscataway, New Jersey, May 2002
  1272. Hisao Ishibuchi and Tadashi Yoshida. Implementation of Local Search in Hybrid Multi-Objective Genetic Algorithms: A Case Study on Flowshop Scheduling, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 193--197, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.
  1273. Hisao Ishibuchi and Youhei Shibata. An Empirical Study on the Effect of Mating Restriction on the Search Ability of EMO Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 433--447, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  1274. Hisao Ishibuchi and Takashi Yamamoto. Effects of Three-Objective Genetic Rule Selection on the Generalization Ability of Fuzzy Rule-Based Systems, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 608--622, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  1275. Hisao Ishibuchi and Youhei Shibata. A Similarity-Based Mating Scheme for Evolutionary Multiobjective Optimization, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 1065--1076, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003.
  1276. Hisao Ishibuchi and Takashi Yamamoto. Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 1077--1088, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003.
  1277. Hisao Ishibuchi and Shiori Kaige. Comparison of Multiobjective Memetic Algorithms on 0/1 Knapsack Problems, in Alwyn Barry (editor), 2003 Genetic and Evolutionary Computation Conference. Workshop Program, pp. 222--227, AAAI, Chicago, Illinois, USA, July 2003.
  1278. Hisao Ishibuchi and Shiori Kaige. Effects of Repair Procedures on the Performance of EMO Algorithms for Multiobjective 0/1 Knapsack Problems, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4 pp. 2254--2261, IEEE Press, Canberra, Australia, December 2003.
  1279. Hisao Ishibuchi and Kaname Narukawa. Some Issues on the Implementation of Local Search in Evolutionary Multiobjective Optimization, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 1246--1258, Seattle, Washington, USA, June 2004.
  1280. Hisao Ishibuchi and Youhei Shibata. Mating Scheme for Controlling the Diversity-Convergence Balance for Multiobjective Optimization, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 1259--1271, Seattle, Washington, USA, June 2004.
  1281. Hisao Ishibuchi and Kaname Narukawa. Performance Evaluation of Simple Multiobjective Genetic Local Search Algorithms on Multiobjective 0/1 Knapsack Problems, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 441--448, Portland, Oregon, USA, June 2004.
  1282. Hisao Ishibuchi and Satoshi Namba. Evolutionary Multiobjective Knowledge Extraction for High-Dimensional Pattern Classification Problems, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 1123--1132, Birmingham, UK, September 2004.
  1283. Hisao Ishibuchi and Kaname Narukawa. Recombination of Similar Parents in EMO Algorithms, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 265--279, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1284. Hisao Ishibuchi, Shiori Kaige and Kaname Narukawa. Comparison Between Lamarckian and Baldwinian Repair on Multiobjective 0/1 Knapsack Problems, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 370--385, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1285. Hisao Ishibuchi and Kaname Narukawa. Spatial Implementation of Evolutionary Multiobjective Algorithms with Partial Lamarckian Repair for Multiobjective Knapsack Problems, in Nadia Nedjah, Luiza M. Mourelle, Marley M.B.R. Vellasco, Ajith Abraham and Mario Köppen (editors), Fifth International Conference on Hybrid Intelligent Systems (HIS'05), pp. 265--207, IEEE Computer Society, Los Alamitos, California, USA, November 2005.
  1286. Hisao Ishibuchi and Yusuke Nojima. Performance Evaluation of Evolutionary Multiobjective Approaches to the Design of Fuzzy Rule-Based Ensemble Classifiers, in Nadia Nedjah, Luiza M. Mourelle, Marley M.B.R. Vellasco, Ajith Abraham and Mario Köppen (editors), Fifth International Conference on Hybrid Intelligent Systems (HIS'05), pp. 271--276, IEEE Computer Society, Los Alamitos, California, USA, November 2005.
  1287. Hisao Ishibuchi and Kaname Narukawa. Comparison of Evolutionary Multiobjective Optimization with Reference Solution-Based Single-Objective Approach, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 787--794, Vol. 1, ACM Press, New York, USA, June 2005.
  1288. Hisao Ishibuchi, Kaname Narukawa and Yusuke Nojima. An Empirical Study on the Handling of Overlapping Solutions in Evolutionary Multiobjective Optimization, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 817--824, Vol. 1, ACM Press, New York, USA, June 2005.
  1289. Hisao Ishibuchi, Yusuke Nojima, Kaname Narukawa and Tsutomo Doi. Incorporation of Decision Maker's Preferences into Evolutionary Multiobjective Optimization Algorithms, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 741--742, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  1290. Hisao Ishibuchi, Yusuke Nojima and Isao Kuwajima. Multiobjective Genetic Rule Selection as a Data Mining Postprocessing Procedure, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1591--1592, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  1291. Hisao Ishibuchi, Yusuke Nojima and Tsutomu Doi. Comparison between Single-Objective and Multi-Objective Genetic Algorithms: Performance Comparison and Performance Measures, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3959--3966, IEEE, Vancouver, BC, Canada, July 2006.
  1292. Hisao Ishibuchi, Yusuke Nojima and Isao Kuwajima. Finding simple fuzzy classification systems with high interpretability through multiobjective rule selection, in Knowledge-Based Intelligent Information and Engineering Systems, Pt 2, Proceedings, pp. 86--93, Springer, Lecture Notes in Artificial Intelligence Vol. 4252, 2006.
  1293. Hisao Ishibuchi and Yusuke Nojima. Optimization of Scalarizing Functions Through Evolutionary Multiobjective Optimization, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 51--65, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  1294. Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto and Ken Ohara. Effects of the Use of Non-Geometric Binary Crossover on Evolutionary Multiobjective Optimization, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 829--836, Vol. 1, ACM Press, London, UK, July 2007.
  1295. Hisao Ishibuchi, Isao Kuwajima and Yusuke Nojima. Relation between Pareto-Optimal Fuzzy Rules and Pareto-Optimal Fuzzy Rule Sets, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 42--49, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  1296. Hisao Ishibuchi, Yasuhiro Hitotsuyanagi and Yusuke Nojima. An Empirical Study on the Specification of the Local Search Application Probability in Multiobjective Memetic Algorithms, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 2788--2795, IEEE Press, Singapore, September 2007.
  1297. Hisao Ishibuchi, Noritaka Tsukamoto and Yusuke Nojima. Iterative Approach to Indicator-Based Multiobjective Optimization, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3967--3974, IEEE Press, Singapore, September 2007.
  1298. Hisao Ishibuchi, Noritaka Tsukamoto, Yasuhiro Hitotsuyanagi and Yusuke Nojima. Effectiveness of Scalability Improvement Attempts on the Performance of NSGA-II for Many-Objective Problems, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 649--656, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6 .
  1299. Hisao Ishibuchi, Noritaka Tsukamoto and Yusuke Nojima. Evolutionary many-objective optimization: A short review, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 2424--2431, IEEE Service Center, Hong Kong, June 2008.
  1300. Hisao Ishibuchi, Yasuhiro Hitotsuyanagi and Yusuke Nojima. Scalability of Multiobjective Genetic Local Search to Many-Objective Problems: Knapsack Problem Case Studies, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3587--3594, IEEE Service Center, Hong Kong, June 2008.
  1301. Hisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane and Yusuke Nojima. Hypervolume Approximation Using Achievement Scalarizing Functions for Evolutionary Many-Objective Optimization, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 530--537, IEEE Press, Trondheim, Norway, May 2009.
  1302. Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto and Yusuke Nojima. Single-objective and multi-objective formulations of solution selection for hypervolume maximization, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1831--1832, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .
  1303. Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto and Yusuke Nojima. Effects of Using Two Neighborhood Structures on the Performance of Cellular Evolutionary Algorithms for Many-Objective Optimization, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2508--2515, IEEE Press, Trondheim, Norway, May, 2009.
  1304. Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto and Yusuke Nojima. Simultaneous Use of Different Scalarizing Functions in MOEA/D, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 519--526, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.
  1305. Hisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane and Yusuke Nojima. Indicator-Based Evolutionary Algorithm with Hypervolume Approximation by Achievement Scalarizing Functions, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 527--534, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.
  1306. Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Hiroyuki Ohyanagi and Yusuke Nojima. Effects of the Existence of Highly Correlated Objectives on the Behavior of MOEA/D, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 166--181, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  1307. Hisao Ishibuchi, Naoya Akedo and Yuseke Nojima. A Many-Objective Test Problem for Visually Examining Diversity Maintenance Behavior in a Decision Space, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 649--656, ACM Press, Dublin, Ireland, July 12-16, 2011.
  1308. Hisao Isibuchi, Naoya Akedo, Hiroyuki Ohyanagi and Yusuke Nojima. Behavior of EMO Algorithms on Many-Objective Optimization Problems with Correlated Objectives, in 2011 IEEE Congress on Evolutionary Computation(CEC'2011), pp. 1465--1472, IEEE Service Center, New Orleans, Lousiana, USA, 5-8 June, 2011.
  1309. Hisao Isibuchi, Naoya Akedo, Hiroyuki Ohyanagi, Yasuhiro Hitotsuyanagi and Yusuke Nojima. Many-Objective Test Problems with Multiple Pareto Optimal Regions in a Decision Space, in 2011 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2011), pp. 113--120, IEEE Press, Paris, France, April 11-15, 2011, ISBN 978-1-61284-067-3.
  1310. Hisao Ishibuchi, Masakazu Yamane and Yusuke Nojima. Effects of Discrete Objective Functions with Different Granularities on the Search Behavior of EMO Algorithms, in 2012 Genetic and Evolutionary Computation Conference (GECCO'2012), pp. 481--488, ACM Press, Philadelphia, USA, July 2012, ISBN: 978-1-4503-1177-9.
  1311. Hisao Ishibuchi, Naoya Akedo and Yusuke Nojima. Recombination of Similar Parents in SMS-EMOA on Many-Objective 0/1 Knapsack Problems, in Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia and Mario Pavone (editors), Parallel Problem Solving from Nature - PPSN XII, 12th International Conference, pp. 132--142, Springer. Lecture Notes in Computer Science Vol. 7492, Taormina, Italy, September 1-5, 2012.
  1312. Hisao Ishibuchi, Masakazu Yamane and Yusuke Nojima. Effects of Duplicated Objectives in Many-Objective Optimization Problems on the Search Behavior of Hypervolume-Based Evolutionary Algorithms, in Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2013), pp. 25--32, IEEE Press, Singapore, April 16--19, 2013.
  1313. Hisao Ishibuchi, Yuki Tanigaki, Naoya Akedo and Yusuke Nojima. How to Strike a Balance Between Local Search and Global Search in Multiobjective Memetic Algorithms for Multiobjective 0/1 Kanapsack Problems, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1643--1650, IEEE Press, Cancún, México, 20-23 June, 2013.
  1314. Hisao Ishibuchi, Masakazu Yamane, Naoya Akedo and Yusuke Nojima. Many-Objective and Many-Variable Test Problems for Visual Examination of Multiobjective Search, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1491--1498, IEEE Press, Cancún, México, 20-23 June, 2013.
  1315. Celso Y. Ishida andre B. de Carvalho, Aurora T.R. Pozo, Elizabeth F.G. Goldbarg and Marco C. Goldbarg. Exploring Multi-objective PSO and GRASP-PR for Rule Induction, in Jano van Hemert and Carlos Cotta (editors), Evolutionary Computation in Combinatorial Optimization, 8th European Conference, EvoCOP 2008, pp. 73--84, Springer, Lecture Notes in Computer Science Vol. 4972, Naples, Italy, March 2008.
  1316. Yukari Ishida, Hirotaka Nosato, Eiichi Takahashi, Masahiro Murakawa, Isamu Kajitani, Tatsumi Furuya and Tetsuya Higuchi. Proposal for LDPC Code Design System Using Multi-Objective Optimization and FPGA-Based Emulation, in Gregory S. Hornby, Lukas Sekanina, and Pauline C. Haddow, (editors), Evolvable Systems: From Biology to Hardware. 8th International Conference (ICES'2008), pp. 237--248, Springer. Lecture Notes in Computer Science, Vol. 5216, Prague, Czech Republic, September 21-24, 2008.
  1317. Sk. Minhazul Islam, Saurav Ghosh, Subhrajit Roy, Shizheng Zhao, Ponnuthurai Nagaratnam Suganthan and Swagatam Das. Synthesis and Design of Thinned Planar Concentric Circular Antenna Array - A Multi-objective Approach, in Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das and Suresh Chandra Satapathy (editors), Swarm, Evolutionary, and Memetic Computing, Second International Conference, SEMCCO 2011, pp. 182--190, Springer. Lecture Notes in Computer Science Vol. 7077, Visakhapatnam, Andhra Pradesh, India, December 19-21, 2011.
  1318. Shlomo Israel and Amiram Moshaiov. Bootstrapping Aggregate Fitness Selection with Evolutionary Multi-Objective Optimization, in Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia and Mario Pavone (editors), Parallel Problem Solving from Nature - PPSN XII, 12th International Conference, pp. 52--61, Springer. Lecture Notes in Computer Science Vol. 7492, Taormina, Italy, September 1-5, 2012.
  1319. R. S. H. Istepanian and J. F. Whidborne. Multi-objective design of finite word-length controller structures, In 1999 Congress on Evolutionary Computation, pages 61-68, Washington, D.C., July 1999. IEEE Service Center.
  1320. Y. Itoh, C. Liu and A. Hammad. Optimizing Rehabilitation Plan of Concrete Bridge Decks Using Multi-Objective Genetic Algorithm. In Optimization in Industry, pages 115-120. American Society of Mechanical Engineers, 1997.
  1321. Laura Ivanciu, Gabriel Oltean and Sorin Hintea. Design Illustration of a Symmetric OTA Using Multiobjective Genetic Algorithms, in Andreas König, Andreas Dengel, Knut Hinkelmann, Koichi Kise, Robert J. Howlett and Lakhmi C. Jain (editors), Knowledge-Based and Intelligent Information and Engineering Systems, 15th International Conference, KES 2011, pp. 443--452, Springer. Lecture Notes in Artificial Intelligence Vol. 6883, Kaiserslautern, Germany, September 12-14, 2011.
  1322. Dario Izzo, Luís F. Simões, Marcus Märtens, Guido C.H.E. de Croon, Aurelie Heritier and Chit Hong Yam. Search for a Grand Tour of the Jupiter Galilean Moons, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 1301--1308, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  1323. J

  1324. Julie Jacques, Julien Taillard, David Delerue, Laetitia Jourdan and Clarisse Dhaenens. The Benefits of Using Multi-objectivization for Mining Pittsburgh Partial Classification Rules in Imbalanced and Discrete Data, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 543--550, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  1325. Daniel Jaeggi, Chris Asselin-Miller, Geoff Parks, Timoleon Kipouros, Theo Bell and John Clarkson. Multi-objective Parallel Tabu Search, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 732--741, Birmingham, UK, September 2004.
  1326. Daniel Jaeggi, Geoff Parks, Timoleon Kipouros and John Clarkson. A Multi-objective Tabu Search Algorithm for Constrained Optimisation Problems, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 490--504, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1327. Martin Jähne, Xiaodong Li and Jürgen Branke. Evolutionary algorithms and multi-objectivization for the travelling salesman problem, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 595--602, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .
  1328. W. Jakob, M. Gorges-Schleuter and C. Blume. Application of Genetic Algorithms to task planning and learning. In R. Männer and B. Manderick, editors, Parallel Problem Solving from Nature, 2nd Workshop, Lecture Notes in Computer Science, pages 291-300, Amsterdam, 1992. North-Holland Publishing Company.
  1329. Ahmad Jan, Masahito Yamamoto and Azuma Ohuchi. Evolutionary Algorithms for Nurse Scheduling Problem, In 2000 IEEE Congress on Evolutionary Computation, volume 1, pages 196-203, Piscataway, New Jersey, July 2000. IEEE Service Center.
  1330. S. Janson and D. Merkle. A new multi-objective particle swarm optimization algorithm using clustering applied to automated docking, Hybrid Metaheuristics, Proceedings, Springer, Lecture Notes in Computer Science Vol. 3636, pp. 128--142, 2005.
  1331. Pawel Jarosz and Tadeusz Burczyski. Scalability test of hybrid immune-game IMGAMO algorithm in multiobjective problems, in David Greiner, Blas Galván, Jacques Périaux, Nicolas Gauger, Kyriakos Giannakoglou and Gabriel Winter (Editors), Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2013), pp. 151--154, Universidad de las Palmas de Gran Canaria, , Las Palmas de Gran Canaria, Spain, October 7-9, 2013, ISBN 978-84-616-6249-4.
  1332. C. H. Jarvis, N. Stuart, K. Kelsey and R. H. A. Baker. Towards a Methodology for Selecting a ``characteristic'' Sample from an Existing Database: An Evolutionary Approach. In Third International Conference/Workshop on Integrating GIS and Environmental Modeling, Santa Fe, New Mexico, January 1996. National Center for Geographic Information and Analysis.
  1333. Andrzej Jaszkiewicz. On the computational effectiveness of multiple objective metaheuristics, In Proceedings of the Fourth International Conference on Multi-Objective Programming and Goal Programming MOPGP'00. Theory & Applications, Berlin-Heidelberg, May 29-June 1 2000. Springer-Verlag.
  1334. Andrzej Jaszkiewicz. Evaluation of Multiple Objective Metaheuristics, in Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen and Vincent T'kindt (editors), Metaheuristics for Multiobjective Optimisation, pp. 65--89, Springer. Lecture Notes in Economics and Mathematical Systems Vol. 535, Berlin, 2004.
  1335. Sadaf Naseem Jat and Shengxiang Yang. A Guided Search Non-Dominated Sorting Genetic Algorithm for the Multi-Objective University Course Timetabling Problem, in Peter Merz and Jin-Kao Hao (editors), Evolutionary Computation in Combinatorial Optimization, 11th European Conference, EvoCOP 2011, pp. 1--13, Springer. Lecture Notes in Computer Science Vol. 6622, Torino, Italy, April 27-29, 2011.
  1336. V. Jayaswal, L. Poladian and L. S. Jermiin. Single- and Multi-Objective Phylogenetic Analysis of Primate Evolution Using a Genetic Algorithm, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 4146--4154, IEEE Press, Singapore, September 2007.
  1337. Jaber Jemai, Manel Zekri and Khaled Mellouli. An NSGA-II Algorithm for the Green Vehicle Routing Problem, in Jin-Kao Hao and Martin Middendorf (editors), Evolutionary Computation in Combinatorial Optimization, 12th European Conference, EvoCOP 2012, pp. 37--48, Springer. Lecture Notes in Computer Science Vol. 7245, Málaga, Spain, April 11-13, 2012.
  1338. Lina Jia, Sanyou Zeng, Dong Zhou, Aimin Zhou, Zhengjun Li and Hongyong Jing. Dynamic Multi-objective Differential Evolution for Solving Constrained Optimization Problem, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2649--2654, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  1339. Liping Jia and Yuping Wang. Genetic Algorithm Based on Primal and Dual Theory for Solving Multiobjective Bilevel Linear Programming, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 558--565, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  1340. Adel Jedidi, Alexandre Caminada and Gerd Finke. 2-Objective Optimization of Cells Overlap and Geometry with Evolutionary Algorithms, in Günther R. Raidl et al. (editors), Applications of Evolutionary Computing. Proceedings of Evoworkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART and EvoSTOC, Springer. Lecture Notes in Computer Science, Volume 3005, pp. 130--139, Coimbra, Portugal, April 2004.
  1341. Mikkel T. Jensen. Guiding Single-Objective Optimization Using Multi-objective Methods, in Günther Raidl et al. (editors), Applications of Evolutionary Computing. Evoworkshops 2003: EvoBIO, EvoCOP, EvoIASP, EvoMUSART, EvoROB and EvoSTIM, pp. 199--210, Springer. Lecture Notes in Computer Science Vol. 2611, Essex, UK, April 2003.
  1342. Min Joong Jeong, Takashi Kobayashi and Shinobu Yoshimura. Extraction of Design Characteristics of Multiobjective Optimization--Its Application to Design of Artificial Satellite Heat Pipe, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 561--575, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1343. Shinkyu Jeong and Shigeru Obayashi. Efficient Global Optimization (EGO) for Multi-Objective Problem and Data Mining, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2138--2145, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.
  1344. Shinkyu Jeong, Shoichi Hasegawa, Koji Shimoyama and Shigeru Obayashi. Development and Investigation of Efficient GA/PSO-Hybrid Algorithm Applicable to Real-World Design Optimization, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 777--784, IEEE Press, Trondheim, Norway, May, 2009.
  1345. Håken K. Jevne, Pauline C. Haddow and Alexei A. Gaivoronski. Evolving constrained mean-VaR efficient frontiers, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 2813--2820, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1346. Manoj K. Jha and Avijit Maji. A Multi-Objective Genetic Algorithm for Optimizing Highway Alignments, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 261--266, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  1347. Zhaowang Ji, Anthony Chen and Kitti Subprasom. Finding Multi-Objective Paths in Stochastic Networks: A Simulation-based Genetic Algorithm Approach, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 174--180, Portland, Oregon, USA, June 2004.
  1348. Zhen Ji, Huilian Liao, Yiwei Wang and Q. H. Wu. A Novel Intelligent Particle Optimizer for Global Optimization of Multimodal Functions, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3272--3275, IEEE Press, Singapore, September 2007.
  1349. Shan-Fan Ji, Wu-Xiong Sheng, Zhuo-Wang Jing and Long-Gong Cheng. IMODE: Improving Multi-Objective Differential Evolution Algorithm, in Fourth International Conference on Natural Computation (ICNC'2008), pp. 212--216, IEEE Computer Society, China, October, 2008.
  1350. Shan-Fan Ji, Wu-Xiong Sheng and Zhuo-Wang Jing. The Multi-objective Differential Evolution Algorithm Based on Quick Convex Hull Algorithms, in Fifth International Conference on Natural Computation (ICNC'2009), pp. 469--473, IEEE Computer Society, Tianjian, China, August, 2009.
  1351. Zhengyuan Jia and Lihua Gong. Multi-criteria Human Resource Allocation for Optimization Problems Using Multi-objective Particle Swarm Optimization Algorithm, in 2008 International Conference on Computer Science and Software Engineering, pp. 1187--1190, IEEE Computer Society, Wuhan, China, December, 2008.
  1352. Yi-Min Jiang, Tak K. Young and Kwang-Ting Cheng. VIP-An Input Pattern Generator for Identifying Critical Voltage Drop for Deep Sub-Micron Designs, in Proceedings of the 1999 International Symposium on Low Power Electronics and Design, pp. 156--161, IEEE, 1999.
  1353. Xuan Jiang, Deepti Chafekar and Khaleed Rasheed. Constrained Multi-Objective GA Optimization Using Reduced Models, in Alwyn Barry (editor), 2003 Genetic and Evolutionary Computation Conference. Workshop Program, pp. 174--177, AAAI, Chicago, Illinois, USA, July 2003.
  1354. Hao Jiang, Jin-hua Zheng and liang-jun Chen. Multi-Objective Particle Swarm Optimization Algorithm Based on Enhanced ε-Dominance, in IEEE International Conference on Engineering of Intelligent Systems, 2006, pp. 399--403, IEEE Computer Society Press, Islamabad, Pakistan, April, 2006.
  1355. Jiang Siwei and Cai Zhihua. Enhance the Convergence and Diversity for ε-MOPSO by Uniform Design and Minimum Reduce Hypervolume, in Proceedings of the 2009 International Conference on Artificial Intelligence and Computational Intelligence (AICI'09), pp. 129--133, Vol. 1, IEEE Computer Society, Washington, DC, USA, November 2009.
  1356. Qing Jiang and Jian Li. A Novel Method for finding global best guide for Multiobjective Particle Swarm Optimization, in Q. Luo and M. Zhu (editors), 2009 Third International Symposium on Intelligent Information Technology Application, Vol. 3, pp. 146--150, IEEE Computer Society Press, Nanchang, China,  November 21-22, 2009, ISBN 978-0-7695-3859-4.
  1357. Siwei Jiang and Zhihua Cai. Faster Convergence and Higher Hypervolume for Multi-objective Evolutionary Algorithms by Orthogonal and Uniform Design, in Zhihua Cai, Chengyu Hu, Zhuo Kang and Yong Liu (editors), Advances in Computation and Intelligence, 5th International Symposium, ISICA 2010, pp. 312--328, Springer. Lecture Notes in Computer Science Vol. 6382, Wuhan, China, October 22-24, 2010.
  1358. Siwei Jiang, Jie Zhang and Yew Soon Ong. Asymmetric Pareto-adaptive Scheme for Multiobjective Optimization, in Dianhui Wang and Mark Reynolds (editors), AI 2011: Advances in Artificial Intelligence, 24th Australasian Joint Conference, pp. 351--360, Springer. Lecture Notes in Artificial Intelligence Vol. 7106, Perth, Australia, December 5-8, 2011.
  1359. Licheng Jiao, Maoguo Gong, Ronghua Shang, Haifeng Du and Bin Lu. Clonal Selection with Immune Dominance and Anergy Based Multiobjective Optimization, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 474--489, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1360. Licheng Jiao, Wei Zhang, Ruochen Liu and Fang Liu. A Hybrid Multiobjective Immune Algorithm with Region Preference for Decision Makers, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 300--307, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1361. Fernando Jiménez and José L. Verdegay. Interval multiobjective solid transportation problem via genetic algorithms (IPMU'96), In Proceedings of Information Processing and Management of Uncertainty in Knowledge-Based Systems, pages 787-792, Granada, Spain, 1996.
  1362. Fernando Jiménez and José L. Verdegay. Constrained multiobjective optimization by evolutionary algorithms, In Proceedings of the International ICSC Symposium on Engineering of Intelligent Systems (EIS'98), pages 266-271, University of La Laguna, Tenerife, Spain, 1998.
  1363. Fernando Jiménez, José L. Verdegay and Antonio F. Gómez-Skarmeta. Evolutionary Techniques for Constrained Multiobjective Optimization Problems, In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 115-116, Orlando, Florida, July 1999.
  1364. Fernando Jiménez, Antonio F. Gómez-Skarmeta, Gracia Sánchez and Kalyanmoy Deb. An Evolutionary Algorithm for Constrained Multi-objective Optimization, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1133--1138, IEEE Service Center, Piscataway, New Jersey, May 2002
  1365. Fernando Jiménez, Gracia Sánchez and Antonio F. Gómez-Skarmeta. A Pareto-Evolutionary Approach for Goal and Priority Based Multi-Objective Optimization Problems, in Proceedings of the 6th Joint Conference on Information Sciences (JCIS 2002), 4th International Workshop on Frontiers in Evolutionary Algorithms, pp. 590-593, 2002
  1366. Fernando Jiménez, Gracia Sánchez, Antonio F. Gómez-Skarmeta, H. Roubos and R. Babuska. Fuzzy Modeling with Multi-Objective Neuro-Evolutionary Algorithms, in Proceedings of the 2002 IEEE International Conference on Systems, Man and Cybernetics (SMC'02), IEEE, 2002
  1367. F. Jiménez, G. Sánchez, J. M. Juárez, J. M. Alcaraz and J. F. Sánchez. Fuzzy Classification of Mortality by Infection of Severe Burnt Patients Using Multiobjective Evolutionary Algorithms, in José Mira, José Manuel Ferrández, José R. Álvarez, Félix de la Paz and F. Javier Toledo (editors), Methods and Models in Artificial and Natural Computation, Third International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2009, pp. 447--456, Springer. Lecture Notes in Computer Science Vol. 5601, Santiago de Compostela, Spain, June 22-26, 2009.
  1368. Yaochu Jin, Markus Olhofer and Bernhard Sendhoff. On Evolutionary Optimization with Approximate Fitness Functions, In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 786-793, San Francisco, California, 2000. Morgan Kaufmann.
  1369. Yaochu Jin, Tatsuya Okabe and Bernhard Sendhoff.Dynamic Weighted Aggregation for Evolutionary Multi-Objective Optimization: Why Does It Work and How?, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 1042--1049, Morgan Kaufmann Publishers, San Francisco, California, July 2001.
  1370. Yaouchu Jin, Markus Olhofer and Bernhard Sendhoff. Managing Approximate Models in Evolutionary Aerodynamic Design Optimization, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, IEEE Service Center, Piscataway, New Jersey, pp. 592--599, May 2001.
  1371. Yaochu Jin and Bernhard Sendhoff. Incorporation of Fuzzy Preferences into Evolutionary Multiobjective Optimization, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 683, Morgan Kaufmann Publishers, San Francisco, California, July 2002.
  1372. Yaochu Jin and Bernhard Sendhoff. Incorporation of Fuzzy Preferences into Evolutionary Multiobjective Optimization, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 26--30, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.
  1373. Yaochu Jin and Bernhard Sendhoff. Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 237--251, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  1374. Yaochu Jin and Bernhard Sendhoff. Connectedness, Regularity and the Success of Local Search in Evolutionary Multi-objective Optimization, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1910--1917, IEEE Press, Canberra, Australia, December 2003.
  1375. Huidong Jin and Man-Leung Wong. Adaptive Diversity Maintenance and Convergence Guarantee in Multiobjective Evolutionary Algorithms, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2498--2505, IEEE Press, Canberra, Australia, December 2003.
  1376. Yaochu Jin and Bernhard Sendhoff. Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept, in Günther R. Raidl et al. (editors), Applications of Evolutionary Computing. Proceedings of Evoworkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART and EvoSTOC, Springer. Lecture Notes in Computer Science, Volume 3005, pp. 525--536, Coimbra, Portugal, April 2004.
  1377. Yaochu Jin, Tatsuya Okabe and Bernhard Sendhoff. Neural Network Regularization and Ensembling Using Multi-objective Evolutionary Algorithms, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 1--8, Portland, Oregon, USA, June 2004.
  1378. Yaochu Jin, Bernhard Sendhoff and Edgar Körner. Evolutionary Multi-objective Optimization for Simultaneous Generation of Signal-Type and Symbol-Type Representations, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 752--766, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1379. Yaochu Jin and Bernhard Sendhoff. Alleviating Catastrophic Forgetting via Multi-Objective Learning, in 2006 International Joint Conference on Neural Networks (IJCNN'2006), pp. 6367--6374, IEEE, Vancouver, BC, Canada, July 2006.
  1380. Yaochu Jin, Robin Gruna, Ingo Paenke and Bernhard Sendhoff. Evolutionary Multi-objective Optimization of Robustness and Innovation in Redundant Genetic Representations, in 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2009), pp. 38--45, IEEE Press, Nashville, TN, USA, March 30--April 2, 2009. ISBN 978-1-4244-2764-2.
  1381. Erik C. Johansson and Mats Jägstam. Maintenance Planning Using Simulation-Based Optimization, in Proceedings of the 2010 Spring Simulation Multiconference, SpringSim '10, Society for Computer Simulation International, San Diego, California, USA, April 11, 2010, ISBN 978-1-4503-0069-8.
  1382. Matt D. Johnson, Daniel R. Tauritz and Ralph W. Wilkerson. SNDL-MOEA: Stored Non-Domination Level MOEA, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 837--844, Vol. 1, ACM Press, London, UK, July 2007.
  1383. Jeffrey A. Joines, Deepak Gupta, Mahmut Ali Gokce, Russell E. King and Michael G. Kay, Supply Chain Multi-Objective Simulation Optimization, in E. Yücesan, C.-H. Chen, J.L. Snowdon and J.M. Charnes (eds), Proceedings of the 2002 Winter Simulation Conference, pp. 1306--1314, San Diego, California, December 2002.
  1384. Jeffrey A. Joines, Kristin A. Thoney and Michael G. Kay. Supply chain multi-objective simulation optimization, in A. Genco, A. Gentile and S. Sorce (editors), 4th International Industrial Simulation Conference 2006, pp. 377--383, Eurosis, Palermo, Italy, June 5-7, 2006, ISBN 978-90-77381-26-7.
  1385. Milton Jonathan, Marco Aurélio Cavalcanti Pacheco, Ricardo Salem Zebulum and Marley B.R. Vellasco. Multiobjective Optimization Techniques: A Study of the Energy Minimization Method and Its Application to the Synthesis of Ota Amplifiers, in Proceedings of the Second NASA/DoD Workshop on Evolvable Hardware, pp. 133--140, IEEE Computer Society, 2000.
  1386. Gareth Jones, Robert D. Brown, David E. Clark, Peter Willett and Robert C. Glen. Searching Databases of Two-Dimensional and Three-Dimensional Chemical Structures using Genetic Algorithms. In Stephanie Forrest, editor, Proceedings of the Fifth International Conference on Genetic Algorithms, pages 597-602, San Mateo, California, 1993. Morgan Kaufmann.
  1387. Brian R. Jones, William A. Crossley and Anastasios S. Lyrintzis. Aerodynamic and Aeroacoustic Optimization of Airfoils via a Parallel Genetic Algorithm, In Proceedings of the 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, AIAA-98-4811. AIAA, 1998.
  1388. D. F. Jones, M. Tamiz and S. K. Mirrazavi. Using Genetic Algorithms to Solve Difficult Goal Programs. In Proceedings of the Third International Conference on Multi-Objective Programming and Goal Programming: Theory and Applications (MOPGP'98), Quebec City, Canada, 1998.
  1389. P.M. Jones, A. Tiwari, R. Roy and J. Corbett. Optimisation of the High Efficiency Deep Grinding Process with Fuzzy Fitness Function and Constraints, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 574--581, Portland, Oregon, USA, June 2004.
  1390. Elsa Jordaan, Arthur Kordon, Leo Chiang and Guido Smitsin. Robust Inferential Sensors Based on Ensemble of Predictors Generated by Genetic Programming, in Xin Yao et al. (editors), Parallel Problem Solving from Nature---PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science Vol. 3242, pp. 522--531, Birmingham, UK, September 2004.
  1391. Laetitia Jourdan, David Corne, Dragan Savic and Godfrey Walters. Preliminary Investigation of the `Learnable Evolution Model' for Faster/Better Multiobjective Water Systems Design, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 841--855, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1392. Nicolas Jozefowiez, Frédéric Semet and El-Ghazali Talbi. Parallel and Hybrid Models for Multi-objective Optimization: Application to the Vehicle Routing Problem, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 271--280, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002.
  1393. Xunguang Ju, Xiaogen Shao, Liqing Xiao, Rong Bao, Chengchun Han and Hongzhen Yu. Appling Interval Exclusion Genetic Algorithm to Finding All Global Solutions of Several Variables and Multimodal Function, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 851-854, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6.
  1394. Leonard Judt, Olaf Mersmann and Boris Naujoks. Effect of SMS-EMOA Parameterizations on Hypervolume Decreases, in Youssef Hamadi and Marc Schoenauer (editors), Learning and Intelligent Optimization, 6th International Conference, LION 6, pp. 419--424, Springer. Lecture Notes in Computer Science Vol. 7219, Paris, France, January 16-20, 2012.
  1395. Hosang Jung and F. Frank Chen. Evolutionary Algorithm Based Corrective Process Control System in Glass Melting Process, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 472--485, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  1396. Peter Dueholm Justesen and Rasmus K. Ursem. Preference-Based Multi-Objective Distinct Candidate Optimization, in Bogdan Filipic and Jurij Silc, (editors), Proceedings of the 4th International Conference on Bioinspired Optimization Methods and their Applications (BIOMA 2010), pp. 117--129, Jozef Stefan Institute Press, Ljubljana, Slovenia, May 20-21, 2010.
  1397. Peter Dueholm Justesen and Rasmus K. Ursem. Many-objective Distinct Candidates Optimization using Differential Evolution on centrifugal pump design problems, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3169--3176, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1398. K

  1399. B. Anthony Kadrovach, Steven R. Michaud, Jesse B. Zydallis, Gary B. Lamont, Barry Secrest and David Strong. Extending the Simple Genetic Algorithm into Multi-Objective Problems via Mendelian Pressure, 2001 Genetic and Evolutionary Computation Conference. Workshop Program, San Francisco, California, pp. 181--188, July 2001.
  1400. B. Anthony Kadrovach, Jesse B. Zydallis and Gary B. Lamont. Use of Mendelian Pressure in a Multi-Objective Genetic Algorithm, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 962--967, IEEE Service Center, Piscataway, New Jersey, May 2002
  1401. Ahmed Kafafy, Ahmed Bounekkar and Stéphane Bonnevay. A Hybrid Evolutionary Metaheuristics (HEMH) Applied on 0/1 Multiobjective Knapsack Problems, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 497--504, ACM Press, Dublin, Ireland, July 12-16, 2011.
  1402. Ahmed Kafafy, Ahmed Bounekkar and Stéphane Bonnevay. Hybrid Metaheuristics based on MOEA/D for 0/1 Multiobjective Knapsack Problems: A comparative study, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 3616--3623, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1403. Ahmed Kafafy, Stéphane Bonnevay and Ahmed Bounekkar. A Hybrid Evolutionary Approach Search Strategy Adaptation for Mutiobjective Optimization, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 631--638, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  1404. Shiori Kaige, Tadahiko Murata and Hisao Ishibuchi. Performance evaluation of memetic EMO algorithms using dominance relation-based replacement rules on MOO test problems, in Proceedings of the 2003 IEEE International Conference on Systems, Man and Cybernetics, Vol. 1, pp. 14--19, IEEE Press, 2003.
  1405. Hirotaka Kaji and Hajime Kita. Individual Evaluation Scheduling for Experiment-Based Evolutionary Multi-objective Optimization, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 645--659, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  1406. Hirotaka Kaji and Hajime Kita. Acceleration of Experiment-Based Evolutionary Multi-objective Optimization Using Fitness Estimation, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 818--831, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  1407. Hirotaka Kaji and Hajime Kita. Acceleration of Experiment-Based Evolutionary Multi-objective Optimization of Internal-Combustion Engine Controllers Using Fitness Estimation. In 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 1777-1784, IEEE Press, Singapore, September 2007.
  1408. Hirotaka Kaji, Kokolo Ikeda and Hajime Kita. Acceleration of Parametric Multi-Objective Optimization by an Initialization Technique for Multi-Objective Evolutionary Algorithms, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 2291--2297, IEEE Service Center, Hong Kong, June 2008.
  1409. Hirotaka Kaji, Kokolo Ikeda and Hajime Kita. Uncertainty of Constraint Function in Evolutionary Multi-objective Optimization, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1621--1628, IEEE Press, Trondheim, Norway, May, 2009.
  1410. Hirotaka Kaji, Kokolo Ikeda and Hajime Kita. Avoidance of Constraint Violation for Experiment-Based Evolutionary Multi-objective Optimization, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2756--2763, IEEE Press, Trondheim, Norway, May 2009.
  1411. Raffi Kamalian, Hideyuki Takagi and Alice M. Agogino. Optimized Design of MEMS by Evolutionary Multi-objective Optimization with Interactive Evolutionary Computation, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 1030--1041, Seattle, Washington, USA, June 2004.
  1412. George D. Kanellis, Anti J. Oksanen, Kyriakos C. Giannakoglou and Matti M. Ylitalo. Combination of CFD Optimization algorithms in minimizing BFB Boiler's emissions, in David Greiner, Blas Galván, Jacques Périaux, Nicolas Gauger, Kyriakos Giannakoglou and Gabriel Winter (Editors), Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2013), pp. 208--210, Universidad de las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain, October 7-9, 2013, ISBN 978-84-616-6249-4.
  1413. Jiro Kamiura, Tomoyuki Hiroyasu, Mitsunori Miki and Shinya Watanabe. MOGADES: Multi-Objective Genetic Algorithm with Distributed Environment Scheme, in Computational Intelligence and Applications (Proceedings of the Second International Workshop on Intelligent Systems Design and Applications: ISDA'02), pp. 143--148, 2002.
  1414. Masahiro Kanazaki, Masashi Morikaw, Shigeru Obayashi and Kazuhiro Nakahashi. Multiobjective Design Optimization of Merging Configuration for an Exhaust Manifold of a Car Engine, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 281--287, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002.
  1415. Zhuo Kang, Lishan Kang, Changhe Li, Yuping Chen and Minzhong Liu. Convergence Properties of E-Optimality Algorithms for Many Objective Optimization Problems, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 472--476, IEEE Service Center, Hong Kong, June 2008.
  1416. Hitoshi Kanoh and Kenta Hara. Hybrid Genetic Algorithm for Dynamic Multi-objective Route Planning with Predicted Traffic in a Real-World Road Network, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 657--664, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6.
  1417. Siwadol Kanyakam and Sujin Bureerat. Passive Vibration Suppression of a Walking Tractor Handlebar Structure Using Multiobjective PBIL, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 4162--4169, IEEE Press, Singapore, September 2007.
  1418. Marios K. Karakasis and Kyriakos C. Giannakoglou. Metamodel-Assisted Multi-Objective Evolutionary Optimization, in R. Schilling, W. Haase, J. Periaux, H. Baier and G. Bugeda (editors), EUROGEN 2005. Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems, Munich, Germany, 2005.
  1419. Naoya Karatsu, Yuichi Nagata, Isao Ono and Shigenobu Kobayashi. Globally multimodal function optimization by Real-Coded Genetic Algorithms using traps, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 2726--2733, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1420. Hossein Karshenas, Roberto Santana, Concha Bielza and Pedro Larrañaga. Multi-objective Optimization with Joint Probabilistic Modeling of Objectives and Variables, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 298--312, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  1421. Kosuke Kato and Masatoshi Sakawa. Genetic Algorithms with Decomposition Procedures for Fuzzy Multiobjective 0-1 Programming Problems with Block Angular Structure, in Proceedings of the 1996 International Conference on Evolutionary Computation (ICEC'96), pages 706--709, 1996.
  1422. Kosuke Kato and Masatoshi Sakawa. Interactive Decision Making for Multiobjective Block Angular 0-1 Programming Problems with Fuzzy Parameters Through Genetic Algorithms with Decomposition Procedures. In Proceedings of the Sixth IEEE Conference on Fuzzy Systems, pages 1645--1650, 1997.
  1423. Kosuke Kato and Masatoshi Sakawa. Large scale fuzzy multiobjective 0-1 programs through genetic algorithms with decomposition procedures, in L.C. Jain and R.K. Jain (Editors), Second International Conference on Knowledge-Based Intelligent Electronic Systems, pp. 278--284, IEEE, Adelaide, Australia, 1998.
  1424. Kosuke Kato and Masatoshi Sakawa. Interactive fuzzy programming based on a probability maximization model using genetic algorithms for two-level integer programming problems involving random variable coefficients, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 77--84, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  1425. Yuji Katsumata and Takao Terano. Bayesian Optimization Algorithm for Multi-Objective Solutions:Application to Electric Equipment Configuration Problems in a Power Plant, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 1101--1107, IEEE Press, Canberra, Australia, December 2003.
  1426. Paul Kaufmann and Marco Platzner. MOVES: A Modular Framework for Hardware Evolution, in Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007), pp. 447--454, IEEE Computer Society, Scotland, United Kingdom, August 2007.
  1427. Paul Kaufmann, Tobias Knieper and Marco Platzner. A Novel Hybrid Evolutionary Strategy and its Periodization with Multi-objective Genetic Optimizers, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 541--548, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1428. T. Kawabe and T. Tagami. A New Genetic Algorithm using Pareto Partitioning Method for Robust Partial Model Matching PID Design with Two Degrees of Freedom. In Proceedings of the Third International ICSC (International Computer Science Conventions) Symposia on Intelligent Industrial Automation (IIA'99) and Soft Computing (SOCO'99), pages 562-567, Genova, 1999.
  1429. Hiroshi Kawamura. Fuzzy Multi-Objective and Multistage Optimization--An Application of Fuzzy Theory to Artificial Life, in International Joint Conference of the Fourth IEEE International Symposium on Fuzzy Systems and the Second International Fuzzy Engineering Symposium, Vol. 2, pp. 701--708, IEEE, 1995.
  1430. A. Kaylani, M. Georgiopoulos, M. Mollaghasemi and G. C. Anagnostopoulos. MO-GART: Multiobjective Genetic ART Architecture, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 1425--1432, IEEE Service Center, Hong Kong, June 2008.
  1431. Edward Keedwell and Soon-Thiam Khu. Hybrid Genetic Algorithms for Multi-objective Optimisation of Water Distribution Networks, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 1030--1041, Seattle, Washington, USA, June 2004.
  1432. Ed Keedwell and Ajit Narayanan. Gene Finding and Rule Discovery With a Multi-Objective Neural-Genetic Hybrid, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 428, Vol. 1, ACM Press, London, UK, July 2007.
  1433. Nattavut Keerativuttiumrong, Nachol Chaiyaratana and Vara Varavithya. Multi-objective Co-operative Co-evolutionary Genetic Algorithm, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 288--297, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002.
  1434. Yacine Kessaci, Nouredine Melab and El-Ghazali Talbi. A Pareto-based Genetic Algorithm for Optimized Assignment of VM Requests on a Cloud Brokering Environment, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2496--2503, IEEE Press, Cancún, México, 20-23 June, 2013.
  1435. Mohammed Khabzaoui, Clarisse Dhaenens and El-Ghazali Talbi. A Multicriteria Genetic Algorithm to analyze DNA microarray data, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1874--1881, Portland, Oregon, USA, June 2004.
  1436. S. Khajehpour and D.E. Grierson. Conceptual Design using Adaptive Computing, 2001 Genetic and Computation Conference. Workshop Program, San Francisco, California, pp. 62--67, July 2001.
  1437. Nazan Khan, David E. Goldberg and Martin Pelikan. Multi-Objective Bayesian Optimization Algorithm, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 684, Morgan Kaufmann Publishers, San Francisco, California, July 2002.
  1438. Junaid A. Khan, Sadiq M. Sait and Mahmood R. Minhas. Fuzzy Bialess Simulated Evolution for Multiobjective VLSI Placement, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1642--1647, IEEE Service Center, Piscataway, New Jersey, May 2002.
  1439. Salman A. Khan and Andries P. Engelbrecht. A Fuzzy Ant Colony Optimization Algorithm for Topology Design of Distributed Local Area Networks, in IEEE Swarm Intelligence Symposium 2008, IEEE Press, St. Louis, Missouri, USA, September 2008.
  1440. Salman A. Khan and Andries P. Engelbrecht. Application of Ordered Weighted Averaging and Unified And-Or Operators to Multi-objective Particle Swarm Optimization Algorithm, in Sixth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD '09), pp. 176--180, IEEE Computer Society, Tianjin, China, August, 2009.
  1441. V. Khare, X. Yao and K. Deb. Performance Scaling of Multi-objective Evolutionary Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 376--390, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  1442. Wael Khatib and Peter J. Fleming. An Introduction to Evolutionary Computing for Multidisciplinary Optimization. In Genetic Algorithms in Engineering Systems: Innovations and Applications, pp. 7--12. IEE, 1997.
  1443. E.F. Khor, K.C. Tan, M.L. Wang and T.H. Lee. Evolutionary Algorithm with Dynamic Population Size for Multi-Objective Optimization, 26th Annual Conference of the IEEE Industrial Electronics Society, Vol. 3, pp. 1686--1691, IEEE, 2000.
  1444. E.F. Khor, K.C. Tan and T.H. Lee. Multi-Objective Evolutionary Algorithm with Non-Stationary Search Space, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, IEEE Service Center, Piscataway, New Jersey, pp. 527--535, May 2001.
  1445. Taghi M. Khoshgoftaar and Yi Liu and Naeem Seliya. Genetic Programming-Based Decision Trees for Software Quality Classification, in Proceedings of the Fifteenth International Conference on Tools with Artificial Intelligence (ICTAI 03), pp. 374--383, IEEE Computer Society, Los Alamitos, California, November 2003.
  1446. Rafal Kicinger, Shigeru Obayashi and Tomasz Arciszewski. Evolutionary Multiobjective Optimization of Steel Structural Systems in Tall Buildings, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 604--618, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  1447. Y.-J. Kim and J. Ghaboussi. A New Genetic Algorithm Based Control Method Using State Space Reconstruction. In Proceedings of the Second World Conference on Struc. Control, pages 2007-2014, Kyoto, Japan, 1998.
  1448. Y.S. Kim, W.N. Street and F. Menczer. Feature Selection in Unsupervised Learning via Evolutionary Search ,In Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2000.
  1449. YongSeong Kim, W. Nick Street and Filippo Menczer. An Evolutionary Multi-Objective Local Selection Algorithm for Customer Targeting, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 759--766, May 2001.
  1450. B. Kim, E. S. Gel, W. M. Carlyle and J. W. Fowler. A new technique to compare algorithms for bi-criteria combinatorial optimization problems, in Multiple Criteria Decision Making In The New Millennium, pp. 113-123, Springer. Lecture Notes In Economics And Mathematical Systems. Vol. 507, 2001.
  1451. Yunyoung Kim, Koji Gotoh, Masahiro Toyosada and Jewoong Park. Micro-Genetic Algorithms(μGAs) for Hard Combinatorial Optimisation Problems, in The 12th International Offshore and Polar Engineering Conference 2002. (ISOPE 2002), pp. 230--236, International Society of Offshore and Polar Engineers, Kitakyushu, Japan, May 26-31 2002.
  1452. Dongmin Kim, Soo-Yong Shin, In-Hee Lee and Byoung-Tak Zhang. NACST/Seq: A Sequence Design System with Multiobjective Optimization, in Masami Hagiya and Azuma Ohuchi (Editors), DNA Computing, 8th International Workshop on DNA Based Computers (DNA8), pp. 242--251, Springer, Lecture Notes in Computer Science. Volume 2568, Sapporo, Japan, 2003.
  1453. DaeEun Kim. Structural Risk Minimization on Decision Trees Using an Evolutionary Multiobjective Optimization, in Maarten Keijzer, Una-May O'Reilly, Simon M. Lucas, Ernesto Costa and Terence Soule (editors), Genetic Programming. 7th European Conference, EuroGP 2004, Springer, Lecture Notes in Computer Science Vol. 3003, pp. 338--348, Coimbra, Portugal, April 2004.
  1454. Mifa Kim, Tomoyuki Hiroyasu, Mitsunori Miki and Shinya Watanabe. SPEA2+: Improving the Performance of the Strength Pareto Evolutionary Algorithm 2, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 742--751, Birmingham, UK, September 2004.
  1455. S. Kim and H.S. Chung. Multiobjective optimization using adjoint gradient enhanced approximation models for genetic algorithms, Computational Science and Its Applications---ICCSA 2006, Part 5, Springer-Verlag, pp. 491--502, Lecture Notes in Computer Science Vol. 3984, 2006.
  1456. Yehoon Kim, Jong-Hwan Kim and Kuk-Hyun Han. Quantum-inspired Multiobjective Evolutionary Algorithm for Multiobjective 0/1 Knapsack Problems, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 9151--9156, IEEE, Vancouver, BC, Canada, July 2006.
  1457. DaeEun Kim. A Quantitative Analysis of Memory Requirement and Generalization Performance for Robotic Tasks, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 285--292, Vol. 1, ACM Press, London, UK, July 2007.
  1458. Ye-Hoon Kim and Jong-Hwan Kim. Multiobjective Quantum-inspired Evolutionary Algorithm for Fuzzy Path Planning of Mobile Robot, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1185--1192, IEEE Press, Trondheim, Norway, May, 2009.
  1459. Keehyung Kim, R. I. (Bob) McKay and Byung-Ro Moon. Multiobjective Evolutionary Algorithms for Dynamic Social Network Clustering, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 1179--1186, ACM Press, Portland, Oregon, USA, July 7--11, 2010. ISBN 978-1-4503-0072-8.
  1460. DaeEun Kim. Evolutionary Multiobjective Optimization for Memory-Encoding Controllers in the Artificial Ant Problem, in 2011 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2011), pp. 73--80, IEEE Press, Paris, France, April 11-15, 2011, ISBN 978-1-61284-067-3.
  1461. Steven O. Kimbrough and Ann Kuo. On Heuristics for Two-Sided Matching: Revisiting the Stable Marriage Problem as a Multiobjective Problem, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 1283--1290, ACM Press, Portland, Oregon, USA, July 7--11, 2010. ISBN 978-1-4503-0072-8.
  1462. Shuhei Kimura and Koki Matsumura. Constrained Multimodal Function Optimization using a Simple Evolutionary Algorithm, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 447--454, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  1463. Robert T.F. Ah King and Harry C.S. Rughooputh. Elitist Multiobjective Evolutionary Algorithm for Environmental/Economic Dispatch, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 1108--1114, IEEE Press, Canberra, Australia, December 2003.
  1464. Robert T.F. Ah King, Harry C.S. Rughooputh and Kalyanmoy Deb. Evolutionary Multi-objective Environmental/Economic Dispatch: Stochastic Versus Deterministic Approaches, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 677--691, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1465. Robert T. F. Ah King, Harry C.S. Rughhooputh and Kalyanmoy Deb. Stochastic Evolutionary Multiobjective Environmental/Economic Dispatch, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3369--3376, IEEE, Vancouver, BC, Canada, July 2006.
  1466. Yuichiro Kinoshita and Heisuke Yokokishizawa. A Tour Route Planning Support System with Consideration of the Preferences of Group Members, in IEEE International Conference on Systems, Man and Cybernetics, 2008. (SMC'2008), pp. 150-155, IEEE Computer Society, Singapore, October, 2008.
  1467. T. Kipouros, G.T. Parks, A.M. Savill and D.M. Jaeggi. Multi-objective Aerodynamic Design Optimisation, in K.C. Giannakoglou and W. Haase (editors), ERCOF-TAC Design Optimization: Methods and Applications Conference Proceedings. On CD Rom, Paper ERCODO2004_239, 2004.
  1468. Timoleon Kipouros, Daniel Jaeggi, Bill Dawes, Geoff Parks and Mark Savill. Multi-objective Optimisation of Turbomachinery Blades Using Tabu Search, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 897--910, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1469. Travis Kirke, Lyndon While and Graham Kendall. Multi-drop Container Loading using a Multi-objective Evolutionary Algorithm, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 165--172, IEEE Press, Cancún, México, 20-23 June, 2013.
  1470. Michael Kirley. MEA: A metapopulation evolutionary algorithm for multi-objective optimisation problems, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 949--956, May 2001.
  1471. Michael Kirley and Robert Stewart. Multiobjective Evolutionary Algorithms on Complex Networks, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 81--95, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  1472. Michael Kirley and Robert Stewart. An Analysis of the Effects of Population Structure on Scalable Multiobjective Optimization Problems, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 845--852, Vol. 1, ACM Press, London, UK, July 2007.
  1473. Marek Kisiel-Dorohinicki and Krzysztof Socha. >Crowding Factor in Evolutionary Multi-Agent System for Multiobjective Optimization, in Hamid R. Arabnia (editor), Proceedings of the International Conference on Artificial Intelligence (IC-AI'2001), pp. 695--700, CSREA Press, 2001.
  1474. Marek Kisiel-Dorohinicki, Grzegorz Dobrowolski and Edward Nawarecki. Evolutionary multi-agent system in multiobjective optimisation, in M.~Hamza (editor), Proceedings of the IASTED International Symposium on Applied Informatics (AI'2001), pp. 360--365, IASTED/ACTA Press, 2001.
  1475. Hajime Kita, Yasuyuki Yabumoto, Naoki Mori and Yoshikazu Nishikawa. Multi-Objective Optimization by Means of the Thermodynamical Genetic Algorithm. In Hans-Michael Voigt, Werner Ebeling, Ingo Rechenberg and Hans-Paul Schwefel, editors, Parallel Problem Solving from Nature--PPSN IV, Lecture Notes in Computer Science, pages 504-512, Berlin, Germany, September 1996. Springer-Verlag.
  1476. Takanori Kiyota, Yasutaka Tsuji and Eiji Kondo. New Multiobjective Fuzzy Optimization Method and Its Application, in Proceedings of the 2000 American Control Conference, Vol. 6, pp. 4224--4228, Chicago, Illinois, IEEE, June 2000.
  1477. Mark P. Kleeman, Richard O. Day and Gary B. Lamont. Analysis of a Parallel MOEA Solving the Multi-objective Quadratic Assignment Problem, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 402--403, Seattle, Washington, USA, June 2004.
  1478. Mark P. Kleeman, Richard O. Day and Gary B. Lamont. Multi-Objective Evolutionary Search Performance with Explicit Building-Block Sizes for NPC Problems, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 728--735, Portland, Oregon, USA, June 2004.
  1479. Mark P. Kleeman and Gary B. Lamont. Solving the Aircraft Engine Maintenance Scheduling Problem Using a Multi-objective Evolutionary Algorithm, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 782--796, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1480. Mark P. Kleeman and Gary B. Lamont. The Multi-Objective Constrained Assignment Problem, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 743--744, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  1481. Mark P. Kleeman and Gary B. Lamont. Coevolutionary Multi-Objective EAs: The Next Frontier?, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 6190--6199, IEEE, Vancouver, BC, Canada, July 2006.
  1482. Mark P. Kleeman, Gary B. Lamont, Adam Cooney and Thomas R. Nelson. A Multi-tiered Memetic Multiobjective Evolutionary Algorithm for the Design of Quantum Cascade Lasers, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 186--200, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  1483. Mark P. Kleeman, Gary B. Lamont, Kenneth M. Hopkinson and Scott R. Graham. Solving Multicommodity Capacitated Network Design Problems using a Multiobjective Evolutionary Algorithm, in IEEE Symposium on Computational Intelligence in Security and Defense Applications (CISDA 2007), pp. 33--41, IEEE Press, April 2007.
  1484. Mark P. Kleeman, Gary B. Lamont, Kenneth M. Hopkinson and Scott R. Graham. Multiobjective Evolutionary Algorithms for Designing Capacitated Network Centric Communications, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 905, Vol. 1, ACM Press, London, UK, July 2007.
  1485. Mark R. Knarr, Mark N. Goltz, Gary B. Lamont and Junqi Huang. In Situ Bioremediation of Perchlorate-Contaminated Groundwater using a Multi-Objective Parallel Evolutionary Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1604--1611, IEEE Press, Canberra, Australia, December 2003.
  1486. Joshua D. Knowles and David W. Corne. The Pareto Archived Evolution Strategy: A New Baseline Algorithm for Multiobjective Optimisation, In 1999 Congress on Evolutionary Computation, pages 98-105, Washington, D.C., July 1999. IEEE Service Center.
  1487. Joshua D. Knowles and David W. Corne. Assessing the Performance of the Pareto Archived Evolution Strategy, In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 123-124, Orlando, Florida, July 1999.
  1488. J. D. Knowles and D. W. Corne. Local Search, Multiobjective Optimization and the Pareto Archived Evolution Strategy, In B. et al. McKay, editor, Proceedings of Third Australia-Japan Joint Workshop on Intelligent and Evolutionary Systems, pages 209-216, Ashikaga, Japan, November 1999. Ashikaga Institute of Technology.
  1489. Joshua Knowles and David Corne. M-PAES: A Memetic Algorithm for Multiobjective Optimization,In 2000 IEEE Congress on Evolutionary Computation, vol. 1, pages 325-332, Piscataway, New Jersey, July 2000. IEEE Service Center.
  1490. Joshua D. Knowles and David W. Corne. A Comparison of Diverse Approaches to Memetic Multiobjective Combinatorial Optimization,In Proceedings of the 2000 Genetic and Evolutionary Computation Conference Workshop Program, pages 103-108, Las Vegas, Nevada, July 2000.
  1491. Joshua D. Knowles, David W. Corne and Martin J. Oates. On the Assessment of Multiobjective Approaches to the Adaptive Distributed Database Management Problem, In Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, Xin Yao, Evelyne Lutton, J. J. Merelo and Hans-Paul Schwefel (editors), Proceedings of the Sixth International Conference on Parallel Problem Solving from Nature (PPSN VI), pages 869-878, Berlin, September 2000. Springer.
  1492. Joshua D. Knowles, David W. Corne and Martin J. Oates. The Pareto-Envelope based Selection Algorithm for Multiobjective Optimization, In Proceedings of the Sixth International Conference on Parallel Problem Solving from Nature (PPSN VI), pages 839-848, Berlin, September 2000. Springer.
  1493. Joshua D. Knowles and David W. Corne. Benchmark Problem Generators and Results for the Multiobjective Degree-Constrained Minimum Spanning Tree Problem, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 424--431, Morgan Kaufmann Publishers, San Francisco, California, July 2001.
  1494. Joshua D. Knowles and David W. Corne. A Comparative Assessment of Memetic, Evolutionary and Constructive Algorithms for the Multiobjective d-MST Problem, 2001 Genetic and Evolutionary Computation Conference. Workshop Program, San Francisco, California, pp. 162--167, July 2001.
  1495. Joshua D. Knowles and David W. Corne. A Comparison of Encodings and Algorithms for Multiobjective Minimum Spanning Tree Problems, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, IEEE Service Center, Piscataway, New Jersey, pp. 544--551, May 2001.
  1496. Joshua Knowles and David Corne. On Metrics for Comparing Nondominated Sets, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 711--716, IEEE Service Center, Piscataway, New Jersey, May 2002.
  1497. Joshua D. Knowles and David W. Corne. Towards landscape analyses to inform the design of a hybrid local search for the multiobjective quadratic assignment problem, In A. Abraham, J. Ruiz-del-Solar, M. Köppen (eds.), Soft Computing Systems: Design, Management and Applications, IOS Press, Amsterdam, pp. 271--279, ISBN 1-58603-297-6, 2002.
  1498. Joshua Knowles and David Corne. Instance Generators and Test Suites for the Multiobjective Quadratic Assignment Problem, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 295--310, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  1499. Joshua D. Knowles, David W. Corne and Mark Fleischer. Bounded Archiving using the Lebesgue Measure, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2490--2497, IEEE Press, Canberra, Australia, December 2003.
  1500. Joshua Knowles and David Corne. Bounded Pareto Archiving: Theory and Practice, in Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen and Vincent T'kindt (editors), Metaheuristics for Multiobjective Optimisation, pp. 39--64, Springer. Lecture Notes in Economics and Mathematical Systems Vol. 535, Berlin, 2004.
  1501. Joshua Knowles and Evan J. Hughes. Multiobjective Optimization on a Budget of 250 Evaluations, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 176--190, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1502. Joshua Knowles. A summary-attainment-surface plotting method for visualizing the performance of stochastic multiobjective optimizers, in Fifth International Conference on Intelligent Systems Design and Applications (ISDA'2005), pp. 552--557, 2005.
  1503. Joshua Knowles and David Corne. Quantifying the Effects of Objective Space Dimension in Evolutionary Multiobjective Optimization, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 757--771, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  1504. Kenji Kobayashi, Tomoyuki Hiroyasu and Mitsunori Miki. Mechanism of Multi-Objective Genetic Algorithm for Maintaining the Solution Diversity Using Neural Network, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 216--226, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  1505. Thomas E. Koch and Andreas Zell. MOCS: Multi-Objective Clustering Selection Evolutionary Algorithm, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 423--430, Morgan Kaufmann Publishers, San Francisco, California, July 2002.
  1506. Patrick Koch, Oliver Kramer, Günter Rudolph and Nicola Beume. On the hybridization of SMS-EMOA and local search for continuous multiobjective optimization, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 603--610, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .
  1507. Shyam Prasad Kodali, Rajesh Kudikala and Kalyanmoy Deb. Multi-Objective Optimization of Surface Grinding Process Using NSGA II, in First International Conference on Emerging Trends in Engineering and Technology 2008. (ICETET'08), pp. 763--767, IEEE Computer Society, Washington, DC, USA, July 16-18 2008.
  1508. Praveen Koduru, Sanjoy Das, Stephen Welch and Judith L. Roe. Fuzzy Dominance Based Multi-objective GA-Simplex Hybrid Algorithms Applied to Gene Network Models, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 356--367, Seattle, Washington, USA, June 2004.
  1509. Praveen Koduru, Sanjoy Das, Stephen Welch and Judith L. Roe. A Multi-objective GA-Simplex Hybrid Approach for Gene Regulatory Network Models, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 2084--2091, Portland, Oregon, USA, June 2004.
  1510. Praveen Koduru, Sanjoy Das, Stephen Welch, Judith L. Roe and Zenaida P. Lopez-Dee. A Co-evolutionary Hybrid Algorithm for Multi-Objective Optimization of Gene Regulatory Network Models, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 393--399, Vol. 1, ACM Press, New York, USA, June 2005.
  1511. Praveen Koduru, Sanjoy Das and Stephen M. Welch. Multi-Objective Hybrid PSO Using Ε-Fuzzy Dominance, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 853--860, Vol. 1, ACM Press, London, UK, July 2007.
  1512. Naoki Koizumi, Ikuo Yoshihara, Kunihito Yamamori and Moritoshi Yasunaga. Enhancement of the Variable-Length-Transmission-Line Design method for multi-point optimization, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 449--455, IEEE, Vancouver, BC, Canada, July 2006.
  1513. Ikeda Kokolo, Kita Hajime and Kobayashi Shigenobu. Failure of Pareto-based MOEAs: Does Non-dominated Really Mean Near to Optimal?, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 957--962, May 2001.
  1514. Joshua B. Kollat and Patrick M. Reed. The Value of Online Adaptive Search: A Performance Comparison of NSGAII, ε-NSGAII and ε-MOEA, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 386--398, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1515. Michael Kolonko and Stefan Voget. Multidimensional Optimization with Genetic Algorithms using Fuzzy Fitness Functions. In Tagungsband der Fuzzy-Neuro-Systeme, 1997.
  1516. Dorothea Kolossa and Georg Grübel. Evolutionary Computation and Nonlinear Programming in Multi-model-robust Control Design, in Stefano Cagnoni et al. (eds.), Proceedings of Real World Applications of Evolutionary Computing. EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoRob and EvoFlight, pp. 147--157, Springer. Lecture Notes in Computer Science Vol. 1803, Edinburgh, Scotland, April 2000.
  1517. Dorothea Kolossa, Bert-Uwe Köhler, Markus Conrath and Reinhold Orglmeister. Optimal Permutation Correction by Multiobjective Genetic Algorithms, in T.-W. Lee, T.-P. Jung, S. Makeig and T.J. Sejnowski (editors), 3rd International Conference on Independent Component Analysis and Blind Signal Separation (ICA'2001), December 2001.
  1518. Ken-ichirou Komatsu, Tadashi Ishihara and Hikaru Inooka. Genetic Algorithm with Redundant Chromosome and its Application to Control Systems Design, in IEEE International Conference on Systems, Man and Cybernetics, Vol. 5, pp. 547--552, IEEE, 1999.
  1519. Rié Komuro, Joel H. Reynolds and E. David Ford. Using Multiobjective Evolutionary Algorithms to Assess Biological Simulation Models, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 560--574, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  1520. Rié Komuro, Joel H. Reynolds and E. David Ford. Using the Pareto Frontier to Detect Deficiencies in a Biological Simulation Model, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 888--895, IEEE Press, Singapore, September 2007.
  1521. Nobuhiko Kondo, Toshiharu Hatanaka and Katsuji Uosaki. Nonlinear Dynamic System Identefication Based on Multiobjectively Selected RBF Networks, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 122--127, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  1522. Andreas Konstantinidis, Qingfu Zhang and Kun Yang. A Subproblem-dependent Heuristic in MOEA/D for the Deployment and Power Assignment Problem in Wireless Sensor Networks, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2740--2747, IEEE Press, Trondheim, Norway, May, 2009.
  1523. Andreas Konstantinidis, Christoforos Charalambous, Aimin Zhou and Qingfu Zhang. Multi-objective mobile agent-based Sensor Network Routing using MOEA/D, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3361--3368, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1524. Sylvain Koos, Jean-Baptiste Mouret and Stéphane Doncieux. Automatic System Identification Based on Coevolution of Models and Tests, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 560--567, IEEE Press, Trondheim, Norway, May 2009.
  1525. Sylvain Koos, Jean-Baptiste Mouret and Stéphane Doncieux. Crossing the Reality Gap in Evolutionary Robotics by Promoting Transferable Controllers, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 119--126, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8 .
  1526. Mario Köppen and S. Rudlof. Multiobjective Optimization by Nessy Algorithm, In R. Roy, T. Furuhashi and P.K. Chawdhry, editors, Advances in Soft Computing, pages 357-368, London, 1998. Springer.
  1527. Mario Köppen. On the Benchmarking of Multiobjective Optimization Algorithm, in Vasile Palade, Robert J. Howlett and Lakhmi C. Jain (editors), Proceedings of the 7th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2003). Part I, pp. 379--385, Springer. Lecture Notes on Computer Science Vol. 2773, Oxford, UK, September 2003.
  1528. Mario Köppen, Katrin Franke and Bertram Nickolay. Fuzzy-Pareto-Dominance Driven Multiobjective Genetic Algorithm, in Proceedings of the 10th IFSA World Congress (IFSA 2003), pp. 450--453, Istanbul, Turkey, June 2003.
  1529. M. Koppen and R. Vicente-Garcia. A fuzzy scheme for the ranking of multivariate data and its application, in S. Dick, L. Kurgan, P. Musilek and W. Pedrycz (editors), NAFIPS 2004: Annual Meeting of the North-American-Fuzzy-Information-Processing-Society, pp. 140--145, IEEE Press, Banff, Canada, June 27-30, 2004, ISBN 0-7803-8376-1.
  1530. Mario Köppen, Raul Vicente-Garcia and Betram Nickolay. Fuzzy-Pareto-Dominance and Its Application in Evolutionary Multi-objective Optimization, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 399--412, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1531. Mario Köppen, Raul Vicente-Garcia and Bertram Nickolay. The PARETO-Box Problem for the Modelling of Evolutionary Multiobjective Optimization Algorithms, in Bernardete Ribeiro, Rudolf F. Albrecht andrej Dobnikar, David W. Pearson and Nigel C. Steele (editors), Adaptive and Natural Computing Algorithms, pp. 194--197, Springer, Coimbra, Portugal, March 2005.
  1532. Mario Köppen and Kaori Yoshida. Substitute Distance Assignments in NSGA-II for Handling Many-Objective Optimization Problems, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 727--741, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  1533. Mario Köppen and Kaori Yoshida. Many-Objective Particle Swarm Optimization by Gradual Leader Selection, in Bartlomiej Beliczynski andrzej Dzielinski, Marcin Iwanowski and Bernardete Ribeiro (editors), Adaptive and Natural Computing Algorithms, 8th International Conference, ICANNGA 2007, Part I, pp. 323--331, Springer-Verlag. Lecture Notes in Computer Science Vol. 4431, Warsaw, Poland, April 2007.
  1534. Mario Köppen, Yutaka Kinoshita and Kaori Yoshida. Auxiliary Objectives for the Evolutionary Multi-Objective Principal Color Extraction from Logo Images, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3536--3546, IEEE Service Center, Hong Kong, June 2008.
  1535. Arthur Kordon, Elsa Jordaan, Lawrence Chew, Guido Smits, Torben Bruck, Keith Haney and Annika Jeningsin. Biomass Inferential Sensor Based on Ensemble of Models Generated by Genetic Programming, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 1078--1089, Seattle, Washington, USA, June 2004.
  1536. E. Kornyshova and C. Salinesi. MCDM Techniques Selection Approaches: State of the Art, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 22--29, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  1537. Skander Kort. Schemata-Driven Multi-objective Optimization, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 192--206, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  1538. Jolanta Koszelew and Krzysztof Ostrowski. A Memetic Algorithm for Routing in Urban Public Transportation Networks, in Abdelhamid Bouchachia (editors), Adaptive and Intelligent Systems, Second International Conference, ICAIS 2011, pp. 368--380, Springer. Lecture Notes in Computer Science Vol. 6943, Klagenfurt, Austria, September 6-8, 2011.
  1539. Ketan Kotecha and Sonal Popat. MultiObjective Genetic Algorithm based Adaptive QoS Routing in MANET. In 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 1423-1428, IEEE Press, Singapore, September 2007.
  1540. Jialiang Kou, Shengwu Xiong, Zhixiang Fang, Xinlu Zong and Feifei Bian. Positive point charge potential field based ACO algorithm for multi-objective evacuation routing optimization problem, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 3070--3077, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1541. Konstantinos Koukoulakis and Yun Li. Benchmarking Cost-Assignment Schemes for Multi-objective Evolutionary Algorithms, in Stefano Cagnoni et al. (eds.), Proceedings of Real World Applications of Evolutionary Computing. EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoRob and EvoFlight, pp. 158--167, Springer. Lecture Notes in Computer Science Vol. 1803, Edinburgh, Scotland, April 2000.
  1542. Z. Kowalczuk and T. Bialaszewski. Improving evolutionary multi-objective optimization using genders, Artificial Intelligence and Soft Computing - ICAISC 2006, pp. 390--399, Springer, Lecture Notes in Computer Science Vol. 4029, 2006.
  1543. Naoya Kowatari, Akira Oyama, Hernán Aguirre and Kiyoshi Tanaka. Analysis on Population Size and Neighborhood Recombination on Many-Objective Optimization, in Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia and Mario Pavone (editors), Parallel Problem Solving from Nature - PPSN XII, 12th International Conference, pp. 22--31, Springer. Lecture Notes in Computer Science Vol. 7492, Taormina, Italy, September 1-5, 2012.
  1544. Naoya Kowatari, Akira Oyama, Hernán E. Aguirre and Kiyoshi Tanaka. A study on Large Population MOEA Using Adaptive ε-Box Dominance and Neighborhood Recombination for Many-Objective Optimization, in Youssef Hamadi and Marc Schoenauer (editors), Learning and Intelligent Optimization, 6th International Conference, LION 6, pp. 86--100, Springer. Lecture Notes in Computer Science Vol. 7219, Paris, France, January 16-20, 2012.
  1545. Oliver Kramer and Holger Danielsiek. DBSCAN-Based Multi-Objective Niching to Approximate Equivalent Pareto-Subsets, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 503--510, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.
  1546. Nissrine Krami, Mohamed A. El-Sharkawi and Mohamed Akherraz. Multi Objective Particle Swarm Optimization Technique for Reactive Power Planning, in 2006 Swarm Intelligence Symposium (SIS'06), pp. 170--174, IEEE Press, Indianapolis, Indiana, USA, May 2006.
  1547. Nissrine Krami, Mohamed A. El-Sharkawi and Mohamed Akherraz. Pareto Multiobjective Optimization Technique for Reactive Power Planning, in 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, pp. 1--6, IEEE Press, July 2008.
  1548. Thomas Kremmel, Jirí Kubalík and Stefan Biffl. Multiobjective Evolutionary Algorithm for Software Project Portfolio Optimization, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 1389--1390, ACM Press, Portland, Oregon, USA, July 7--11, 2010. ISBN 978-1-4503-0072-8. .
  1549. Johannes Krettek, Jan Braun, Frank Hoffmann, Torsten Bertram, Thomas Ewald, Hans-Georg Schubert and Horst Lausch. Interactive Evolutionary Multiobjective Optimization for Hydraulic Valve Controller Parameters, in 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2009), pp. 816--821, IEEE Press, Singapore, July 14--17, 2009.
  1550. K.R. Krishnanand, Bijaya Ketan Panigrahi, P.K. Rout and Ankita Mohapatra. Application of Multi-Objective Teaching-Learning-Based Algorithm to an Economic Load Dispatch Problem with Incommensurable Objectives, in Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das and Suresh Chandra Satapathy (editors), Swarm, Evolutionary, and Memetic Computing, Second International Conference, SEMCCO 2011, pp. 697--705, Springer. Lecture Notes in Computer Science Vol. 7076, Visakhapatnam, Andhra Pradesh, India, December 19-21, 2011.
  1551. Marcel Kronfeld and Andreas Zell. Towards scalability in niching methods, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 4409--4416, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1552. Johannes W. Kruisselbrink, Thomas Bäck, Ad P. IJzerman and Eelke van der Horst. Evolutionary Algorithms for Automated Drug Design Towards Target Molecule Properties, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 1555--1562, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6.
  1553. Johannes W. Kruisselbrink, Alexander Aleman, Michael T. M. Emmerich, Ad P. IJzerman, Andreas Bender, Thomas Bäck and Eelke van der Horst. Enhancing search space diversity in multi-objective evolutionary drug molecule design using niching, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 217--224, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9.
  1554. Jiri Kubalik, Richard Mordinyi and Stefan Biffl. Multiobjective Prototype Optimization with Evolved Improvement Steps, in Jano van Hemert and Carlos Cotta (editors), Evolutionary Computation in Combinatorial Optimization, 8th European Conference, EvoCOP 2008, pp. 218-229, Springer, Lecture Notes in Computer Science Vol. 4972, Naples, Italy, March 2008.
  1555. Fumiya Kudo, Tomohiro Yoshikawa and Takeshi Furuhashi. A Study on Analysis of Design Variables in Pareto Solutions for Conceptual Design Optimization Problem of Hybrid Rocket Engine, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2558--2562, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  1556. Fumiya Kudo and Tomohiro Yoshikawa. Knowledge extraction in multi-objective optimization problem based on visualization of Pareto solutions, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 860--865, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1557. Saku Kukkonen and Jouni Lampinen. Mechanical Component Design for Multiple Objectives Using Generalized Differential Evolution, in I.C. Parmee (editor), Adaptive Computing in Design and Manufacture VI, pp. 261--272, Springer, London, 2004.
  1558. Saku Kukkonen and Jouni Lampinen. An Extension of Generalized Differential Evolution for Multi-objective Optimization with Constraints, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 752--761, Birmingham, UK, September 2004.
  1559. Saku Kukkonen and Jouni Lampinen. Comparison of Generalized Differential Evolution to other Multi-Objective Evolutionary Algorithms, in P. Neittaanmäki, T. Rossi, S. Korotov, E. Oñate, J. Périaux and D. Knörzer (editors), Proceedings of the 4th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2004), University of Jyväskylä, Department of Mathematical Information Technology, Jyväskylä, Finland, 24-28 July, 2004.
  1560. Saku Kukkonen and Jouni Lampinen. GDE3: The third Evolution Step of Generalized Differential Evolution, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 443--450, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  1561. Saku Kukkonen and Jouni Lampinen. An Empirical Study of Control Parameters for Generalized Differential Evolution, in R. Schilling, W. Haase, J. Periaux, H. Baier and G. Bugeda (editors), The Sixth Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2005), Munich, Germany, 12-14 September, 2005.
  1562. Saku Kukkonen and Kalyanmoy Deb. Improved Pruning of Non-Dominated Solutions Based on Crowding Distance for Bi-Objective Optimization Problems, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3995--4002, IEEE, Vancouver, BC, Canada, July 2006.
  1563. Saku Kukkonen and Jouni Lampinen. An Empirical Study of Control Parameters for the Third Version of Generalized Differential Evolution (GDE3), in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 7355--7362, IEEE, Vancouver, BC, Canada, July 2006.
  1564. Saku Kukkonen, Sujit R. Jangam and Nirupam Chakraborti. Solving The Molecular Sequence Alignment Problem with Generalized Differential Evolution 3 (GDE3), in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 302--309, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  1565. Saku Kukkonen and Jouni Lampinen. Performance Assessment of Generalized Differential Evolution 3 (GDE3) with a Given Set of Problems. in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3593--3600, IEEE Press, Singapore, September 2007.
  1566. Saku Kukkonen and Jouni Lampinen. Ranking-Dominance and Many-Objective Optimization, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3983--3990, IEEE Press, Singapore, September 2007.
  1567. Saku Kukkonen and Jouni Lampinen. Performance Assessment of Generalized Differential Evolution 3 with a Given Set of Constrained Multi-Objective Test Problems, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1943--1950, IEEE Press, Trondheim, Norway, May, 2009.
  1568. Sadan Kulturel-Konak and David W. Coit. Determination of Pruned Pareto Sets for the Multi-Objective System Redundancy Allocation Problem, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 390--394, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  1569. P. Kulvanit, N. Chaiyaratana and D. Laowattana. Biped Fast Walking Gait Shaping via Evolutionary Multi-Objective Optimization, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 4019--4026, IEEE Press, Singapore, September 2007.
  1570. Rajeev Kumar and Peter I. Rockett. Assessing the Convergence of Rank-Based Multiobjective Genetic Algorithms, In Proceedings of the 2nd IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA'97), pages 19-23, Glasgow, Scotland, September 1997. IEE.
  1571. Rajeev Kumar and Peter Rockett. Decomposition of High Dimensional Pattern Spaces for Hierarchical Classification. In Proceedings of the Workshop on Statistical Techniques in Pattern Recognition, Prague, Czech Republic, June 1997.
  1572. Rajeev Kumar, N. Vinay Kumar and I. J. Nagrath. Object oriented toolkit for multiobjective genetic optimisation, In 3rd International Conference on Computational Intelligence and Multimedia Applications, pp. 96--10, IEEE, New Delhi, India, September 1999.
  1573. Rajeev Kumar. On Generalisation of Machine Learning with Neural-Evolutionary Computations, in Proceedings of the Third International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'99), pp. 112--116, IEEE Computer Society Press, Los Alamitos, California, 1999.
  1574. Rajeev Kumar. Codebook Design for Vector Quantisation using Multiobjective Genetic Algorithms, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.
  1575. Rajeev Kumar, S. Prasanth and M.S. Sudarshan. Topological Design of Mesh Communication Networks using Multiobjecitve Genetic Optimisation, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.
  1576. Rajeev Kumar, V. Prasanna Krishnan and Kartik S. Santhanakrishnan. Design of an Optimal Communication Network Using Multiobjective Genetic Optimization, in Proceedings of the IEEE International Conference on Industrial Technology, Vol. 1, pp. 515--520, 2000.
  1577. Sujay V. Kumar and S. Ranji Ranjithan. Evaluation of the Constraint Method-Based Evolutionary Algorithm (CMEA) for a Three-Objective Optimization Problem, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 431--438, Morgan Kaufmann Publishers, San Francisco, California, July 2002.
  1578. Rajeev Kumar, Prajna P. Parida and Mohit Gupta. Topological Design of Communication Networks using Multiobjective Genetic Optimization, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 425--430, IEEE Service Center, Piscataway, New Jersey, May 2002
  1579. Rajeev Kumar and Peter Rockett. Evolutionary Multimodal Optimization Revisited, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 1592--1593, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003.
  1580. Rajeev Kumar and Nilanjan Banerjee. Multicriteria Network Design Using Evolutionary Algorithm, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 2179--2190, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003.
  1581. Rajeev Kumar and Peter Rockett. Effective Evolutionary Multimodal Optimization by Multiobjective Reformulation Without Explicit Niching/Sharing, in Suresh Manandhar, Jim Austin, Uday B. Desai, Yoshio Oyanagi and Asoke K. Talukder (editors), Applied Computing, Second Asian Applied Computing Conference, AACC 2004, pp. 1--8, Springer. Lecture Notes in Computer Science Volume 3285, Kathmandu, Nepal, October 29-31, 2004.
  1582. Rajeev Kumar, P.K. Singh and P.P. Chakrabarti. Multiobjective EA Approach for Improved Quality of Solutions for Spanning Tree Problem, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 811--825, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1583. Rajeev Kumar and Nilanjan Banerjee. Running time analysis of a multiobjective evolutionary algorithm on simple and hard problems, in Alden H. Wright, Michael D. Vose, Kenneth A. De Jong and Lothar M. Schmitt (editors), Foundations of Genetic Algorithms. 8th International Workshop, FOGA 2005, Springer, Lecture Notes in Computer Science Vol. 3469, pp. 112--131, Aizu-Wakamatsu City, Japan, January 2005.
  1584. Rajeev Kumar, P.K. Singh and Bhargab B. Bhattacharya. Biobjective Evolutionary and Heuristic Algorithms for Intersection of Geometric Graphs, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1689--1696, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  1585. Rajeev Kumar and P. K. Singh. On Quality Performance of Huristic and Evolutionary Algorithms for Biobjective Minimum Spanning Trees, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 2259, Vol. 2, ACM Press, London, UK, July 2007.
  1586. Abhay Kumar, Deepak Sharma and Kalyanmoy Deb. A Hybrid Multi-Objective Optimization Procedure Using PCX Based NSGA-II and Sequential Quadratic Programming, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3011--3018, IEEE Press, Singapore, September 2007.
  1587. Rajeev Kumar, Paresh Tolay and Siddharth Tiwary. Enhancing Solution Quality of the Biobjective Graph Coloring Problem Using Hybridization of EA, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 547--554, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6 .
  1588. Rajeev Kumar, Ashwin H. Joshi, Krishna K. Banka and Peter I. Rockett. Evolution of Hyperheuristics for the Biobjective 0/1 Knapsack Problem by Multiobjective Genetic Programming, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 1227--1234, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6 .
  1589. Rajeev Kumar, Bipul Kumar Bal and Peter Rockett. Multiobjective genetic programming approach to evolving heuristics for the bounded diameter minimum spanning tree problem, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 309--316, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .
  1590. G. N. Sashi Kumar, A. K. MAhendra, A. Sanyal and G. Gouthaman. A Hybrid Method for Multi-Objective Shape Optimization, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 563--567, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  1591. Sourav Kundu, Seichi Kawata and A. Watanabe. Optimal control system design using a Pareto genetic algorithm. In Proceedings of the Joint System and Information '95 Symposium, pages 53-59, Toyama, Japan, November 1995. SICE.
  1592. Sourav Kundu and Andrzej Osyczka. The effect of genetic algorithm selection mechanisms on multicriteria optimization using the distance method. In Proceedings of the Fifth International Conference on Intelligent Systems, pages 164-168, Reno, Nevada, 1996. International Society for Computers and Their Applications (ISCA).
  1593. Sourav Kundu, S. Kawata and A. Watanabe. A multicriteria approach to control system design with genetic algorithm. In Proceedings of the International Federation of Automatic Control (IFAC'96)--13th World Congress, volume D, pages 315-320, Klidington, UK, 1996. Elsevier Science.
  1594. Sourav Kundu. A multicriteria genetic algorithm to solve optimization problems in structural engineering design. In B. Kumar, editor, Information Processing in Civil and Structural Engineering Design, pages 225-233, Glasgow, Scotland, August 1996. Civil-Comp Press Ltd.
  1595. Sourav Kundu and Andrzej Osyczka. Genetic multicriteria optimization of structural systems. In Proceedings of the 19th International Congress on Theoretical and Applied Mechanics (ICTAM 1996), page 272, Kyoto, Japan, August 1996. International Union of Theoretical and Applied Mechanics (IUTAM). Volumen of Abstracts.
  1596. Sourav Kundu and Seichi Kawata. A GA-based state feedback design method using bicriterion performance index and tournament selection. In Proceedings of the Fifth International Conference on Intelligent Systems, pages 169-173, Reno, Nevada, 1996. International Society for Computers and Their Applications (ISCA).
  1597. Sourav Kundu. A Note on Optimality vs. Stability--A Genetic Algorithm based Approach,In Proceedings of the Third World Congress of Structural and Multidisciplinary Optimization (WCSMO), Buffalo, New York, May 1999.
  1598. Sourav Kundu and Seiichi Kawata. Evolutionary Multicriteria Optimization for Improved Design of Optimal Control Systems, in I.C. Parmee (Editor), Proceedings of the Fifth International Conference on Adaptive Computing Design and Manufacture (ACDM 2002), pp. 207--218, Springer-Verlag, University of Exeter, Devon, UK, April 2002.
  1599. Souvik Kundu, Subhodip Biswas, Swagatam Das and P.N. Suganthan. Crowding-based local Differential Evolution with Speciation-based Memory Archive for Dynamic Multimodal Optimization, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 33--40, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  1600. Pascale Kuntz, Rémi Lehn and Henri Briand. Dynamic Rule Graph Drawing by Genetic Search, in IEEE International Conference on Systems, Man and Cybernetics, Vol. 4, pp. 2481--2486, 2000.
  1601. Setsuya Kurahashi and Takao Terano. A Genetic Algorithm with Tabu Search for Multimodal and Multiobjective Function Optimization. In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 291-298, San Francisco, California, 2000. Morgan Kaufmann.
  1602. Frank Kursawe. A variant of evolution strategies for vector optimization, In H. P. Schwefel and R. Männer, editors, Parallel Problem Solving from Nature. 1st Workshop, PPSN I, volume 496 of Lecture Notes in Computer Science, pages 193-197, Berlin, Germany, oct 1991. Springer-Verlag.
  1603. Frank Kursawe. Evolution strategies for vector optimization, In Preliminary Procedings of the Tenth International Conference on Multiple Criteria Decision Making, pages 187-193, Taipei, China, July 1992. National Chiao Tung University.
  1604. Mary E. Kurz and Sarah Canterbury. Minimizing Total Flowtime and Maximum Earliness on a Single Machine Using Multiple Measures of Fitness, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 803--809, Vol. 1, ACM Press, New York, USA, June 2005.
  1605. Andrew Kusiak. Evolutionary Computation and Data Mining, in B. Gopalakrishnan and A. Gunasekaran (Eds) Proceedings of the SPIE Conference on Intelligent Systems and Advanced Manufacturing, SPIE, Vol. 4192, pp. 1--10, Boston, Massachussets, November 2000.
  1606. Natsuki Kusuno, Hernán Aguirre, Kiyoshi Tanaka and Masataka Koishi. Evolutionary Multi-Objective Optimization To Attain Practically Desirable Solutions, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 639--646, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  1607. C.M. Kwan and C.S. Chang. Application of Evolutionary Algorithm on a Transportation Scheduling Problem - The Mass Rapid Transit, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 987--994, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.
  1608. Chung Kwan, Fan Yang and Che Chang. A Differential Evolution Variant of NSGA II for Real World Multiobjective Optimization, in Marcus Randall, Hussein A. Abbass and Janet Wiles (editors), Progress in Artificial Life, Third Australian Conference, ACAL 2007, pp. 345--356, Springer. Lecture Notes in Artificial Intelligence Vol. 4828, Gold Coast, Australia, December 4-6, 2007.
  1609. N. M. Kwok, Q. P. Ha, D. K. Liu and G. Fang. Intensity-Preserving Contrast Enhancement for Gray-Level Images using Multi-objective Particle Swarm Optimization, in Proceeding of the 2006 IEEE International Conference on Automation Science and Engineering, pp. 21--26, IEEE Computer Society Press, Shanghai, China, October 7-10, 2006.
  1610. Sam Kwong and H.W. Chong. A Genetic Algorithm for Joint Optimization of Spare Capacity and Delay in Self-Healing Network, in in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 732--736, Vol. 2, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.
  1611. L

  1612. Hao C. Lac and Deborah A. Stacey. Feature subset selection via multi-objective genetic algorithm, in Proceedings of the 2005 IEEE International Joint Conference on Neural Networks, Vol. 3, pp. 1349--1354, IEEE Press, 31 July--4 August, 2005.
  1613. Bakir Lacevic, Samim Konjicija and Zikrija Avdagic. Population Diversity Measure Based on Singular Values of the Distance Matrix. In 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 1863-1869, IEEE Press, Singapore, September 2007.
  1614. P. Lacomme, C. Prins and M. Sevaux. Multiobjective Capacitated Arc Routing Problem, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 550--564, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  1615. Michael Lahanas, Eduard Schreibmann, Natasa Milickovic and Dimos Baltas. Intensity Modulated Beam Radiation Therapy Dose Optimization with Multiobjective Evolutionary Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 648--661, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  1616. Gary B. Lamont, James N. Slear and Kenneth Melendez. UAV Swarm Mission Planning and Routing using Multi-Objective Evolutionary Algorithms, in IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM 2007), pp. 10--20, IEEE Press, April 2007.
  1617. Ricardo Landa Becerra, Carlos A. Coello Coello, Alfredo G. Hernández-Díaz, Rafael Caballero and Julián Molina. Alternative Techniques to Solve Hard Multi-Objective Optimization Problems, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 757--764, Vol. 1, ACM Press, London, UK, July 2007.
  1618. Ricardo Landa, Carlos A. Coello Coello and Gregorio Toscano-Pulido. Goal-constraint: Incorporating Preferences Through an Evolutionary ε-constraint Based Method, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 741--747, IEEE Press, Cancún, México, 20-23 June, 2013.
  1619. Birger Landwehr. A Genetic Algorithm based Approach for Multi-Objective Data-Flow Graph Optimization, in Proceedings of the Asia and South Pacific Design Automation Conference 1999 (ASP-DAC'99), IEEE, pp. 355--358, Wanchai, Hong Kong, January 1999.
  1620. P.C.R. Lane and F. Gobet. Discovering predictive variables when evolving cognitive models, Pattern Recognition and Data Mining, Pt 1, Proceedings, Springer, pp. 108--117, Lecture Notes in Computer Science Vol. 3686, 2005.
  1621. William B. Langdon. Evolving data structures using genetic programming, In Larry Eshelman, editor, Proceedings of the Sixth International Conference on Genetic Algorithms (ICGA'95), pages 295-302, Pittsburgh, PA, July 1995. Morgan Kaufmann.
  1622. William B. Langdon. Using Data Structures within Genetic Programming, In John R. Koza, David E. Goldberg, David B. Fogel and Rick L. Riolo, editors, Genetic Programming 1996: Proceedings of the First Annual Conference, pages 141-148, Stanford University, CA, USA, 28-31 July 1996. MIT Press.
  1623. William B. Langdon. Scheduling Maintenance of Electrical Power Transmission Networks Using Genetic Programming, In John R. Koza, editor, Late Breaking Papers at the GP-96 Conference, pages 107-116, Stanford, CA, USA, 28-31 July 1996. Stanford Bookstore.
  1624. W. B. Langdon. Scheduling Maintenance of Electrical Power Transmission Networks Using Genetic Programming. In The 1st Online Workshop on Soft Computing (WSC1). Research Group on ECOmp of the Society of Fuzzy Theory and Systems (SOFT), Nagoya University, Japan, August 1996.
  1625. William B. Langdon, Mark Harman and Yue Jia. Multi objective higher order mutation testing with GP, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1945--1946, ACM Press, Montreal, Canada, July 8--12, 2009. ISBN 978-1-60558-325-9 .
  1626. Grecia Lapizco-Encinas, Carl Kingsford and James Reggia. Particle Swarm Optimization for multimodal combinatorial problems and its application to protein design, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3735--3742, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1627. Adriana Lara, Carlos A. Coello Coello and Oliver Schütze. Using Gradient-Based Information to Deal with Scalability in Multi-objective Evolutionary Algorithms, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 16--23, IEEE Press, Trodheim, Norway, May 2009.
  1628. Adriana Lara López, Carlos A. Coello Coello and Oliver Schuetze. A Painless Gradient-Assisted Multi-Objective Memetic Mechanism for Solving Continuous Bi-objective Optimization Problems, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 577-584, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1629. Oscar D. Lara and Miguel A. Labrador. A Multiobjective Ant Colony-based Optimization Algorithm for the Bin Packing Problem with Load Balancing, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 450--457, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1630. S.P. Larcombe and N.A. Thacker. Using Genetic Algorithms to Automate System Implementation in a Novel Three-Dimensional Packaging Technology. In Proceedings of IEEE ICCD, 1996.
  1631. S.P. Larcombe, D.J. Prendergast, N.A. Thacker and P.A. Ivey. Initial Development of a Genetic Algorithm to Automate System Implementation in a Novel Electronic Packaging Technology. In Proceedings of GALESIA'97, Glasgow, September 1997.
  1632. Fiacc Larkin and Conor Ryan. Modesty Is the Best Policy: Automatic Discovery of Viable Forecasting Goals in Financial Data, in Cecilia Di Chio, Anthony Brabazon, Gianni A. Di Caro, Marc Ebner, Muddassar Farooq, Andreas Fink, Jörn Grahl, Gary Greenfield, Penousal Machado, Michael O'Neill, Ernesto Tarantino and Neil Urquhard (editors), Applications of Evolutionary Computation, EvoApplications 2010: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoMUSART and EvoTRANSLOG, pp. 202--211, Springer. Lecture Notes in Computer Science Vol. 6025, Istanbul, Turkey, April 7-9, 2010.
  1633. Valerio Lattarulo and Geoffrey T. Parks. A preliminary study of a new multi-objective optimization algorithm, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 763--770, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1634. Valerio Lattarulo, Timoleon Kipouros and Geoffrey T. Parks. Application of the Multi-objective Alliance Algorithm to a Benchmark Aerodynamic Optimization Problem, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 3182--3189, IEEE Press, Cancún, México, 20-23 June, 2013.
  1635. Valerio Lattarulo, Pranay Seshadri and Geoffrey T. Parks. Optimization of a Supersonic Airfoil Using the Multi-Objective Alliance Algorithm, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 1333--1340, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  1636. Marco Laumanns, Günter Rudolph and Hans-Paul Schwefel. A Spatial Predator-Prey Approach to Multi-Objective Optimization: A Preliminary Study, In A. E. Eiben, M. Schoenauer and H.-P. Schwefel, editors, Parallel Problem Solving From Nature -- PPSN V, pages 241-249, Amsterdam, Holland, 1998. Springer-Verlag.
  1637. Marco Laumanns, Eckart Zitzler and Lothar Thiele. A Unified Model for Multi-Objective Evolutionary Algorithms with Elitism, In 2000 IEEE Congress on Evolutionary Computation, volume 1, pages 46-53, Piscataway, New Jersey, July 2000. IEEE Service Center.
  1638. Marco Laumanns, Günter Rudolph and Hans-Paul Schwefel. Adaptive Mutation Control in Panmictic and Spatially Distributed Multi-Objective Evolutionary Algorithms, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), September 2000.
  1639. Marco Laumanns, Günter Rudolph and Hans-Paul Schwefel. Mutation Control and Convergence in Evolutionary Multi-Objective Optimization. In R. Matousek and P. Osmera (eds.), Proceedings of the 7th International Mendel Conference on Soft Computing (MENDEL 2001), Brno University of Technology, pp. 24--29, Brno, Czech Republic, June 2001.
  1640. Nando Laumanns, Marco Laumanns and Harmut Kitterer. Evolutionary Multi-Objective Integer Programming for the Design of Adaptive Cruise Control Systems, in Tim Hendtlass and Moonis Ali (editors), Proceedings of the Fifteenth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE-2002), pp. 200--210, Springer-Verlag. Lecture Notes in Artificial Intelligence Vol. 2358, Cairns, Australia, June 2001.
  1641. Marco Laumanns, Eckart Zitzler and Lother Thiele. Multiple Criteria Decision Support by Evolutionary Computation, in L.M. Hilty and P.W. Gilgen (editors), Sustainability in the Information Society, 15th International Symposium Informatics for Environmental Protection, Verlag, Zurich, October 2001.
  1642. Marco Laumanns, Lothar Thiele, Eckart Zitzler and Kalyanmoy Deb. Archiving with Guaranteed Convergence and Diversity in Multi-Objective Optimization, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 439--447, Morgan Kaufmann Publishers, San Francisco, California, July 2002.
  1643. Marco Laumanns, Lothar Thiele, Eckart Zitzler, Emo Welzl and Kalyanmoy Deb. Running Time Analysis of Multi-objective Evolutionary Algorithms on a Simple Discrete Optimization Problem, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 44--53, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002.
  1644. Marco Laumanns and Jiri Ocenasek. Bayesian Optimization Algorithms for Multi-objective Optimization, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 298--307, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002.
  1645. Michelle R. Lavagna and Amalia Ercoli Finzi, Concurrent Processes within Preliminary Spacecraft Design: An Autonomous Decisional Support Based on Genetic Algorithms and Analytic Hierarchical Process, in Proceedings of the 17th International Symposium on Space Flight Dynamics, Moscow, Russia, June 2003.
  1646. Michèle R. Lavagna. Multi-Objective PSO for Interplanetary Trajectory Design, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 175, Vol. 1, ACM Press, London, UK, July 2007.
  1647. Michael Lawrence. Multiobjective Genetic Algorithms for Materialized View Selection in OLAP Data Warehouses, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 699--706, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4.
  1648. Khoi Le and Dario Landa-Silva. Obtaining Better Non-Dominated Sets Using Volume Dominance, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3119--3126, IEEE Press, Singapore, September 2007.
  1649. Khoi Le and Dario Landa-Silva. Adaptive and Assortative Mating Scheme for Evolutionary Multi-Objective Algorithms, in Nicolas Monmarché, El-Ghazali Talbi, Pierre Collet, Marc Schoenauer and Evelyne Lutton, (editors), Artificial Evolution. 8th International Conference Evolution Artificielle (EA 2007), pp. 172--183, Springer. Lecture Notes in Computer Science. Vol. 4926, Tours, France, October, 2007.
  1650. Minh Nghia Le, Yew Soon Ong, Stefan Menzel, Chun-Wei Seah and Bernhard Sendhoff. Multi co-objective evolutionary optimization: cross surrogate augmentation for computationally expensive problems, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 2871--2878, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1651. M. A. Lee and R. Hartani. A Multiobjective Evolutionary Algorithms Approach to Fuzzy Modelling. In Proceedings of the Second Annual Joint Conference on Information Sciences (JCIS'95), pages 460-463, Wrightsville Beach, North Carolina, 1995.
  1652. Michael A. Lee, Henrik Esbensen and Laurent Lemaitre. The Design of Hybrid Fuzzy/Evolutionary Multiobjective Optimization Algorithms. In Proceedings of the 1995 IEEE/Nagoya University World Wiseperson Workshop, pages 118-125, Nagoya, Japan, 1995.
  1653. M. A. Lee and H. Esbensen. Set Quality Measures for Characterizing Multiobjective Optimization Algorithm Behavior. In Procedings of the North American Fuzzy Information Processing Society (NAFIPS'96), Berkeley, California, 1996.
  1654. M. A. Lee and H. Esbensen. Constructing Fuzzy/Evolutionary Multiobjective Optimization Algorithms. In Proceedings of the International IEEE Conference on Fuzzy System (FUZZ-IEEE'96), New Orleans, Louisiana, 1996.
  1655. M. A. Lee and H. Esbensen. Multiobjective Optimization using Fuzzy/Evolutionary Algorithms. In Proceedings of the International Society for Computers and Their Applications (ISCA'96), San Francisco, California, 1996.
  1656. Michael A. Lee and Henrik Esbensen. Automatic Construction of Fuzzy Controllers for Evolutionary Multiobjective Optimization Algorithms, in Proceedings of the Fifth IEEE International Conference on Fuzzy Systems, Vol. 2, pp. 1518--1523, 1996.
  1657. Michael A. Lee and Henrik Esbensen. Evolutionary Algorithms Based Multiobjective Optimization Techniques for Intelligent Systems Design, in 1996 Biennial Conference of the North America Fuzzy Information Processing Society (NAFIPS'96), pp. 360--364, 1996.
  1658. T.H. Lee, K.C. Tan and E.F. Khor. Control System Design Unification and Automation---A Way Forward in CACSD via Evolutionary Computation, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, pp. 152--161, IEEE Service Center, Piscataway, New Jersey, 2001.
  1659. In-Hee Lee, Soo-Yong Shin and Byoung-Tak Zhang. DNA Sequence Optimization Using Constrained Multi-Objective Evolutionary Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2270--2276, IEEE Press, Canberra, Australia, December 2003.
  1660. In-Hee Lee, Soo-Yong Shin and Byoung-Tak Zhang. Multiplex PCR Assay Design by Hybrid Multiobjective Evolutionary Algorithm, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 376--385, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  1661. Chi-Ho Lee, Kang-Hee Lee and Jong-Hwan Kim. Evolutionary Multi-Objective Optimization for Generating Artificial Creature's Personality. In 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 2450-2455, IEEE Press, Singapore, September 2007.
  1662. Chi-Ho Lee, Ye-Hoon Kim and Jong-Hwan Kim. Multiobjective Evolutionary Algorithm Reinforcing Specific Objective, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 2894--2898, IEEE Service Center, Hong Kong, June 2008.
  1663. DongSeop Lee, Jacques Periaux, Jordi Pons-Prats, Gabriel Begeda and Eugenio Oñate. Double Shock Control Bump Design Optimization using Hybridised Evolutionary Algorithms, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 1959--1966, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1664. Ki-Baek Lee and Jong-Hwan Kim. Multi-Objective Particle Swarm Optimization with Preference-based Sorting, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2506--2513, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  1665. DongSeop Lee, Luis Felipe Gonzalez, Jacques Periaux and Gabriel Bugeda. Multi-objective design optimization of morphing UAV aerofoil/wing using hybridised MOGA, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 704--711, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1666. Julien Legriel, Scott Cotton and Oded Maler. On Universal Search Strategies for Multi-Criteria Optimization Using Weighted Sums , in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2351--2358, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  1667. Joel Lehman and Kenneth O. Stanley. Evolving Diversity of Creatures Through Novelty Search and Local Competition, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 211--218, ACM Press, Dublin, Ireland, July 12-16, 2011.
  1668. Joel Lehman, Kenneth O. Stanley and Risto Miikkulainen. Effective Diversity Maintenance in Deceptive Domains, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 215--222, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  1669. Tian Lei, Liu Lieli, Liyan Han and Hai Huang. A Genetic Algorithm-Based Double-Objective Multi-constraint Optimal Cross-Region Cross-Sector Public Investment Model, in Licheng Jiao, Lipo Wang, Xinbo Gao, Jing Liu and Feng Wu (editors), Advances in Natural Computation, Second International Conference, ICNC 2006, pp. 470--479, Springer. Lecture Notes in Computer Science Volume 4222, Xi'an, China, September 24-28 2006.
  1670. Tiago Leitão, Francisco B. Pereira, Jorge Tavares and Ernesto Costa. Niching Techniques: a Study on the Cluster Geometry Optimization Problem, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 1524, Vol. 2, ACM Press, London, UK, July 2007.
  1671. Héctor A. Leiva, Susana C. Esquivel and Raúl H. Gallard. Multiplicity and Local Search in Evolutionary Algorithms to Build the Pareto Front, in Proceedings of the XX International Conference of the Chilean Computer Science Society, pp. 7--13, IEEE Computer Society Press, Piscataway, New Jersey, 2000.
  1672. .

  1673. Michal Lemczyk and Malcolm I. Heywood. Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach, in Marc Ebner, Michael O'Neill, Anikó Ekárt, Leonardo Vanneschi and Anna Isabel Esparcia-Alcázar (editors), Genetic Programming, 10th European Conference, EuroGP 2007, pp. 229--240, Springer. Lecture Notes in Computer Science Vol. 4445, Valencia, Spain, April 2007.
  1674. I. Jerin Leno, S. Saravana Sankar, M. Victor Raj and S.G. Ponnambalam. Bi-criteria Optimization in Integrated Layout Design of Cellular Manufacturing Systems Using a Genetic Algorithm, in Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das and Suresh Chandra Satapathy (editors), Swarm, Evolutionary, and Memetic Computing, Second International Conference, SEMCCO 2011, pp. 323--331, Springer. Lecture Notes in Computer Science Vol. 7076, Visakhapatnam, Andhra Pradesh, India, December 19-21, 2011.
  1675. Coromoto León, Gara Miranda and Carlos Segura. Parallel Skeleton for Multi-Objective Optimization, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 906, Vol. 1, ACM Press, London, UK, July 2007.
  1676. Coromoto León, Gara Miranda and Carlos Segura. Parallel Hyperheuristic: A Self-Adaptive Island-Based Model for Multi-Objective Optimization, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 757--758, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6 .
  1677. Coromoto León, Gara Miranda, Eduardo Segredo and Carlos Segura. Parallel Library of Multi-objective Evolutionary Algorithms, in Didier El Baz, François Spies and Tom Gross (editors), Proceedings of the 17th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP 2009), pp. 28--35, IEEE Computer Society, Weimar, Germany, Febuary 2009.
  1678. Wen-Fung Leong and Gary G. Yen. Dynamic Population size in PSO-based Multiobjective Optimization, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 6182--6189, IEEE, Vancouver, BC, Canada, July 2006.
  1679. Wen-Fung Leong and Gary G. Yen. Dynamic Swarms in PSO-Based Multiobjective Optimization, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3172--3179, IEEE Press, Singapore, September 2007.
  1680. Wen-Fung Leong and Gary G. Yen. Impact of Tuning Parameters on Dynamic Swarms in PSO-Based Multiobjective Optimization, in 2008 Congress on Evolutionary Computation (CEC'2008), Hong Kong, pp. 1317--1324, IEEE Service Center, June 2008.
  1681. Quan Le-Trung and Gabriele Kotsis. A Network Model for MANET Nodes and Actors Collaboration to Optimize Processing in Event Areas, in International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems (PE-WASUN'07), pp. 87--91, ACM Press, Chania, Crete Island, Greece, October 22, 2007.
  1682. Kwong-Sak Leung and Yong Liang. Adaptive Elitist-Population Based Genetic Algorithm for Multimodal Function Optimization, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 1160--1171, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003.
  1683. Shing Wa Leung, Xin Zhang and Shiu Yin Yuen. Multiobjective differential evolution algorithm with opposition-based parameter control, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 2106--2113, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1684. Julien-Charles Lévesque, Audrey Durand, Christian Gagné and Robert Sabourin. Multi-Objective Evolutionary Optimization for Generating Ensembles of Classifiers in the ROC Space, in 2012 Genetic and Evolutionary Computation Conference (GECCO'2012), pp. 879--886, ACM Press, Philadelphia, USA, July 2012, ISBN: 978-1-4503-1177-9.
  1685. F. Levi, M. Gobbi, G. Mastinu and M. Farina. Multi-Objective Design and Selection of One Single Optimal Solution, in Proceedings of IMECE 2004: 2004 International Mechanical Engineering Congress and R&D Expo, Anaheim, California, USA, November 2004.
  1686. Jung-Ho Lewe. A Spotlight Search Method for Multi-Criteria Optimization Problems, in Proceedings of the 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, American Institute of Aeronautics and Astronautics. AIAA 2002-5432, Atlanta, Georgia, September 2002.
  1687. Andrew Lewis and David Abramson. An Evolutionary Programming Algorithm for Multi-Objective Optimisation, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1926--1932, IEEE Press, Canberra, Australia, December 2003.
  1688. Andrew Lewis and David Ireland. Automated Solution Selection in Multi-Objective Optimisation, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 2163--2169, IEEE Service Center, Hong Kong, June, 2008.
  1689. Andrew Lewis. LoCost: a Spatial Social Network Algorithm for Multi-Objective Optimisation, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2866--2870, IEEE Press, Trondheim, Norway, May, 2009.
  1690. Andrew Lewis, Gerhard Weis, Marcus Randall, Amir Galehdar and David Thiel. Optimising Efficiency and Gain of Small Meander Line RFID Antennas using Ant Colony System, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1486--1492, IEEE Press, Trondheim, Norway, May, 2009.
  1691. Juan Carlos Leyva-Lopez and Miguel Angel Aguilera-Contreras. A Multiobjective Evolutionary Algorithm for Deriving Final Ranking from a Fuzzy Outranking Relation, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 235--249, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1692. Yinzhen Li, Mitsuo Gen and Kenichi Ida. Evolutionary Computation for Multicriteria Solid Transportation Problem with Fuzzy Numbers. In Thomas Bäck, Zbigniew Michalewicz and Hiroaki Kitano, editors, Proceedings of the Third IEEE Conference on Evolutionary Computation, pages 596-601, Piscataway, New Jersey, 1996. IEEE Service Center.
  1693. Yinzhen Li, Kenichi Ida and Mitsuo Gen. Evolutionary Program for Multicriteria Solid Transportation Problem with Fuzzy Numbers, in IEEE International Conference on Systems, Man and Cybernetics, IEEE, Vol. 3, pp. 1960--1965, 1996.
  1694. Y. Li and K.F. Man. Scheduling and Planning Problem in Manufacturing Systems with Multiobjective Genetic Algorithm, in Proceedings of the 24th Annual Conference on the IEEE Industrial Electronics Society, Vol. 1, pp. 274--279, 1998.
  1695. Seereeram Li, Ravichandran Mehra, Robert Smith and Randal Beard.Multi-spacecraft Trajectory Optimization and Control using Genetic Algorithm Techniques, in IEEE Aerospace Conference Proceedings, Vol. 7, IEEE, pp. 99--108, 2000.
  1696. Xiaodong Li. A Real-Coded Predator-Prey Genetic Algorithm for Multiobjective Optimization, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 207--221, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  1697. Xiaodong Li. A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 37--48, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003.
  1698. Hui Li, Qingfu Zhang, Edward Tsang and John A. Ford. Hybrid Estimation of Distribution Algorithm for Multiobjective Knapsack Problem, in Jens Gottlieb and Günter R. Raidl (editors), Evolutionary Computation in Combinatorial Optimization, Proceedings of the 4th European Conference, EvoCOP 2004, Springer, pp. 145--154, Lecture Notes in Computer Science, Vol. 3004, April 2004.
  1699. Xiaodong Li. Better Spread and Convergence: Particle Swarm Multiobjective Optimization Using the Maximin Fitness Function, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 117--128, Seattle, Washington, USA, June 2004.
  1700. Xiaodong Li. Adaptively choosing neighbourhood bests using species in a particle swarm optimizer for multimodal function optimization, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 105--116, Seattle, Washington, USA, June 2004.
  1701. Weiqi Li. Finding Pareto-Optimal Set by Merging Attractors for a Bi-objective Traveling Salesmen Problem, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 797--810, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1702. Mian Li, Shapour Azarm and Vikrant Aute. A Multi-Objective Genetic Algorithm for Robust Design Optimization, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 771--778, Vol. 1, ACM Press, New York, USA, June 2005.
  1703. Jin Li and Sope Taiwo. Enhancing Financial Decision Making Using Multi-Objective Financial Genetic Programming, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 7935--7942, IEEE, Vancouver, BC, Canada, July 2006.
  1704. Xiaodong Li, Jürgen Branke and Michael Kirley. Performance Measures and Particle Swarm Methods for Dynamic Multiobjective Optimization Problems, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 907, Vol. 1, ACM Press, London, UK, July 2007.
  1705. Zhiyong Li and Günter Rudolph. A Framework of Quantum-inspired Multi-Objective Evolutionary Algorithms and its Convergence Condition, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 908, Vol. 1, ACM Press, London, UK, July 2007.
  1706. Xiaodong Li, Jürgen Branke and Michael Kirley. On Performance Metrics and Particle Swarm Methods for Dynamic Multiobjective Optimization Problems, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 576--583, IEEE Press, Singapore, September 2007.
  1707. Sheng-Tun Li, Chih-Chuan Chen and Jian Wei Li. A Multi-objective Particle Swarm Optimization Algorithm for Rule Discovery, in Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP 2007), pp. 597--600, IEEE Computer Society, Washington, DC, USA, November 26-28 2007.
  1708. Kangshun Li, Weifeng Pan, Wensheng Zhang, Zhangxin Chen. A Sequence Cipher Producing Method Based on Two-Layer Ranking Multi-Objective Evolutionary Algorithm, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 169--173, IEEE Service Center, Hong Kong, June 2008.
  1709. Miqing Li, Jinhua Zheng and Guixia Xiao. An Efficient Multi-Objective Evolutionary Algorithm Based on Minimum Spanning Tree, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 617-624, IEEE Service Center, Hong Kong, June 2008.
  1710. Miqing Li, Jinhua Zheng and Guixia Xiao. Uniformity Assessment for Evolutionary Multi-Objective Optimization, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 625--632, IEEE Service Center, Hong Kong, June 2008.
  1711. Li Li, Li Hong-Qi and Xie Shao-Long. Particle Swarm Multi_optimizer for Locating all Local Solutions, in 2008 Congress on Evolutionary Computation (CEC'2008), Hong Kong, pp. 1040--1046, IEEE Service Center, June 2008.
  1712. Lily D. Li, Xiaodong Li and Xinghuo Yu. A Multi-Objective Constraint-Handling Method with PSO Algorithm for Constrained Engineering Optimization Problems, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 1528--1535, IEEE Service Center, Hong Kong, June 2008.
  1713. Hui Li and Dario Landa-Silva. Evolutionary Multi-Objective Simulated Annealing with Adaptive and Competitive Search Direction, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3310--3317, IEEE Service Center, Hong Kong, June 2008.
  1714. Miqing Li, Jinhua Zheng and Jun Wu. Improving NSGA-II Algorithm Based on Minimum Spanning Tree, in Xiaodong Li, Michael Kirley, Mengjie Zhang, David G. Green, Victor Ciesielski, Hussein A. Abbass, Zbigniew Michalewicz, Tim Hendtlass, Kalyanmoy Deb, Kay Chen Tan, Jürgen Branke and Yuhui Shi (editors), Simulated Evolution and Learning (SEAL 2008), pp. 170--179, Springer. Lecture Notes in Computer Science, Vol. 5361, Melbourne, Australia, December 2008.
  1715. Yinghai Li, Jianzhong Zhou, Hui Qin, Youlin Lu and Junjie Yang. Adaptive Niche Multi-Objective Particle Swarm Optimization Algorithm, in Fourth International Conference on Natural Computation (ICNC 2008), pp. 418--422, IEEE Computer Society Press, Jinan, Shandong, China, October 18--20 2008.
  1716. Zhiyong Li, Songbing Liu, Degui Xiao, Jun Chen and Kenli Li. Multi-Objective Particle Swarm Optimization Algorithm Based on Game Strategies, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 287-294, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6.
  1717. J.P. Li and A. Wood. Random Search with Species Conservation for Multimodal Functions, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 3164--3171, IEEE Press, Trondheim, Norway, May, 2009.
  1718. ChengFei Li and DeMing Zuo. Fuzzy Multi-objective Particle Swarm Optimization Algorithm using Industrial Purified Terephthalic Acid Solvent Dehydration Process, in 2009 WRI World Congress on Computer Science and Information Engineering, pp. 215--219, IEEE Computer Society, Los Angeles, California, USA, March-April, 2009.
  1719. Jinzhong Li, Jintao Zeng, Jiewu Xia, Manhua Li and Changxin Liu. Research on Grid Workflow Scheduling Based on MOPSO Algorithm, in Global Congress on Intelligent Systems, 2009, pp. 199--203, IEEE, Xiamen, May 19-21, 2009.
  1720. Rui Li, Yirong Guo, Yujuan Xing and Ming Li. A Novel Multi-Swarm Particle Swarm Optimization algorithm Applied in Active Contour Model, in S. M. Zhou and W. Wang (editors), Proceedings of The 2009 WRI Global Congress on Intelligent Systems, pp. 139--143, IEEE Computer Society Press, Xiamen, China, May 19-21, 2009, ISBN 978-0-7695-3571-5.
  1721. Miqing Li, Jinhua Zheng, Ruimin Shen, Ke Li and Qizhao Yuan. A Grid-Based Fitness Strategy for Evolutionary Many-Objective Optimization, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 463--470, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.
  1722. Junqing Li and Quanke Pan. A hybrid Pareto-based local search for multi-objective flexible job shop scheduling problem, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 316--320, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1723. Xiaodong Li and Kalyanmoy Deb. Comparing lbest PSO niching algorithms using different position update rules, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 1564--1571, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1724. Hui Li, Dario Landa-Silva and Xavier Gandibleux. Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 2307--2314, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1725. Rong Li, Timothy R. Mersch, Oriana X. Wen, Assem Kaylani and Georgios C. Anagnostopoulos. Multi-objective memetic evolution of ART-based classifiers, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3353--3360, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1726. Jian-Ping Li, Xiao-Dong Li and Alastair Wood. Species based evolutionary algorithms for multimodal optimization: A brief review, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 4156--4163, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1727. Ke Li, Álvaro Fialho and Sam Kwong. Multi-Objective Differential Evolution with Adaptive Control of Parameters and Operators, in Carlos A. Coello Coello (editor), Learning and Intelligent Optimization, 5th International Conference, LION 5, pp. 473--487, Springer. Lecture Notes in Computer Science Vol. 6683, Rome, Italy, January 17-21, 2011.
  1728. Jie Li, Changwen Zheng and Xiaohui Hu. A Hypervolume Based Approach for Minimal Visual Coverage Shortest Path, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1777--1784, IEEE Service Center, New Orleans, Lousiana, USA, 5-8 June, 2011.
  1729. R. Li, R. Etemaadi, M.T.M Emmerich and M.R.V Chaudron. An Evolutionary Multiobjective Optimization Approach to Component-Based Software Architecture Design, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 432--439, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  1730. Wei-xing Li, Qian Zhou, Yu Zhu and Feng Pan. An Improved MOPSO with a Crowding Distance Based External Archive Maintenance Strategy, in Ying Tan, Yuhui Shi and Zhen Ji (editors), Advances in Swarm Intelligence, Third International Conference, ICSI 2012, pp. 74--82, Springer. Lecture Notes in Computer Science Vol. 7331, Shenzhen, China, June 17-20, 2012.
  1731. Hui Li, Xiaolei Su, Zongben Xu and Qingfu Zhang. MOEA/D with Iterative Thresholding Algorithm for Sparse Optimization Problems, in Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia and Mario Pavone (editors), Parallel Problem Solving from Nature - PPSN XII, 12th International Conference, pp. 93--101, Springer. Lecture Notes in Computer Science Vol. 7492, Taormina, Italy, September 1-5, 2012.
  1732. Yangyang Li, Jing Chen, Ruochen Liu and Jianshe Wu. A Spectral Clustering-Based Adaptive Hybrid Multi-Objective Harmony Search Algorithm for Community Detection, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 3602--3609, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1733. Jiaqi Li, X.Z. Gao, X. Wang and K. Zenger. A Multiple Local Search Strategy in Memetic Evolutionary Computation for Multi-objective Robust Control Design, in 2012 IEEE International Conference on Systems, Man, and Cybernetics, pp. 645--650, IEEE Press, Seoul, Korea, October 14-17, 2012. ISBN 978-1-4673-1714-6.
  1734. Simon J. Liang and John M. Lewis. Job Shop Scheduling Using Multiple Criteria. In Proceedings of the Joint Hungarian-British Mechatronic Conference, pages 77-82. Computational Mechanics, September 1994.
  1735. J.J. Liang, B.Y. Qu, P.N. Suganthan and B. Niu. Dynamic multi-swarm particle swarm optimization for multi-objective optimization problems, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 605--612, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1736. J.J. Liang, S.T. Ma, B.Y. Qu and B. Niu. Strategy adaptative memetic crowding differential evolution for multimodal optimization, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 2885--2891, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1737. H.L. Liao and Q.H. Wu. Multi-objective optimization by reinforcement learning, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3374--3381, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1738. Shu-Hsien Liao and Chia-Lin Hsieh. Integrated Location-Inventory REtail Supply Chain Design: A Multi-Objective Evolutionary Approach, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 533--542, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  1739. Peter Lichodzijewski and Malcolm I. Heywood. Pareto-Coevolutionary Genetic Programming for Problem Decomposition in Multi-Class Classification, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 464--471, Vol. 1, ACM Press, London, UK, July 2007.
  1740. Thomas Liddle, Mark Johnston and Mengjie Zhang. Multi-Objective Genetic Programming for object detection, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3345--3352, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1741. Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourdan and El-Ghazali Talbi. ParadisEO-MOEO: A Framework for Evolutionary Multi-objective Optimization, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 386--400, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  1742. Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourdan and El-Ghazali Talbi. Combinatorial Optimization of Stochastic Multi-objective Problems: An Application to the Flow-Shop Scheduling Problem, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 457--471, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  1743. Arnaud Liefooghe, Laetitia Jourdan, Matthieu Basseur, El-Ghazali Talbi and Edmund K. Burke. Metaheuristics for the Bi-objective Ring Star Problem, in Jano van Hemert and Carlos Cotta (editors), Evolutionary Computation in Combinatorial Optimization, 8th European Conference, EvoCOP 2008, pp. 206-217, Springer, Lecture Notes in Computer Science Vol. 4972, Naples, Italy, March 2008.
  1744. Arnaud Liefooghe, Laetitia Jourdan and El-Ghazali Talbi. A Unified Model for Evolutionary Multi-objective Optimization and its Implementation in. General Purpose Software Framework, in 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2009), pp. 88--95, IEEE Press, Nashville, TN, USA, March 30 - April 2 2009. ISBN 978-1-4244-2764-2.
  1745. Arnaud Liefooghe, Luís Paquete, Marcos Simões and José R. Figueira. Connectedness and Local Search for Bicriteria Knapsack Problems, in Peter Merz and Jin-Kao Hao (editors), Evolutionary Computation in Combinatorial Optimization, 11th European Conference, EvoCOP 2011, pp. 48--59, Springer. Lecture Notes in Computer Science Vol. 6622, Torino, Italy, April 27-29, 2011.
  1746. Marlon Paolo Lima, Eduardo G. Carrano and Ricardo H.C. Takahashi. Multiobjective planning of wireless local area networks (WLAN) using genetic algorithms, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 3506--3513, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1747. P. Limbourg and D. Germann. Reliability Assessment and Optimization under Uncertainty in the Dempster-Shafer Framework, in 27th ESReDA SEMINAR, Glasgow, UK, 2004.
  1748. Philipp Limbourg. Multi-objective Optimization of Problems with Epistemic Uncertainty, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 413--427, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1749. Philipp Limbourg and Daniel E. Salazar Aponte. An Optimization Algorithm for Imprecise Multi-Objective Problem Functions, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 459--466, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  1750. Dan Lin, Shouyang Wang and Hong Yan. A multiobjective genetic algorithm for portfolio selection, in Proceedings of ICOTA 2001, Hong Kong, December 2001.
  1751. Lin Lin and Mitsuo Gen. A Bicriteria Shortest Path Routing Problems by Hybird Genetic Alogrithm in Communication Networks, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 4577--4582, IEEE Press, Singapore, September 2007.
  1752. Jian-Yi Lin, Chun-Tian Cheng and Tao Lin. A Pareto Strength SCE-UA Algorithm for Reservoir Optimization Operation, in Fourth International Conference on Natural Computation (ICNC 2008), pp. 406-412, IEEE Computer Society Press, Jinan, Shandong, China, October 18--20 2008.
  1753. Chi-nien Lin, Chih-Li Huo, Shu-Yan Lin, Yu-Hsiang Yu and Tsung-Ying Sun. Taguchi-based disturbance with tournament selection to improve on MOPSO, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1805--1810, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  1754. Derek A. Linkens and H. Okola Nyongesa. A Distributed Genetic Algorithm for Multivariable Fuzzy Control, in IEE Colloquium on Genetic Algorithms for Control Systems Engineering, pp. 9/1--9/3, IEE, UK, 1993.
  1755. Shie-Yui Liong, Soon-Thiam Khu and Weng Tat Chan. Novel Application of Genetic Algorithm and Neural Network in Water Resources: Development of Pareto Front. In Eleventh Congress of the International Association for Hydraulic Research--Asia and Pacific Division, pages 185-194, Yogyakarta, Indonesia, 1998.
  1756. Shie-Yui Liong, Soon-Thiam Khu and Weng Tat Chan. Derivation of Pareto Front with Accelerated Convergence Genetic Algortithm (ACGA). In V. Babovic and L. C. Larsen, editors, Proceedings of the Third Hydroinformatics Conference, 1998.
  1757. Joanna Lis and A. E. Eiben. A Multi-Sexual Genetic Algorithm for Multiobjective Optimization, In Toshio Fukuda and Takeshi Furuhashi, editors, Proceedings of the 1996 International Conference on Evolutionary Computation, pages 59-64, Nagoya, Japan, 1996. IEEE.
  1758. Tamas R. Liszkai and Anne M. Raich. Solving Inverse Problems in Structural Damage Identification Using Advanced Genetic Algorithm Representations, in 6th World Congress of Structural and Multidisciplinary Optimization, Rio de Janeiro, Brazil, June 2005.
  1759. Tung-Kuan Liu, Tadashi Ishihara and Hikaru Inooka. Multiobjective Control Systems Design by Genetic Algorithms, In Proceedings of the 34th Society of Instrument and Control Engineers Annual Conference, pp. 1521--1526, 1995.
  1760. G.P. Liu and V. Kadirkamanathan. Learning with multi-objective criteria, in Fourth International Conference on Artificial Neural Networks, pp. 53--58, IEEE, 1995.
  1761. Tung-Kuan Liu, Tadashi Ishihara and Hikaru Inooka. Design of Discrete-Time Control Systems by Multiobjective Genetic Algorithms, In Toshio Fukuda and Takeshi Furuhashi, editors, Proceedings of the 1996 IEEE IECON 22nd International Conference on Industrial Electronics, Control and Instrumentation, pages 1618-1623. IEEE, 1996.
  1762. Juan Liu and Hitoshi Iba. Selecting Informative Genes Using a Multiobjective Evolutionary Algorithm, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 297--302, IEEE Service Center, Piscataway, New Jersey, May 2002.
  1763. Yang Liu, Soon-Thiam Khu and Dragon Savic. A Hybrid Optimization Method of Multi-objective Genetic Algorithm (MOGA) and K-Nearest Neighbor (KNN) Classifier for Hydrological Model Calibration, in Zheng Rong Yang, Richard Everson and Hujun Yin (editors), Intelligent Data Engineering and Automated Learning -- IDEAL 2004, 5th International Conference, pp. 546--551, Springer. Lecture Notes in Computer Science Vol. 3177, Exeter, UK, August 25-27, 2004.
  1764. Y. Liu, C. Zhou and W.J. Ye. A Fast Optimization Method of Using Nondominated Sorting Genetic Algorithm (NSGA-II) and 1-Nearest Neighbor (1NN) Classifier for Numerical Model Calibration, in 2005 IEEE International Conference on Granular Computing, pp. 544--549, IEEE Press, July 2005.
  1765. D. S. Liu, K. C. Tan, C. K. Goh and W. K. Ho. On Solving Multiobjective Bin Packing Problems using Particle Swarm Optimization, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 7448--7455, IEEE, Vancouver, BC, Canada, July 2006.
  1766. Wei Liu and Ming Liang. A Particle Swarm Optimization Approach to a Multi-objective Reconfigurable Machine Tool Design Problem, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 7986--7993, IEEE, Vancouver, BC, Canada, July 2006.
  1767. Hongbo Liu, Ajith Abraham, Okkyung Choi and Seong Hwan Moon. Variable Neighborhood Particle Swarm Optimization for Multi-objective Flexible Job-Shop Scheduling Problems, in Tzai-Der Wang, Xiaodong Li, Shu-Heng Chen, Xufa Wang, Hussein Abbass, Hitoshi Iba, Guoliang Chen and Xin Yao (editors), Simulated Evolution and Learning, 6th International Conference, SEAL 2006, pp. 197--204, Springer. Lecture Notes in Computer Science Vol. 4247, Hefei, China, October 2006.
  1768. Rui Liu, Sang-you Zeng, Lixin Ding, Lishan Kang, Hui Li, Yuping Chen, Yong Liu and Yueping Han. An Efficient Multi-Objective Evolutionary Algorithm for Combinational Circuit Design, in AHS'06: Proceedings of the first NASA/ESA conference on Adaptive Hardware and Systems, pp. 215--221, IEEE Computer Society, Istanbul, Turkey, June 2006.
  1769. G.P. Liu and X. Han. A micro multi-objective genetic algorithm for multi-objective optimizations, in G.D. Cheng, S.T. Liu and X. Guo (editors), CJK-OSM 4: The Fourth China-Japan-Korea Joint Symposium on Optimization of Structural and Mechanical Systems, pp. 419--424, Dalian University of Technology Press, Kunming, China, November 6-9, 2006.
  1770. D. S. Liu, K. C. Tan and W. K. Ho. A Distributed Co-Evolutionary Particle Swarm Optimization Algorithm, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3831--3838, IEEE Press, Singapore, September 2007.
  1771. Chun-an Liu. New multi-objective genetic algorithm for nonlinear constrained optimization problems, in 2007 IEEE International Conference on Automation and Logistics, pp. 118--120, IEEE Press, Jinan, China, August 18-21, 2007.
  1772. Li Liu and Wenbo Xu. A cooperative artificial immune network with particle swarm behavior for multimodal function optimization, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 1550--1555, IEEE Service Center, Hong Kong, June 2008.
  1773. Wudong Liu, Qingfu Zhang, Edward Tsang and Botond Virginas. Tchebycheff Approximation in Gaussian Process Model Composition for Multi-Objective Expensive Black Box, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3065-3070, IEEE Service Center, Hong Kong, June 2008.
  1774. Hai-lin Liu, Xueqiang Li and Yuqing Chen. Multi-Objective Evolutionary Algorithm Based on Dynamical Crossover and Mutation, in 2008 International Conference on Computational Intelligence and Security (CIS'2008), pp. 150--155, IEEE Computer Society, Suzhou, China, December, 2008.
  1775. Liu Liu, Minqiang Li and Lin Dan. An Exploratory Study on Dominance Resistant Solutions in Many Objectives Optimization, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 353-360, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6.
  1776. Hai-lin Liu and Xueqiang Li. The multiobjective evolutionary algorithm based on determined weight and sub-regional search, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1928--1934, IEEE Press, Trondheim, Norway, May, 2009.
  1777. Minzhong Liu, Xiufen Zou, Yu Chen and Zhijian Wu. Performance Assessment of DMOEA-DD with CEC 2009 MOEA Competition Test Instances, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2913--2918, IEEE Press, Trondheim, Norway, May, 2009.
  1778. Junwan Liu, Zhoujun Li and Yiming Chen. Microarray Data Biclustering with Multi-Objective Immune Algorithm, in Haiying Wang, Kay Soon Low, Kexin Wei, and Junqing Sun, (editors), Fifth International Conference on Natural Computation (ICNC'2009), pp. 200-204, IEEE Computer Society, Tianjian, China, August 14-16, 2009.
  1779. Liqin Liu, Xueliang Zhang, Liming Xie and Juan Du. A Novel Multi-Objective Particle Swarm Optimization based on Dynamic Crowding Distance, in 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2009), pp. 481--485, IEEE Computer Society, Shanghai, China, November 22-24, 2009.
  1780. Ruochen Liu, Wei Zhang, Licheng Jiao, Fang Liu and Jingjing Ma. A Sphere-Dominance Based Preference Immune-Inspired Algorithm for Dynamic Multi-Objective Optimization, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 423--430, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.
  1781. Bo Liu, Francisco V. Fernández, Qingfu Zhang, Murat Pak, Suha Sipahi and Goerges Gielen. An enhanced MOEA/D-DE and its application to multiobjective analog cell sizing, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 960--966, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1782. Jing Liu, Weicai Zhong, Hussein A. Abbass and David G. Green. Separated and Overlapping Community Detection in Complex Networks using Multiobjective Evolutionary Algorithms, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 4049--4055, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1783. Fang Liu, Maoguo Gong, Jingjing Ma, Licheng Jiao and Wei Zhang. Optimizing detector distribution in V-detector negative selection using a constrained multiobjective immune algorithm, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3643--3650, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1784. Jenn-Long Liu and Jiann-Horng Lin. Hostile area for facility monitoring with an optimal wireless sensor network deployment, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 2824--2831, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1785. Hai-lin Liu and Fangqing Gu. A Improved NSGA-II Algorithm Based on Sub-regional Search, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1906--1911, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  1786. Hai-lin Liu, Wen-qin Chen and Fangqing Gu. A novel multiobjective differential evolutionary algorithm based on subregion search, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 355--360, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1787. Ruochen Liu, Xiao Wang, Yangyang Li and Xiangrong Zhang. Multi-objective invasive weed optimization algorithm for clustering, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1556--1563, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1788. Ruochen Liu, Yong Liu and Yangyang Li. An improved method for multi-objective clustering ensemble algorithm, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 3293--3300, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1789. Hai-lin Liu and Dan Wang. A Constrained Multiobjective Evolutionary Algorithm based Decomposition and Temporary Register, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 3058--3063, IEEE Press, Cancún, México, 20-23 June, 2013.
  1790. Giovanni Lizárraga, Arturo Hernández and Salvador Botello.A Set of Test Cases for Performance Measures in Multiobjective Optimization, in Alexander F. Gelbukh and Eduardo F. Morales (editors) MICAI 2008: Advances in Artificial Intelligence, 7th Mexican International Conference on Artificial Intelligence, pp. 429--439, Springer. Lecture Notes in Computer Science Vol. 5317, Atizapán de Zaragoza, Mexico, October 27-31, 2008. ISBN 978-3-540-88635-8.
  1791. Giovanni Lizárraga, Arturo Hernández and Salvador Botello. Some Demonstrations about the Cardinality of Important Sets of Non-dominated Sets, in Alexander F. Gelbukh and Eduardo F. Morales (editors) MICAI 2008: Advances in Artificial Intelligence, 7th Mexican International Conference on Artificial Intelligence, pp. 440--450, Springer. Lecture Notes in Computer Science Vol. 5317, Atizapán de Zaragoza, Mexico, October 27-31, 2008. ISBN 978-3-540-88635-8.
  1792. Giovanni Lizárraga Lizárraga, Arturo Hernández Aguirre and Salvador Botello Rionda. G-Metric: an M-ary Quality Indicator for the Evaluation of Non-dominated Sets, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 665--672, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6.
  1793. Giovanni Lizárraga Lizárraga, Arturo Hernández Aguirre and Salvador Botello Rionda. On the Possibility to Create a Compatible-Complete Unary Comparison Method for Evolutionary Multiobjective Algorithms, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 759--760, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6.
  1794. Giovanni Lizárraga, Arturo Hernández and Salvador Botello. A benchmark for quality indicators in multi-objective optimization, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1833--1834, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .
  1795. Giovanni Lizárraga, Marco Jimenez Gomez, Mauricio Garza Castañon, Jorge Acevedo-Davila and Salvador Botello Rionda. Why Unary Quality Indicators Are Not Inferior to Binary Quality Indicators, in Arturo Hernández Aguirre, Raúl Monroy Borja and Carlos Alberto Reyes García (editors), MICAI 2009: Advances in Artificial Intelligence. 8th Mexican International Conference on Artificial Intelligence, pp. 646--657, Springer, Lecture Notes in Artificial Intelligence Vol. 5845, Guanajuato, México, November 2009.
  1796. Xavier Llorà, David E. Goldberg, Ivan Traus and Ester Bernadó. Accuracy, parsimony and generality in evolutionary learning systems via multiobjective selection, in Learning Classifier Systems, Springer, Lecture Notes in Artificial Intelligence Vol. 2661, pp. 118--142, 2002.
  1797. Xavier Llorà, Kumara Sastry, David E. Goldberg, Abhimanyu Gupta and Lalitha Lakshmi. Combating User Fatigue in iGAs: Partial Ordering, Support Vector Machines and Synthetic Fitness, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1363--1370, Vol. 2, ACM Press, New York, USA, June 2005.
  1798. Chi-Chun Lo and Wei-Hsin Chang. A Multiobjective Hybrid Genetic Algorithm for the Capacitated Multipoint Network Design Problem, in 1999 IEEE International Conference on Communications, Vol. 3, pp. 1573--1576, 1999.
  1799. Darrell F. Lochtefeld and Frank W. Ciarallo. Deterministic Helper-Objective Sequences Applied to Job-Shop Scheduling, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 431--438, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.
  1800. Hervé Locteau, Romain Raveaux, Sébastien Adam, Yves Lecourtier, Pierre Héroux and Eric Trupin. Approximation of digital curves using a multi-objective genetic algorithm, in 18th International Conference on Pattern Recognition (ICPR'06), pp. 716--719, IEEE Computer Society, Hong Kong, China, August 20-24, 2006, ISBN 0-7695-2521-0.
  1801. Jason D. Lohn, William F. Kraus and Gary L. Haith. Comparing a Coevolutionary Genetic Algorithm for Multiobjective Optimization, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1157--1162, IEEE Service Center, Piscataway, New Jersey, May 2002
  1802. Jason D. Lohn, William F. Kraus and Gregory S. Hornby. Multi-Objective Particle Swarm Optimization Algorithm for Scheduling in Flowshops to Minimize Makespan and Total Flowtime and Completion Time Variance. in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 4012-4018, IEEE Press, Singapore, September 2007.
  1803. Dome Lohpetch and David Corne. Multiobjective Algorithms for Financial Trading: Multiobjective Out-trades Single-Objective, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 192--199, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  1804. J. de Lope and D. Maravall. Multi-objective dynamic optimization for automatic parallel parking, in Computer Aided Systems Theory -- Eurocast 2005, pp. 513--518, Springer-Verlag. Lecture Notes in Computer Science Vol. 3643, 2005.
  1805. Manuel López-Ibáñez, Luís Paquete and Thomas Stützle. On the Design of ACO for the Biobjective Quadratic Assignment Problem, in Marco Dorigo, Mauro Birattari, Christian Blum, Luca M. Gambardella, Francesco Mondada and Thomas Stützle (editors), Proceedings of the 4th International Workshop on Ant Colony Optimization and Swarm Intelligence, ANTS 2004, Belgium, Springer, Lecture Notes in Computer Science, Vol. 3172, pp. 214--225, 2004.
  1806. Manuel López-Ibáñez, T. Devi Prasad and Ben Paechter. Multi-Objective Optimisation of the Pump Scheduling Problem using SPEA2, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 435--442, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  1807. Antonio López-Jaimes and Carlos Coello Coello. MRMOGA: Parallel Evolutionary Multiobjective Optimization using Multiple Resolutions, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2294--2301, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.
  1808. Antonio López Jaimes, Carlos A. Coello Coello and Debrup Chakraborty. Objective Reduction Using a Feature Selection Technique, 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 673--680, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6 .
  1809. Antonio López Jaimes and Carlos A. Coello Coello. Study of Preference Relations in Many-Objective Optimization, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 611--618, ACM Press, Montreal, Canada, July 8--12, 2009, ISBN 978-1-60558-325-9 .
  1810. Manuel López-Ibáñez and Thomas Stützle. An Analysis of Algorithmic Components for Multiobjective Ant Colony Optimization: A Case Study on the Biobjective TSP, in Artifical Evolution, 9th International Conference, Evolution Artificielle, EA 2009, pp. 134--145, Springer. Lecture Notes in Computer Science, Vol. 5975, Strasbourg, France, 2010, ISBN 978-3-642-14155-3.
  1811. Manuel López-Ibáñez and Thomas Stützle. Alternative Fitness Assignment Methods for Many-Objective Optimization Problems, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 71--78, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.
  1812. Antonio López Jaimes, Carlos A. Coello Coello, Hernán Aguirre and Kiyoshi Tanaka. Adaptive Objective Space Partitioning Using Conflict Information for Many-Objective Optimization, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 151--165, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  1813. Manuel López-Ibáñez and Joshua Knowles and Marco Laumanns. On Sequential Online Archiving of Objective Vectors, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 46--60, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  1814. Antonio López-Jaimes, Alfredo Arias-Montaño and Carlos A. Coello Coello. Preference Incorporation to Solve Many-Objective Airfoil Design Problems, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1605--1612, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  1815. Antonio López Jaimes, Akira Oyama and Kozo Fujii. Space Trajectory Design: Analysis of a Real-World Many-Objective Optimization Problem, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2809--2816, IEEE Press, Cancún, México, 20-23 June, 2013.
  1816. A. Loraschi, A. Tettamanzi, M. Tomassini and P. Verda. Distributed genetic algorithms with an application to portfolio selection problems, in N.C. Steele and R.F. Albrecht (editors), Artificial Neural Networks and Genetic Algorithms (ICANNGA'95), pp. 384--387, Springer, Wien, 1995.
  1817. Ilya Loshchilov, Marc Schoenauer and Michèle Sebag. A Mono Surrogate for Multiobjective Optimization, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 471--478, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.
  1818. Ilya Loshchilov, Marc Schoenauer and Michéle Sebag. Dominance-Based Pareto-Surrogate for Multi-Objective Optimization, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 230--239, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  1819. Ilya Loshchilov and Marc Schoenauer and Michèle Sebag. Not All Parents Are Equal For MO-CMA-ES, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 31--45, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  1820. Daniel H. Loughlin and S. Ranjithan. The Neighborhood constraint method: A Genetic Algorithm-Based Multiobjective Optimization Technique. In Thomas Bäck, editor, Proceedings of the Seventh International Conference on Genetic Algorithms, pages 666-673, San Mateo, California, July 1997. Michigan State University, Morgan Kaufmann Publishers.
  1821. Sushil J. Louis and Gregory J. E. Rawlins. Pareto optimality, GA-easiness and deception. In Stephanie Forrest, editor, Proceedings of the Fifth International Conference on Genetic Algorithms, pages 118-123, University of Illinois at Urbana-Champaign, 1993. Morgan Kaufmann Publishers.
  1822. Nuno Lourenço and Nuno Horta. GENOM-POF: Multi-Objective Evolutionary Synthesis of Analog ICs with Corners Validation, in 2012 Genetic and Evolutionary Computation Conference (GECCO'2012), pp. 1119--1126, ACM Press, Philadelphia, USA, July 2012, ISBN: 978-1-4503-1177-9.
  1823. Haiming Lu and Gary G. Yen. Multiobjective Optimization Design via Genetic Algorithm, in Proceedings of the 2001 International Conference on Control Applications, IEEE, pp. 1190--1195, 2001.
  1824. Haiming Lu and Gary G. Yen. Rank-Density Based Multiobjective Genetic Algorithm, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 944--949, IEEE Service Center, Piscataway, New Jersey, May 2002.
  1825. Haiming Lu and Gary G. Yen. Dynamic Population Size in Multiobjective Evolutionary Algorithms, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1648--1653, IEEE Service Center, Piscataway, New Jersey, May 2002.
  1826. Chun Lu, Qiangfu Zhao, Wenjiang Pei and Zhenya He, A Multiple Objective Optimization Based GA for Designing Interpretable and Comprehensible Neural Network Trees, in Proceedings of the IEEE International Conference on Neural Networks and Signal Processing (ICNNSP03), pp. 518--521, IEEE, December 2003.
  1827. N. Lu, L.C. Jiao, H.G. Du and M.G. Gong. IFMOA: Immune Forgetting Multiobjective Optimization Algorithm, in Lipo Wang and Ke Chen and Yew S. Ong (editors), Proceedings of the First International Conference on Advances in Natural Computation, ICNC 2005, Part III, pp. 399--408, Springer. Lecture Notes in Computer Science Vol. 3612, Changsha, China, August 2005.
  1828. Daniel Vitor de Lucena, Telma Woerle de Lima, Anderson da Silva Soares, Alexandre C. B. Delbem, Arlindo Rodrigues Galvão Filho, Clarimar José Coelho and Gustavo Teodoro Laureano. Multi-objective Evolutionary Algorithm for Variable Selection in Calibration Problems: A Case Study for Protein Concentration Prediction, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1053--1059, IEEE Press, Cancún, México, 20-23 June, 2013.
  1829. Martin Lukasiewycz, Michael Glaß, Christian Haubelt and J¨rgen Teich. Symbolic Archive Representation for a Fast Nondominance Test, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 111--125, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  1830. Martin Lukasiewycz, Michael Glaß, Felix Reimann and Jürgen Teich. Opt4j - A Modular Framework for Mete-heuristic Optimization, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 1723--1730, ACM Press, Dublin, Ireland, July 12-16, 2011.
  1831. Sean Luke and Liviu Panait. Lexicographic Parsimony Pressure, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 829--836, Morgan Kaufmann Publishers, San Francisco, California, July 2002.
  1832. Kai-Yew Lum, Pierre-Marie Jacquart and Mourad Sefrioui. Constrained Optimization of Multilayered Anti-Reflection Coatings using Genetic Algorithms, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 172--177, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.
  1833. Erika Hernández Luna, Carlos A. Coello Coello and Arturo Hernández Aguirre. On the Use of a Population-Based Particle Swarm Optimizer to Design Combinational Logic Circuits, in Ricardo S. Zebulum, David Gwaltney, Gregory Hornby, Didier Keymeulen, Jason Lohn and Adrian Stoica (editors), Proceedings of the 2004 NASA/DoD Conference on Evolvable Hardware, pp. 183--190, IEEE Computer Society, Los Alamitos, California, June 2004.
  1834. F. Luna, A.J. Nebro, B. Dorronsoro, E. Alba, P. Bouvry and L. Hogie. Optimal Broadcasting in Metropolitan MANETs Using Multiobjective Scatter Search, in Franz Rothlauf et al. (editors), Applications of Evolutionary Computing. EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART and EvoSTOC, pp. 255--266, Springer, Lecture Notes in Computer Science Vol. 3907, Budapest, Hungary, April 2006.
  1835. José María Luna, José Raúl Romero and Sebastián Ventura. G3PARM: A Grammar Guided Genetic Programming Algorithm for Mining Association Rules, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 2586--2593, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1836. Francisco Luna, Gustavo R. Zavala, Antonio J. Nebro, Juan J. Durillo and Carlos A. Coello Coello. Solving a Real-World Structural Optimization Problem With a Distributed SMS-EMOA Algorithm, 2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), pp. 600--605, IEEE Computer Society Press, Compiégne, France, October 28-30, 2013.
  1837. Rodica Lung and D. Dumitrescu. A New Evolutionary Model for Detecting Multiple Optima, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 1296--1303, Vol. 2, ACM Press, London, UK, July 2007.
  1838. Rodica Ioana Lung and D. Dumitrescu. A New Evolutionary Approach to Minimax Problems, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1902--1905, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  1839. Biao Luo and Jinhua Zheng. A New Methodology for Searching Robust Pareto Optimal Solutions with MOEAs, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 580--586, IEEE Service Center, Hong Kong, June 2008.
  1840. Biao Luo, Jinhua Zheng, Jiongliang Xie and Jun Wu. Dynamic Crowding Distance -- A New Diversity Maintenance Strategy for MOEAs, in Fourth International Conference on Natural Computation (ICNC 2008), pp. 580--585, Jinan, Shandong, China, IEEE Computer Society Press 2008.
  1841. Pei Luo, Qian Ma and Hui-xian Huang. Urban Trunk Road Traffic Signal Coordinated Control Based on Multi-Objective Immune Algorithm, in 2009 International Asia Conference on Informatics in Control, Automation and Robotics, pp. 72--76, IEEE Computer Society, Bangkok, Thailand, February, 2009.
  1842. Youxin Luo and Degang Liao, High Dimensional Multi-objective Grey Optimization of Planetary Gears Type AA with Hybrid Discrete Variables, in 2009 International Conference on Computational Intelligence and Natural Computing, Vol. 2, pp. 178--181, IEEE Computer Society Press, Los Alamitos, California, USA, 6-7 June 2009.
  1843. Hoang N. Luong and Peter A.N. Bosman. Elitist Archiving for Multi-Objective Evolutionary Algorithms: To Adapt or Not to Adapt, in Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia and Mario Pavone (editors), Parallel Problem Solving from Nature - PPSN XII, 12th International Conference, pp. 72--81, Springer. Lecture Notes in Computer Science Vol. 7492, Taormina, Italy, September 1-5, 2012.
  1844. Thibaut Lust. Speed-up Techniques for Solving Large-scale bTSP with the Two-Phase Pareto Local Search, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 761--762, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6.
  1845. Thibaut Lust, Jacques Teghem and Daniel Tuyttens. Very Large-Scale Neighborhood Search for Solving Multiobjective Combinatorial Optimization Problems, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 254--268, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  1846. Robert J. Lygoe, Mark Cary and Peter J. Fleming. A Many-Objective Optimisation Decision-Making Process Applied to Automotive Diesel Engine Calibration, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 638--646, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  1847. Naesung Lyu and Kazuhiro Saitou. Topology Optimization of Multi-Component Structures Via Decomposition-Based Assembly Synthesis, in Proceedings of the ASME 2003 Design Engineering Technical Conferences and Computers and Information in Engineering Conference (DETC'2003), Chicago, Illinois, September 2003.
  1848. Naesung Lyu and Kazuhiro Saitou. Decomposition-Based Assembly Synthesis of a 3D Body-in-White Model for Structural Stiffness, in Proceedings of the 2003 ASME International Mechanical Engineering Congress (IMECE'03), ASME Press, Washington, D.C., November 15--21, 2003.
  1849. M

  1850. Wenping Ma, Licheng Jiao, Maoguo Gong and Fang Liu. An Novel Artificial Immune System Multi-objective Optimization Algorithm for 0/1 Knapsack Problems, in Yue Hao et al. (editors), Computational Intelligence and Security. International Conference, CIS 2005, pp. 793--798, Springer, Lecture Notes in Artificial Intelligence Vol. 3801, Xi'an, China, December 2005.
  1851. M. Ma, L.B. Zhang, J. Ma and C.G. Zhou. Fuzzy neural network optimization by a particle swarm optimization algorithm, in Advances in Neural Networks--ISSN 2006, Part 1, pp. 752--761, Springer, Lecture Notes in Computer Science Vol. 3971, 2006.
  1852. Azahar T. Machwe and Ian C. Parmee. Multi-Objective Analysis of a Component Based Representation within an Interactive Evolutionary Design System, in I.C. Parmee (Editor), Adaptive Computing in Design and Manufacture 2006. Proceedings of the Seventh International Conference, pp. 217--222, The Institute for People-centred Computation, Bristol, UK, April 2006.
  1853. Núria Maciá, Albert Orriols-Puig and Ester Bernardó-Mansilla. EMO Shines a Light on the Holes of Complexity Space, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1907--1908, ACM Press, Montreal, Canada, July 8--12, 2009. ISBN 978-1-60558-325-9.
  1854. Núria Macià, Albert Orriols-Puig and Ester Bernadó-Mansilla. In Search of Targeted-Complexity Problems, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 1055--1062, ACM Press, Portland, Oregon, USA, July 7--11, 2010. ISBN 978-1-4503-0072-8.
  1855. Kenneth J. Mackin and Eiichiro Tazaki. Unsupervised training of Multiobjective Agent Communication using Genetic Programming, in Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technology, Vol. 2, pp. 738--741, IEEE, Brighton, UK, 2000.
  1856. Nateri K. Madavan. Multiobjective Optimization Using a Pareto Differential Evolution Approach, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1145--1150, IEEE Service Center, Piscataway, New Jersey, May 2002.
  1857. J.F. Aguilar Madeira, H. Rodrigues and Heitor Pina. Genetic Methods in Multi-objective Optimization of Structures with an Equality Constraint on Volume, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 767--781, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  1858. M. Mahfouf, M. F. Abbod and D. A. Linkens. Multi-Objective Genetic Optimization of the Performance Index of Self-Organizing Fuzzy Logic Control Algorithm Using a Fuzzy Ranking Approach. In H. J. Zimmerman, editor, Proceedings of the Sixth European Congress on Intelligent Techniques and Soft Computing, pages 1799-1808, Aachen, 1998. Verlag Mainz.
  1859. Mahdi Mahfouf, Min-You Chen and Derek Arturh Linkens. Adaptive Weighted Particle Swarm Optimisation for Multi-objective Optimal Design of Alloy Steels, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 762--771, Birmingham, UK, September 2004.
  1860. Paulo Maia, Isabel Rocha, Eugénio C. Ferreira and Miguel Rocha. Evaluating Evolutionary Multiobjective Algorithms for the in silico Optimization of Mutant Strains, in 8th IEEE International Conference on BioInformatics and BioEngineering, 2008 (BIBE'2008), pp. 1--6, IEEE Computer Society Press, Athens, Greece, October 8-10, 2008.
  1861. Renato Dourado Maia, Leandro Nunes de Castro and Walmir Matos Caminhas. Bee colonies as model for multimodal continuous optimization: the OptBees algorithm, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 3316--3323, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1862. R. Mäkinen, P. Neittaanmäki, J. Periaux, M. Sefrioui and J. Toivanen. Parallel genetic solution for multiobjective MDO, In A. Schiano, A. Ecer, J. Périaux and N. Satofuka, editors, Parallel CFD'96 Conference, pages 352-359, Capri, 1996. Elsevier.
  1863. R. Mäkinen, P. Neittaanmäki, J. Périaux and J. Toivanen. A genetic Algorithm for Multiobjective Design Optimization in Aerodynamics and Electromagnetics, In K. D. Papailiou et al., editor, Computational Fluid Dynamics '98, Proceedings of the ECCOMAS 98 Conference, volume 2, pages 418-422, Athens, Greece, September 1998. Wiley.
  1864. Dimitrios Makris, Ioannis Havoutis, Georges Miaoulis and Dimitri Plemenos. MultiCAD-MOGA A System for Conceptual Style Design of Buildings, in 9th International Conference on Computer Graphics and Artificial Intelligence, pp. 73--84, University of Limoges Press, Limoges, France, May 23-24, 2006, ISBN 978-2-914256-08-7.
  1865. J.M. Malard, A. Heredia-Langner, D.J. Baxter, K.H. Jarman and W.R. Cannon, Constrained De Novo Peptide Identification via Multi-objective Optimization, in Online Proceedings of the Third IEEE International Workshop on High Performance Computational Biology (HiCOMB 2004), Santa Fe, New Mexico, April 26, 2004.
  1866. Fermín Mallor-Gímenez, Rosa Blanco and Cristina Azcárate. Combining Linear Programming and Multiobjective Evolutionary Computation for Solving a Type of Stochastic Knapsack Problem, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 531--545, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  1867. Kuntinee Maneeratana, Kittipong Boonlong and Nachol Chaiyaratana. Multi-objective Optimisation by Co-operative Co-evolution, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 772--781, Birmingham, UK, September 2004.
  1868. Steven Manos and Leon Poladian. Novel Fibre Bragg Grating design using Multiobjective Evolutionary Algorithms, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 2089--2095, IEEE Press, Canberra, Australia, December 2003.
  1869. Steven Manos and Leon Poladian and Peter Bentley and Maryanne Large. Photonic Device Design Using Multiobjective Evolutionary Algorithms, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 636--650, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1870. Ester Bernardó i Mansilla and Josep Maria Garrell i Guiu. MOLeCS: A Multiobjective Learning Classifier System. In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), page 390, San Francisco, California, 2000. Morgan Kaufmann.
  1871. S.A. Mansouri, S.M. Moattar-Husseini and S.H. Zegordi. Multi-criterion Tackling Bottleneck Machines and Exceptional Parts in Cell Formation Using Genetic Algorithms, in I.C. Parmee (Editor), Proceedings of the Fifth International Conference on Adaptive Computing Design and Manufacture (ACDM 2002), pp. 181--192, Springer-Verlag, University of Exeter, Devon, UK, April 2002.
  1872. S. Afshin Mansouri, S. Hamed Hendizadeh and Nasser Salmasi. Bicriteria Two-Machine Flowshop Scheduling using Metaheuristics, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 909, Vol. 1, ACM Press, London, UK, July 2007.
  1873. A.H. Mantway and Mohammad M. Al-Muhaini. Multi-objective BPSO algorithm for distribution system expansion planning including Distributed Generation, in Transmission and Distribution Conference and Exposition, 2008, pp. 1--8, IEEE, Chicago, IL, April 21-24, 2008.
  1874. Jiangming Mao, Kotaro Hirasawa, Jinglu Hu and Junichi Murata.Genetic Symbiosis Algorithm for Multiobjective Optimization Problem, in Proceedings of the 9th IEEE International Workshop on Robot and Human Interactive Communication (RO-MAN 2000), IEEE, pp. 137--142, 2000.
  1875. Jiangming Mao, Kotaro Hirasawa, Jinglu Hu and Junichi Murata.Genetic Symbiosis Algorithm for Multiobjective Optimization Problems, Proceedings of the 2001 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 267--274, San Francisco, California, July 2001.
  1876. Jiangming Mao, Kotaro Hirasawa, Jinglu Hu and Junichi Murata.Genetic Symbiosis Algorithm for Multiobjective Optimization Problems, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 771, Morgan Kaufmann Publishers, San Francisco, California, July 2001.
  1877. Darío Maravall, Javier de Lope and Miguel ángel Patricio. Competitive Goal Coordination in Automatic Parking, in Günther R. Raidl et al. (editors), Applications of Evolutionary Computing. Proceedings of Evoworkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART and EvoSTOC, Springer. Lecture Notes in Computer Science, Volume 3005, pp. 537--548, Coimbra, Portugal, April 2004.
  1878. Michaël Marcozzi, Federico Divina, Jesús S. Aguilar-Ruiz and Wim Vanhoof. A Novel Probabilistic Encoding for EAs Applied to Biclustering of Microarray Data, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 339--346, ACM Press, Dublin, Ireland, July 12-16, 2011.
  1879. Teodor Marcu. A multiobjective evolutionary approach to pattern recognition for robust diagnosis of process faults. In R. J. Patton and J. Chen, editors, IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes: SAFEPROCESS'97, pages 1183-1188, Kington Upon Hull, United Kingdom, August 1997.
  1880. Teodor Marcu and Paul M. Frank. Parallel Evolutionary Approach to System Identification for Process Fault Diagnosis. In Prasad S. Dhurjati and Sylvie Cauvin, editors, Procedings of the IFAC Workshop on `On-line Fault Detection and Supervision in the Chemical Process Industries', pages 113-118, Solaize (Lyon), France, 1998.
  1881. T. Marcu, L. Ferariu and P. M. Frank. Genetic Evolving of Dynamic Neural Networks with Application to Process Fault Diagnosis. In Procedings of the EUCA/IFAC/IEEE European Control Conference ECC'99, Karlsruhe, Germany, 1999. CD-ROM, F-1046,1.
  1882. Simon Mardle, Sean Pascoe and Mehrdad Tamiz. An Investigation of Genetic Algorithms for the Optimization of Multiobjective Fisheries Bioeconomic Models. In Proceedings of the Third International Conference on Multi-Objective Programming and Goal Programming: Theory and Applications (MOPGP'98), Quebec City, Canada, 1998.
  1883. Carlos Eduardo Mariano Romero and Eduardo Morales Manzanares. MOAQ an Ant-Q Algorithm for Multiple Objective Optimization Problems. In W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela and R. E. Smith, editors, Genetic and Evolutionary Computing Conference (GECCO 99), volume 1, pages 894-901, San Francisco, California, July 1999. Morgan Kaufmann.
  1884. Carlos Eduardo Mariano Romero and Eduardo Morales Manzanares. A New Approach for the Solution of Multiple Objective Optimization Problems Based on Reinforcement Learning. In Osvaldo Cairo, L. Enrique Sucar and Francisco J. Cantu, editors, MICAI'2000: Advances in Artificial Intelligence, pages 212-223, Acapulco, México, April 2000. Springer-Verlag.
  1885. Carlos E. Mariano and Eduardo F. Morales. Distributed Reinforcement Learning for Multiple Objective Optimization Problems, In 2000 IEEE Congress on Evolutionary Computation, volume 1, pages 188-195, Piscataway, New Jersey, July 2000. IEEE Service Center.
  1886. Carlos E. Mariano and Eduardo F. Morales. MDQL: A Reinforcement Learning Approach for the Solution of Multiple Objective Optimization Problems, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.
  1887. Carlos E. Mariano, Víctor H. Alcocer and Eduardo Morales. Design of water-using Systems through a Multiobjective Approach, in Alwyn Barry (editor), 2003 Genetic and Evolutionary Computation Conference. Workshop Program, pp. 186--189, AAAI, Chicago, Illinois, USA, July 2003.
  1888. Carlos E. Mariano-Romero, Víctor Alcocer-Yamanaka and Eduardo F. Morales. Multiobjective Water Pinch Analysis of the Cuernavaca City Water Distribution Network, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 870--884, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1889. C. Mariano-Romero, V. Alcocer-Yamanaka and E.F. Morales. Incremental Refinement of Solutions for Multiple Objective Optimization Problems, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 910, Vol. 1, ACM Press, London, UK, July 2007.
  1890. Urszula Markowska-Kaczmar and Pawel Wnuk-Lipinski. Rule Extraction from Neural Network by Genetic Algorithm with Pareto Optimization, in Leszek Rutkowski, Jörg H. Siekmann, Ryszard Tadeusiewicz and Lotfi A. Zadeh (Editors), Artificial Intelligence and Soft Computing - ICAISC 2004, 7th International Conference. Proceedings, Springer. Lecture Notes in Computer Science Vol. 3070, pp. 450--455, Zakopane, Poland, June 2004.
  1891. Antonio Márquez and Francisco Alfredo Márquez and Antonio Peregrín. Cooperation between the Inference System and the Rule Base by Using Multiobjective Genetic Algorithms, in Emilio Corchado, Ajith Abraham and Witold Pedrycz (editors), Hybrid Artificial Intelligence Systems, Third International Workshop, HAIS 2008, pp. 739--746, Springer. Lecture Notes in Artificial Intelligence Vol. 5271, Burgos, Spain, September 24-26, 2008.
  1892. Marcus Märtens and Dario Izzo. The Asynchronous Island Model and NSGA-II: Study of a New Migration Operator and its Performance, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 1173--1180, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  1893. Luis Martí, Jesús García, Antonio Berlanga and José M. Molina. A Cumulative Evidential Stopping Criterion for Multiobjective Optimization Evolutionary Algorithms, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 911, Vol. 1, ACM Press, London, UK, July 2007.
  1894. Luis Martí, Jesús García, Antonio Berlanga and José M. Molina. Introducing MONEDA: Scalable Multiobjective Optimization with a Neural Estimation of Distribution Algorithm, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 689--696, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6.
  1895. Luis Martí, Jesús García, Antonio Berlanga and José M. Molina. Model-Building Algorithms for Multiobjective EDAs: Directions for Improvement, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 2848--2855, IEEE Service Center, Hong Kong, June 2008.
  1896. Luis Martí, Jesús García, Antonio Berlanga and José M. Molina. Solving complex high-dimensional problems with the multi-objective neural estimation of distribution algorithm, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 619--626, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .
  1897. Luis Martí, Jesús García, Antonio Berlanga and José M. Molina. An Approach to Stopping Criteria for Multi-objective Optimization Evolutionary Algorithms: The MGBM Criterion, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1263--1270, IEEE Press, Trondheim, Norway, May, 2009.
  1898. Luis Martì, Jesús Garcìa, Antonio Berlanga and José M. Molina. Moving Away From Error-Based Learning in Multi-Objective Estimation of Distribution Algorithms, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 545--546, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.
  1899. Luis Martí, Jesús García, Antonio Berlanga and José M. Molina. A Progress Indicator for Detecting Success and Failure in Evolutionary Multi-Objective Optimization, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 638--645, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1900. Luis Martí, Jesús García, Antonio Berlanga and José M. Molina. Advancing Model-Building for Many-Objective Optimization Estimation of Distribution Algorithms, in Cecilia Di Chio, Stefano Cagnoni, Carlos Cotta, Marc Ebner, Anikó Ekárt, Anna I. Esparcia-Alcazar, Chi-Keong Goh, Juan J. Merelo, Ferrante Neri, Mike Preuss, Julian Togelius and Georgios N. Yannakakis (editors), Applications of Evolutionary Computation, EvoApplications 2010: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM and EvoSTOC, pp. 512--521, Springer. Lecture Notes in Computer Science Vol. 6024, Istanbul, Turkey, April 7-9, 2010.
  1901. Luis Martí, Jesús García, Antonio Berlanga and José M. Molina. Multi-Objective Optimization with an Adaptive Resonance Theory-Based Estimation of Distribution algorithm: A Comparative Study, in Carlos A. Coello Coello (editor), Learning and Intelligent Optimization, 5th International Conference, LION 5, pp. 458--472, Springer. Lecture Notes in Computer Science Vol. 6683, Rome, Italy, January 17-21, 2011.
  1902. Luis Martí, Jesús García, Antonio Berlanga and José M. Molina. Indicator-based MONEDA: A Comparative Study of Scalability with Respect to Decision Space Dimensions, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 957--954, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  1903. Jean Paulo Martins, Antonio Helson Mineiro Soares, Danilo Vasconcellos Vargas and Alexandre Cláudio Botazzo Delbem. Multi-objective Phylogenetic Algorithm: Solving Multi-objective Decomposable Deceptive Problems, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 285--297, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  1904. M.A. Martinez, J. Sanchis and X. Blasco. Genetic algorithms for multiobjective controller design, in Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach. Part 2. Proceedings, Springer-Verlag, Lecture Notes in Computer Science Vol. 3562, pp. 242--251, 2005.
  1905. Flávio V. C. Martins, Eduardo G. Carrano, Elizabeth F. Wanner, Ricardo H. C. Takahashi and Geraldo R. Mateus. A Dynamic Multiobjective Hybrid Approach for Designing Wireless Sensor Networks, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1145--1152, IEEE Press, Trondheim, Norway, May, 2009.
  1906. Shivanajay Marwaha, Dipti Srinivasan, Chen Khong Tham and Athanasios Vasilakos. Evolutionary Fuzzy Multi-Objective Routing For Wireless Mobile Ad Hoc Networks, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1964--1971, Portland, Oregon, USA, June 2004.
  1907. Yamamoto Masafumi, Yoshikawa Tomohiro and Furuhashi Takeshi. Study on effect of MOGA with interactive island model using visualization, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 4196--4201, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1908. Tezuka Masaru and Hiji Masahiro. Genetic Algorithm for Supply Planning Optimization under Uncertain Demand, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 2337--2346, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003.
  1909. W. Mason, V. Coverstone-Carroll and J. Hartmann. Optimal Earth Orbiting Satellite Constellations via a Pareto Genetic Algorithm, In 1998 AIAA/AAS Astrodynamics Specialist Conference and Exhibit, pp. 169--177, Boston, Massachusetts, August 1998. Paper No. AIAA 98-4381.
  1910. Silvère Massebeuf, Christian Fonteix, Laszlo N. Kiss, Ivan Marc, Fernand Pla and Kazimierz Zaras. Multicriteria Optimization and Decision Engineering of an Extrusion Process Aided by a Diploid Genetic Algorithm, In 1999 Congress on Evolutionary Computation, pages 14-21, Washington, D.C., July 1999. IEEE Service Center.
  1911. Kazuaki Masuda, Kenta Ishikawa, Teruji Sekozawa and Kenso Kurihara. A Multiple Optimal Solutions Search Method by Using a Particle Swarm Optimization Algorithm Utilizing the Distribution of Personal Bests, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1999--2006, IEEE Press, Cancún, México, 20-23 June, 2013.
  1912. Nobukazu Matake and Tomoyuki Hiroyasu. Multiobjective Clustering with Automatic k-determination for Large-scale Data. Scalable automatic determination of the number of clusters, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 861--868, Vol. 1, ACM Press, London, UK, July 2007.
  1913. N.H. Mateou and M. Moiseos and A.S. Andreou. Multi-Objective Evolutionary Fuzzy Cognitive Maps for Decision Support, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 824--830, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  1914. M.A. Matos and Paulo Melo. Multiobjective Reconfiguration for Loss Reduction and Service Restorating Using Simulated Annealing, in International Conference on Electric Power Engineering, 1999 (PowerTech Budapest 99), pp. 213--218, IEEE, Budapest, Hungary, 1999.
  1915. Takeshi Matsui, Masatoshi Sakawa, Kosuke Kato, Takeshi Uno and Koichi Tamada. An interactive fuzzy satisficing method through particle swarm optimization for multiobjective nonlinear programming problems, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 71--76, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  1916. Keith B. Matthews, Susan Craw, Stewart Elder, Alan R. Sibbald and Ian MacKenzie. Applying Genetic Algorithms to Multi-Objective Land Use Planning, In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 613-620, San Francisco, California, 2000. Morgan Kaufmann.
  1917. K.B. Matthews, K. Buchan, A.R. Sibbald and Susan Craw. Using soft-systems methods to evaluate the outputs from multi-objective land use planning tools, in Proceedings of the 2002 iEMSs International Meeting, Vol. 3, pp. 247--252, International Environmental Modelling and Software Society, Lugano, Switzerland, June 2002.
  1918. Stephen G. Matthews, Mario A. Gongora and Adrian A. Hopgood. Evolving Temporal Fuzzy Association Rules from Quantitative Data with a Multi-Objective Evolutionary Algorithm, in Emilio Corchado, Marek Kurzynski and Michal Wozniak (editors), Hybrid Artificial Intelligent Systems, 6th International Conference, HAIS 2011, pp. 198--205, Springer. Lecture Notes in Computer Science Vol. 6678, Wroclaw, Poland, May 23-25, 2011.
  1919. Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, Michael Q. Zhang and Xuegong Zhang. Multiobjective Fuzzy Biclustering in Microarray Data: Method and a New Performance Measure, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 1536--1543, IEEE Service Center, Hong Kong, June 2008.
  1920. Marisa da Silva Maximiano, Miguel A. Vega-Rodríguez, Juan A. Gómez-Pulido and Juan M. Sánchez-Pérez. Parameter Analysis for Differential Evolution with Pareto Tournaments in a Multiobjective Frequency Assignment Problem, in Emilio Corchado and Hujun Yin (editors), Intelligent Data Engineering and Automated Learning - IDEAL 2009, 10th International Conference, pp. 799--806, Springer. Lecture Notes in Computer Science Vol. 5788, Burgos, Spain, September 23-26, 2009.
  1921. Michael Mazurek and Slawomir Wesolkowski. Fleet Mix Computation Using Evolutionary Multiobjective Optimization, in 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2009), pp. 46--50, IEEE Press, Nashville, TN, USA, March 30--April 2, 2009. ISBN 978-1-4244-2764-2.
  1922. Andrew McIntyre and Malcolm Heywood. MOGE: GP Classification Problem Decomposition using Multi-objective Optimization, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 863--870, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4.
  1923. Michelle McPartland, Stefano Nolfi and Hussein A. Abbass. Emergence of Communication in Competitive Multi-Agent Systems: A Pareto Multi-Objective Approach, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 51--58, Vol. 1, ACM Press, New York, USA, June 2005.
  1924. Kent McClymont and Ed Keedwell. Optimising multi-modal polynomial mutation operators for multi-objective problem classes, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3586--3593, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1925. Kent McClymont and Ed C. Keedwell. Markov Chain hyper-Heuristic (MCHH): an Online Selective Hyper-Heuristic for Multi-Objective Continuous Problems, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 2003--2010, ACM Press, Dublin, Ireland, July 12-16, 2011.
  1926. Kent McClymont and Ed Keedwell. Benchmark Multi-objective Optimisation Test Problems with Mixed Encodings, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2131--2138, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  1927. Trent McConaghy, Pieter Palmers, Georges Gielen and Michiel Steyaert. Simultaneous Multi-Topology Multi-Objective Sizing Across Thousands of Analog Circuit Topologies, in Proceedings of the 44th annual conference on Design automation (DAC'07), pp. 944--947, ACM Press, San Diego, California, USA, 2007.
  1928. Christopher McCubbin, David Scheidt, Oliver Bandte, Steven Marshall and Iavor Trifonov. Using Genetic Algorithms for Naval Subsystem Damage Assessment and Design Improvements, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 2114--2121, Vol. 2, ACM Press, London, UK, July 2007.
  1929. Andrés L. Medaglia, Eliécer Gutiérrez and Juan Guillermo Villegas. Solving Facility Location Problems with a Tool for Rapid Development of Multi-Objective Evolutionary Algorithms (MOEAs), in Jean-Philippe Rennard (editor), Handbook of Research on Nature Inspired Computing for Economy and Management, pp. 642--660, Vol. II, Idea Group Reference, Hershey, UK, 2006, ISBN 1-59140-984-5.
  1930. Miguel A. Medina, Swagatam Das, Carlos A. Coello Coello and Juan M. Ramirez. Two Decomposition-based Modern Metaheuristic Algorithms for Multi-objective Optimization - A Comparative Study, in Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2013), pp. 9--16, IEEE Press, Singapore, April 16--19, 2013.
  1931. Miguel A. Medina, Juan M. Ramírez and Carlos A. Coello Coello. A novel multi-objective optimizer for handling reactive power, in POWERTECH 2013, IEEE Press, Grenoble, France, 16-20 June 2013, ISBN 978-1-4673-5667-1.
  1932. J. Mehnen, Th. Michelitsch, Th. Bartz-Beilstein and N. Henkenjohann. Systematic Analyses of Multi-objective Evolutionary Algorithms Applied to Real-World Problems Using Statistical Design of Experiments, in R. Teti (editor), Intelligent Computation in Manufacturing Engineering, 4th CIRP International Seminar on Intelligent Computation in Manufacturing Engineering (CIRP ICME'04), pp. 171--178, Sorrento, Naples, Italy, June 30-July 2, 2004.
  1933. Jörn Mehnen and Heike Trautmann. Integration of expert preferences in Pareto optimization by desirability function techniques, in R. Teti (editor), Proceedings of the 5th CIRP international seminar on intelligent computation in manufacturing engineering (CIRP ICME'06), pp. 293--298, Ischia, Italy, July 2006.
  1934. Jörn Mehnen, Rajkumar Roy, Petra Kersting and Tobias Wagner. ICSPEA: Evolutionary Five-Axis Milling Path Optimisation, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 2122--2128, Vol. 2, ACM Press, London, UK, July 2007.
  1935. Jörn Mehnen, Heike Trautmann and Ashutosh Tiwari. Intorducing User Preference using Desirability Functions in Multiobjective Evolutionary Optimisation of Noisy Processes, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 2687--2694, IEEE Press, Singapore, September 2007.
  1936. Thorsten Meinl and Michael R. Berthold. Crossover operators for multiobjective k-subset selection, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1809-1810, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9.
  1937. C. Meloni, D. Naso and B. Turchiano. Multi-objective evolutionary algorithms for a class of sequencing problems in manufacturing environments, in Proceedings of the 2003 IEEE International Conference on Systems, Man and Cybernetics, Vol. 1, pp. 8--13, IEEE, October 2003.
  1938. Adriana Menchaca-Mendez and Carlos A. Coello Coello. A New Proposal to Hybridize the Nelder-Mead Method to a Differential Evolution Algorithm for Constrained Optimization, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2598--2605, IEEE Press, Trodheim, Norway, May 2009.
  1939. Adriana Menchaca-Mendez and Carlos A. Coello Coello. Solving Multi-Objective Optimization Problems using Differential Evolution and a Maximin Selection Criterion, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 3143--3150, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1940. Adriana Menchaca-Mendez and Carlos A. Coello Coello. A New Selection Mechanism Based on Hypervolume and its Locality Property, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 924--931, IEEE Press, Cancún, México, 20-23 June, 2013.
  1941. Joäo Batista Mendes and Joäo Antonio de Vasconcelos. Using an Adaptation of a Binary Search Tree to Improve The NSGA-II Nondominated Sorting Procedure, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 558--562, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  1942. Alexandre Mendes and Natashia Boland. Multi-objective Optimisation of Power Restoration in Electricity Distribution Systems, in Dianhui Wang and Mark Reynolds (editors), AI 2011: Advances in Artificial Intelligence, 24th Australasian Joint Conference, pp. 779--788, Springer. Lecture Notes in Artificial Intelligence Vol. 7106, Perth, Australia, December 5-8, 2011.
  1943. Bernadete M. Mendoça Neta, Gustavo H.D. Araújo, Federico G. Guimarães and Renato C. Mesquita. A Multiobjective Genetic Algorithm for Automatic Orthogonal Graph Drawing, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 925--932, ACM Press, Dublin, Ireland, July 12-16, 2011.
  1944. Alfredo Mendoza-Gonzalez, Eunice Ponce-de-Leon and Elva Diaz-Diaz. Classification Scheme of Multi-objective Estimation of Distribution Algorithms, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 3051--3057, IEEE Press, Cancún, México, 20-23 June, 2013.
  1945. Hector D. Menéndez, David F. Barrero and David Camacho. A Multi-Objective Genetic Graph-based Clustering Algorithm with Memory Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 3174--3181, IEEE Press, Cancún, México, 20-23 June, 2013.
  1946. Lara Menezes and André L.V. Coelho. On Ensembles of Biclusters Generated by NichePSO, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 601--607, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  1947. H.Y. Meng, X.H. Zhang and S.Y. Liu. Intelligent multiobjective particle swarm optimization based on AER model, in Progress in Artificial Intelligence, Proceedings, pp. 178--189, Springer, Lecture Notes in Artificial Intelligence Vol. 3808, 2005.
  1948. H.Y. Meng, X.H. Zhang and S.Y. Liu. A co-evolutionary particle swarm optimization-based method for multiobjective optimization, in AI 2005: Advances in Artificial Intelligence, pp. 349--359, Springer-Verlag, Lecture Notes in Artificial Intelligence Vol. 3809, 2005.
  1949. Hong-yun Meng, Xiao-hua Zhang and San-yang Liu. New Quality Measures for Multiobjective Programming, in Lipo Wang, Ke Chen and Yew Soon Ong (editors), Advances in Natural Computation, First International Conference, ICNC 2005, pp. 1044--1048, Springer. Lecture Notes in Computer Science Vol. 3611, Changsha, China, August 27-29, 2005.
  1950. Li Meng and Dingy Xue. Design of an optimal fractional-order PID controller using Multi-Objective GA optimization, in Chinese Control and Decision Conference, 2009 (CCDC'09), pp. 3849--3853, IEEE Computer Society Press, Shangai, China, June 17-19, 2009.
  1951. S. Meshoul, K. Mahdi and M. Batouche. A quantum inspired evolutionary framework for multi-objective optimization, in Progress in Artificial Intelligence, Proceedings, pp. 190--201, Springer, Lecture Notes in Artificial Intelligence, Vol. 3808, 2005.
  1952. S. Meshoul and M. Batouche. Aligning Images with Multiple Objectives, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 2067--2072, IEEE Service Center, Hong Kong, June 2008.
  1953. Olaf Mersmann, Heike Trautmann, Boris Naujoks and Claus Weihs. Benchmarking evolutionary multiobjective optimization algorithms, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 1311--1318, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1954. Herve Meunier, El-Ghazali Talbi and Philippe Reininger. A Multiobjective Genetic Algorithm for Radio Network Optimization, In 2000 IEEE Congress on Evolutionary Computation, volume 1, pages 317-324, Piscataway, New Jersey, July 2000. IEEE Service Center.
  1955. Mohand Mezmaz, Young Choon Lee, Nouredine Melab, El-Ghazali Talbi and Albert Y. Zomaya. A Bi-objective Hybrid Genetic Algorithm to Minimize Energy Consumption and Makespan for Precedence-constrained Applications Using Dynamic Voltage Scaling, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 25--32, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1956. X. R. Miao, P. M. Zhang, Z. H. Xu and C. H. Chen. Multi-objective Genetic Algorithm in IHSACC Optimization Design. In Artificial Intelligence and Soft Computing (ASC'99), Honolulu, Hawaii, August 1999. ACTA Press.
  1957. Konstantinos Michail, Argyrios C. Zolotas, Roger M. Goodall and John T. Pearson. MAGLEV suspensions - a sensor optimisation framework, in 16th Mediterranean Conference on Control and Automation (MED'08), pp. 1514-1519, IEEE, Ajaccio, Corsica, France, June 25-27 2008.
  1958. Konstantinos Michail, Argyrios C. Zolotas and Roger M. Goodall. Optimised sensor configurations for a Maglev suspension, in 17th IFAC World Congress, The International Federation of Automatic Control (IFAC), Seoul, Korea, July 6-11 2008.
  1959. Konstantinos Michail, Argyrios C. Zolotas, Roger M. Goodall and John T. Pearson. Sensor optimisation via H∞ applied to a MAGLEV suspension system, in WASET ICCAS 2008: International Conference on Control, Automation and Systems, World Academy of Science, Engineering and Technology, Prague, Czech Republic, July 25-27 2008.
  1960. Konstantinos Michail, Yimin Zhou, Argyrios Zolotas, Roger Goodall and George Halikias. Optimised Sensor Configurations with Reduced Order Controllers Applied to an EMS System, in Proceedings of the 29th Chinese Control Conference, pp. 3595--3600, IEEE Press, Beijing, China, 29--31 July 2010.
  1961. Konstantinos Michail, Argyrios Zolotas and Roger Goodall. An Optimum Sensor Selection Design Framework Applied to an Electro-Magnetic Suspension System, in IEEE Conference on Control and Fault-Tolerant Systems, pp. 684--689, IEEE Press, Nice, France, 6--8 October 2010.
  1962. E. Michielssen, J. M. Sajer and R. Mittra. Pareto-optimal design of broadband microwave absorbers using genetic algorithms, In Proceedings of the IEEE Antennas and Propagation Society International Symposium, volume 3, pages 1167-1170, Ann Arbor, Michigan, June 1993. IEEE.
  1963. Ingo Mierswa. Incorporating Fuzzy Knowledge Into Fitness: Multiobjective Evolutionary 3D Design of Process Plants, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1985--1992, Vol. 2, ACM Press, New York, USA, June 2005.
  1964. Ingo Mierswa and Michael Wurst. Information Preserving Multi-Objective Feature Selection for Unsupervised Learning, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1545--1552, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  1965. Ingo Mierswa. Controlling Overfitting with Multi-objective Support Vector Machines, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 1830--1837, Vol. 2, ACM Press, London, UK, July 2007.
  1966. Natasa B. Milickovic, Michael Lahanas, Maria Papagiannopoulou, Kostas Karovzakis, Dimos Baltas and Nikolakus Zamboglou. Application of Multiobjective Genetic Algorithms in Anatomy Based Dose Optimization in Brachytherapy and its Comparation with Deterministic Algorithms, 2001 Proceedinggs of the 23rd Annual EMBS International Conference, pp. 3919--3922, IEEE, Istanbul, Turkey, October 2001.
  1967. Yang Shu Min, Shao Dong Guo and Luo Yang Jie. Dynamic Archive Evolution Strategy for Multiobjective Optimization, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 135--149, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  1968. E. A. Minisci and G. Avanzini. Orbit Transfer Manoeuvres as a Test Benchmark for Comparison Metrics of Evolutionary Algorithms, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 350--357, IEEE Press, Trondheim, Norway, May 2009.
  1969. Edmondo Minisci and Massimiliano Vasile. Robust Design of a Re-Entry Unmanned Space Vehicle by Multi-Fidelity Evolution Control, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 689--696, ACM Press, Dublin, Ireland, July 12-16, 2011.
  1970. Gara Miranda, Jesica de Armas, Carlos Segura and Coromoto Leon. Hyperheuristic codification for the multi-objective 2D Guillotine Strip Packing Problem, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 2883--2890, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1971. Matteo Miraz, Pier Luca Lanzi and Luciano Baresi. TestFul: using a Hybrid Evolutionary Algorithm for Testing Stateful Systems, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1947--1948, ACM Press, Montreal, Canada, July 8--12, 2009. ISBN 978-1-60558-325-9.
  1972. Seyed Mohammed Mirghorbani, Masoud Rabbani, Reza Tavakkoli-Moghaddam and Alireza R. Rahimi-Vahed. A Multi-Objective Particle Swarm for a Mixed-Model Assembly Line Sequencing, in Karl Heinz Waldmann and Ulrike M. Stocker (editors), Operations Research Proceedings 2006, pp. 181--186, Springer, Saarbücken, Germany, 2007.
  1973. K. K. Mishra, Brajesh Kumar Singh, Akash Punhani and Lavkush Sharma. Optimizing Melting Rate and Fuel Consumption of Rotary Furnace Using NSGA-II, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3784--3788, IEEE Service Center, Hong Kong, June 2008.
  1974. Sudhansu Kumar Mishra, Ganapati Panda, Sukadev Meher and Ritanjali Majhi. Multiobjective Evolutionary Algorithms for Financial Portfolio Design, in International Joint Conference on Information and Communication Technology (IJcICT-2010), Interscience Institute of Management & Technology, Bhubaneswar, India, January 9-10, 2010.
  1975. George G. Mitchell, Diarmuid O'Donoghue and Adrian Trenaman. A New Operator for Efficient Evolutionary Solutions to the Travelling Salesman Problem. IASTED. Applied Informatics, Innsbruck, Austria, pages 98-103, 2000.
  1976. Shashi Mittal and Kalyanmoy Deb. Three-Dimentional Offline Path Planning for UAVs Using Multiobjective Evolutionary Algorithms, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3195--3202, IEEE Press, Singapore, September 2007.
  1977. Minami Miyakawa, Keiki Takadama and Hiroyuki Sato. Two-Stage Non-Dominated Sorting and Directed Mating for Solving Problems with Multi-Objectives and Constraints, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 647--654, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  1978. O. A. Mohammed and G. F. Üler. Genetic Algorithms for the Optimal Design of Electromagnetic Devices. In Conference on the Annual Review of Progress in Applied Computational Electromagnetics, volume 11, pages 386-393, 1995.
  1979. Atefeh Moghaddam, Farouk Yalaoui and Lionel Amodeo. Lorenz versus Pareto Dominance in a Single Machine Scheduling Problem with Rejection, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 520--534, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  1980. Atefeh Moghaddam, Farouk Yalaoui and Lionel Amodeo. An Efficient Meta-heuristic Based on Self-control Dominance Concept for a Bi-objective Re-entrant Scheduling Problem with Outsourcing, in Youssef Hamadi and Marc Schoenauer (editors), Learning and Intelligent Optimization, 6th International Conference, LION 6, pp. 467--471, Springer. Lecture Notes in Computer Science Vol. 7219, Paris, France, January 16-20, 2012.
  1981. Hans J.F. Moen and Harald Hovland. Spanning the Pareto Front of a Counter Radar Detection Problem, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 1835--1841, ACM Press, Dublin, Ireland, July 12-16, 2011.
  1982. A. Mohammadi, M.N. Omidvar and Xiaodong Li. Reference point based multi-objective optimization through decomposition, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1150--1157, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  1983. Asad Mohammadi, Mohammad Nabi Omidvar and Xiaodong Li. A New Performance Metric for User-preference Based Multi-objective Evolutionary Algorithms, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2825--2832, IEEE Press, Cancún, México, 20-23 June, 2013.
  1984. Chilukuri K. Mohan and Kishan G. Mehrotra. Reference Set Metrics for Multi-Objective Algorithms, in Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das and Suresh Chandra Satapathy (editors), Swarm, Evolutionary, and Memetic Computing, Second International Conference, SEMCCO 2011, pp. 723--730, Springer. Lecture Notes in Computer Science Vol. 7076, Visakhapatnam, Andhra Pradesh, India, December 19-21, 2011.
  1985. A. Molina-Cristobal, I.A. Griffin, P.J. Fleming and D.H. Owens. Multiobjective Control: A Comparative Study of a Multiobjective Genetic Algorithm and Linear Matrix Inequalities, in Proceedings of the Sixth Portuguese Conference on Automatic Control, CONTROLO 2004, Faro, Portugal, June 7-9, 2004.
  1986. A. Molina-Cristobal, I.A. Griffin, P.J. Fleming and D.H. Owens. Multiobjective Controller Design: Optimising Controller Structure with Genetic Algorithms, in Proceedings of the IFAC World Congress on Automatic Control, Prague,Czech Republic, July 4-8, 2005.
  1987. A. Molina-Cristobal, C. Papageorgiou, G. T. Parks, M. C. Smith and P. J. Clarkson. Multi-objective Controller Design: Evolutionary Algorithms and Bilinear Matrix Inequalities for a Passive Suspension, in Proceedings of the 13th IFAC Workshop on Control Applications of Optimisation, pp. 386--391, Paris-Cachan, France, April 2006.
  1988. Daniel Molina, Amilkar Puris, Rafael Bello and Francisco Herrera. Variable Mesh Optimization for the 2013 CEC Special Session Niching Methods for Multimodal Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 87--94, IEEE Press, Cancún, México, 20-23 June, 2013.
  1989. A.K. Molyneaux, G.B. Leyland and D. Favrat. A New, Clustering Evolutionary Multi-Objective Optimisation Technique. In Proceedings of the Third International Symposium on Adaptive Systems--Evolutionary Computation and Probabilistic Graphical Models, Institute of Cybernetics, Mathematics and Physics, pages 41--47, Havana, Cuba, March 19-23 2001.
  1990. David Montana, Marshall Brinn, Sean Moore and Garrett Bidwell. Genetic Algorithms for Complex, Real-Time Scheduling. In Proceedings of the 1998 IEEE International Conference on Systems, Man and Cybernetics, pages 2213-2218, La Jolla, California, October 1998. IEEE.
  1991. David Montana, Garrett Bidwell, Gordon Vidaver and Jose Herrero. Scheduling and Route Selection for Military Land Moves Using Genetic Algorithms. In 1999 Congress on Evolutionary Computation, volume 2, pages 1118-1123, Washington, D.C., July 1999. IEEE Service Center.
  1992. David Montana and Jason Radi. Optimizing Parameters of a Mobile Ad Hoc Network Protocol with a Genetic Algorithm, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1993--1998, Vol. 2, ACM Press, New York, USA, June 2005.
  1993. Sílvia M. D. Monteiro, Elizabeth F. G. Goldbarg and Marco C. Goldbarg. A New Transgenetic Approach for the Biobjective Spanning Tree Problem, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 519--526, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1994. Gilberto Montibeller and Hugo Yoshizaki. A Framework for Locating Logistic Facilities with Multi-Criteria Decision Analysis, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 505--519, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  1995. James Montgomery and Marcus Randall. Anti-pheromone as a Tool for Better Exploration of Search Space, in Marco Dorigo, Gianni Di Caro and Michael Sampels (editors), Ant Algorithms. Proceedings of the Third International Workshop, ANTS 2002, pp. 100--110, Springer. Lecture Notes in Computer Science, Vol. 2463, Brussels, Belgium, September 2002.
  1996. James Montgomery, Marcus Randall and Andrew Lewis. Differential Evolution for RFID Antenna Design A Comparison with Ant Colony Optimisation, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 673--680, ACM Press, Dublin, Ireland, July 12-16, 2011.
  1997. Chiung Moon, Yin-Zhen Lin and Mitsuo Gen. Evolutionary Algorithm for Flexible Process Sequencing with Multiple Objectives. In David B. Fogel, editor, Proceedings of the 1998 International Conference on Evolutionary Computation, pages 27-32, Piscataway, New Jersey, 1998. IEEE.
  1998. Jacqueline Moore, Richard Chapman and Gerry Dozier. Multiobjective Particle Swarm Optimization, in A. Joe Turner (editor), Proceedings of the 38th Annual Southeast Regional Conference, 2000, pp. 56--57, ACM Press, Clemson, South Carolina, USA, April 7-8, 2000.
  1999. A.M. Mora, J.J. Merelo, C. Millan, J. Torrecillas and J.L.J. Laredo. CHAC. A MOACO Algorithm for Computation of Bi-Criteria Military Unit Path in the Battlefield, in D.A. Pelta and N. Krasnogor (Editors), Proceedings of the First Workshop in Nature Inspired Cooperative Strategies for Optimization (NICSO'06), pp. 85--96, Granada, Spain, June 2006.
  2000. A. M. Mora, J. J. Merelo, C. Millan, J. Torrecillas, J.L.J. Laredo and P.A. Castillo. Enhancing a MOACO for Solving the Bi-criteria Pathfinding Problem for a Military Unit in a Realistic Battlefield, in Mario Giacobini et al. (Editors), Applications of Evolutionary Computing. EvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG, pp. 712--721, Springer. Lecture Notes in Computer Science Vol. 4448, Valencia, Spain, April 2007.
  2001. A. M. Mora, J. J. Merelo, P. A. Castillo, J. L. J. Laredo and C. Cotta. Influence of Parameters on the Performance of a MOACO Algorithm for Solving the Bi-Criteria Military Path-Finding Problem, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3506--3513, IEEE Service Center, Hong Kong, June 2008.
  2002. Antonio M. Mora, Pablo García-Sánchez, Juan J. Merelo and Pedro A. Castillo. Migration Study on a Pareto-based Island Model for MOACOs, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 57--64, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  2003. M. Davis Moradkhan and Will N. Browne. A Knowledge-Based Evolution Strategy for the Multi-Objective Minimum Spanning Tree Problem, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 5540--5547, IEEE, Vancouver, BC, Canada, July 2006.
  2004. Luis Fernando Morales Mendoza, Jose Luis Perez Escobedo, Catherine Azzaro-Pantel, Luc Pibouleau, Serge Domenech and Alberto Aguilar-Lasserre. Selecting The Best Portfolio Alternative From A Hybrid Multiobjective GA-MCDM Approach For New Product Development In The Pharmaceutical Industry, in 2011 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2011), pp. 159--166, IEEE Press, Paris, France, April 11-15, 2011, ISBN 978-1-61284-067-3.
  2005. David Morgan, Antony Waldock and David Corne. MOPC/D:A new Probability Collectives algorithm for Multiobjective Optimisation, in Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2013), pp. 17--24, IEEE Press, Singapore, April 16--19, 2013.
  2006. Naoki Mori, Junji Yoshida, Hisashi Tamaki, Hajime Kita and Yoshikazu Nishikawa. Thermodynamical Selection Rule for the Genetic Algorithm. In David B. Fogel, editor, Proceedings of the Second IEEE Conference on Evolutionary Computation, pages 188-192, Piscataway, New Jersey, 1995. IEEE Service Center.
  2007. Hiroyuki Mori and Yoshinori Yamada. An efficient Multi-objective Meta-heuristic Method for Distribution Network Expansion Planning, in 2007 IEEE Lausanne Power Tech, pp. 374--379, IEEE Computer Society, Lausanne, Switzerland, July 2007.
  2008. C. Morillo, G. Bugeda, D. S. Lee and S. Oller. Green Design and Multidisciplinary Optimization of Carbon Nanotube Composite Structures, in David Greiner, Blas Galván, Jacques Périaux, Nicolas Gauger, Kyriakos Giannakoglou and Gabriel Winter (Editors), Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2013), pp. 61--64, Universidad de las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain, October 7-9, 2013, ISBN 978-84-616-6249-4.
  2009. M. Morita, R. Sabourin, F. Bortolozzi and C.Y. Suen. Unsupervised Feature Selection Using Multi-Objective Genetic Algorithm for Handwritten Word Recognition, in Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR'2003), pp. 666--670, Edinburgh, Scotland, August 2003.
  2010. Ruby L.V. Moritz, Enrico Reich, Maik Schwarz, Matthias Bernt and Martin Middendorf. Refined Ranking Relations for Multi Objective Optimization and Application to P-ACO, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 65--72, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  2011. Irene Moser and Sanaz Mostaghim. The automotive deployment problem: A practical application for constrained multiobjective evolutionary optimisation, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 4272--4279, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2012. Irene Moser and James Montgomery. Population-ACO for the Automotive Deployment Problem, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 777--784, ACM Press, Dublin, Ireland, July 12-16, 2011.
  2013. Amiram Moshaiov and Gideon Avigad. Concept-based IEC for Multi-objective Search with Robustness to Human Preference Uncertainty, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 6784--6791, IEEE, Vancouver, BC, Canada, July 2006.
  2014. Amiram Moshaiov and Ariela Ashram-Wittenberg. Multi-objective Evolution of Robot Neuro-Controllers, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1093--1100, IEEE Press, Trondheim, Norway, May, 2009.
  2015. Amiram Moshaiov and Yafit Snir. Tailoring ε-MOEA to Concept-Based Problems, in Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia and Mario Pavone (editors), Parallel Problem Solving from Nature - PPSN XII, 12th International Conference, pp. 122--131, Springer. Lecture Notes in Computer Science Vol. 7492, Taormina, Italy, September 1-5, 2012.
  2016. David Mosnier, Frédéric Gillot, Antoine Ducloux and Mohamed Ichchou. Integrated Pre-Design Step Methodology Based on Multi-Objective Evolutionary Optimization, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 1317--1318, ACM Press, Portland, Oregon, USA, July 7--11, 2010. ISBN 978-1-4503-0072-8.
  2017. Sanaz Mostaghim, Jürgen Teich and Ambrish Tyagi. Comparison of Data Structures for Storing Pareto-sets in MOEAs, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 843--848, IEEE Service Center, Piscataway, New Jersey, May 2002.
  2018. Sanaz Mostaghim and Jürgen Teich. Strategies for Finding Good Local Guides in Multi-objective Particle Swarm Optimization (MOPSO), in 2003 IEEE Swarm Intelligence Symposium Proceedings, IEEE Service Center, pp. 26--33, Indianapolis, Indiana, USA, April 2003.
  2019. Sanaz Mostaghim and Jürgen Teich. The Role of ε-dominance in Multi Objective Particle Swarm Optimization Methods, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1764--1771, IEEE Press, Canberra, Australia, December 2003.
  2020. S. Mostaghim, M. Hoffmann, P.H. König, Th. Frauenheim and J. Teich. Molecular Force Field Parametrization using Multi-Objective Evolutionary Algorithms, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 212--219, Portland, Oregon, USA, June 2004.
  2021. Sanaz Mostaghim and Jürgen Teich. Covering Pareto-optimal Fronts by Subswarms in Multi-objective Particle Swarm Optimization, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1404--1411, Portland, Oregon, USA, June 2004.
  2022. Sanaz Mostaghim, Jürgen Branke and Hartmut Schmeck. Multi-Objective Particle Swarm Optimization on Computer Grids, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 869--875, Vol. 1, ACM Press, London, UK, July 2007.
  2023. Sanaz Mostaghim andrew Lewis Jürgen Branke and Hartmut Schmeck. Parallel Multi-Objective Optimization using Master-Slave Model on Heterogeneous Resources, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 1981--1987, IEEE Service Center, Hong Kong, June 2008.
  2024. Noura Al Moubayed, Andrei Petrovski and John McCall. Multi-Objective Optimisation of Cancer Chemotherapy usign Smart PSO with Decomposition, in 2011 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2011), pp. 81--88, IEEE Press, Paris, France, April 11-15, 2011, ISBN 978-1-61284-067-3.
  2025. Noura Al Moubayed, Andrei Petrovski and John McCall. D2MOPSO: Multi-Objective Particle Swarm Optimizer Based on Decomposition and Dominance, in Jin-Kao Hao and Martin Middendorf (editors), Evolutionary Computation in Combinatorial Optimization, 12th European Conference, EvoCOP 2012, pp. 75--86, Springer. Lecture Notes in Computer Science Vol. 7245, Málaga, Spain, April 11-13, 2012.
  2026. Noura Al Moubayed, Bashar Awwad Shiekh Hasan, John Q. Gan and Andrei Petrovski. Continuous Presentation for Multi-Objective Channel Selection in Brain-Computer Interfaces, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 3439--3445, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2027. Jean-Baptiste Mouret and Stéphane Doncieux. Using behavioral exploration objectives to solve deceptive problems in neuro-evolution, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 627--634, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9.
  2028. Jean-Baptiste Mouret and Stéphane Doncieux. Overcoming the bootstrap problem in evolutionary robotics using behavioral diversity, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1161--1168, IEEE Press, Trondheim, Norway, May, 2009.
  2029. Jean-Baptiste Mouret. Novelty-based Multiobjectivization, in Exploring New Horizons in Evolutionary Design of Robots, St. Louis, Missouri, USA, October 11, 2009.
  2030. Jean-Baptiste Mouret and Stéphane Doncieux. Sferesv2: Evolvin' in the Multi-Core World, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 4079--4086, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2031. Amitabha Mukerjee and Madan Mohan Dabbeeru. Multi-objective functional analysis for product portfolio optimization, in 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2009), pp. 96--103, IEEE Press, Nashville, TN, USA, March 30--April 2 2009. ISBN 978-1-4244-2764-2.
  2032. Anirban Mukhopadhyay and Ujjwal Maulik. Multiobjective Approach to Categorical Data Clustering, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 1296--1303, IEEE Press, Singapore, September 2007.
  2033. Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay and Ujjwal Maulik. Combining Multiobjective Fuzzy Clustering and Probabilistic ANN Classifier for Unsupervised Pattern Classification: Application to Satellite Image Segmentation, in 2008 Congress on Evolutionary Computation (CEC'2008), Hong Kong, pp. 877--883, IEEE Service Center, June 2008.
  2034. Anirban Mukhopadhyay, Ujjwal Maulik and Sanghamitra Bandyopadhyay. Improving Multi-objective Clustering Through Support Vector Machine: Application to Gene Expression Data, in 2008 IEEE Region 10 Conference: TENCON 2008, pp. 1364--1369, IEEE Press, Hyderabad, India, November 19-21, 2008.
  2035. Anirban Mukhopadhyay, Ujjwal Maulik and Sanghamitra Bandyopadhyay. Unsupervised Cancer Classification through SVM-Boosted Multiobjective Fuzzy Clustering with Majority Voting Ensemble, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 255--261, IEEE Press, Trondheim, Norway, May 2009.
  2036. Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay and Ujjwal Maulik. Analysis of Microarray Data using Multiobjective Variable String Length Genetic Fuzzy Clustering, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1313--1319, IEEE Press, Trondheim, Norway, May, 2009.
  2037. Anirban Mukhopadhyay, Ujjwal Maulik and Sanghamitra Bandyopadhyay. Multiobjective Genetic Clustering with Ensemble Among Pareto Front Solutions: Application to MRI Brain Image Segmentation, in 2009 Seventh International Conference on Advances in Pattern Recognition (ICAPR '09), pp. 236--239, IEEE Computer Society Press, Los Alamitos, CA, USA, February 4-6, 2009.
  2038. Anirban Mukhopadhyay, Ujjwal Maulik and Sanghamitra Bandyopadhyay. Simultaneous informative gene selection and clustering through multiobjective optimization, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 4110--4117, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2039. Silla Mullei and Peter Beling. Hybrid Evolutionary Algorithms for a Multiobjective Financial Problem, In Proceedings of the 1998 IEEE International Conference on Systems, Man and Cybernetics, Vol. 4, pages 3925--3930. IEEE, October 1998.
  2040. Sibylle D. Müller, Ivo F. Sbalzarini, Jens H. Walther and Petros D. Koumoutsakos. Evolution Strategies for the Optimization of Microdevices, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, pp. 302--309, IEEE Service Center, Piscataway, New Jersey, 2001.
  2041. Christine L. Mumford (Valenzuela). Comparing Representations and Recombination Operators for the Multi-Objective 0/1 Knapsack Problem, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 854--861, IEEE Press, Canberra, Australia, December 2003.
  2042. Christine L. Mumford. Simple Population Replacement Strategies for a Steady-State Multi-objective Evolutionary Algorithm, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 1246--1258, Seattle, Washington, USA, June 2004.
  2043. Christine L. Mumford. A Hierarchical Evolutionary Approach to Multi-Objective Optimization, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1944--1951, Portland, Oregon, USA, June 2004.
  2044. Christine Mumford. A Hierarchical Solve-and-Merge Framework for Multi-Objective Optimization, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2241--2247, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.
  2045. Christine L. Mumford. New Heuristic and Evolutionary Operators for the Multi-Objective Urban Transit Routing Problem, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 939--946, IEEE Press, Cancún, México, 20-23 June, 2013.
  2046. J. Munoz-Paniagua, J. García and A. Crespo. Multi-objective aerodynamic optimization of high-speed trains tunnels, in David Greiner, Blas Galván, Jacques Périaux, Nicolas Gauger, Kyriakos Giannakoglou and Gabriel Winter (Editors), Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2013), pp. 102--104, Universidad de las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain, October 7-9, 2013, ISBN 978-84-616-6249-4.
  2047. Tadahiko Murata and Hisao Ishibuchi. MOGA: Multi-Objective Genetic Algorithms. In Proceedings of the 2nd IEEE International Conference on Evolutionary Computing, pages 289-294, Perth, Australia, November 1995.
  2048. Tadahiko Murata and Hisao Ishibuchi. Application of Two-Objective Genetic Algorithm to Flowshop Scheduling Problems with Interval Processing Time. In Proceedings of EUFIT'96, pages 443-447, Aachen, Germany, September 1996.
  2049. Tadahiko Murata and Hisao Ishibuchi. Performance of Multi-Objective Genetic Algorithms for Flowshop Scheduling Problems. In Proceedings of the 14th International Conference on Production Research, pages 498-501, Osaka, Japan, August 1997.
  2050. Tadahiko Murata and Hisao Ishibuchi. Constructing Multi-Objective Genetic Local Search Algorithms for Multi-Objective Flowshop Scheduling Problems. In Proceedings of the 1998 Japan-USA Symposium on Flexible Automation, pages 1353-1356, Ohtsu, Japan, July 1998.
  2051. Tadahiko Murata, Hisao Ishibuchi and Mitsuo Gen. Random Weights in Multi-Objective Genetic Algorithms. In Proceedings of the 2nd International Conference on Engineering Design and Automation, Maui, Hawaii, August 1998. Only CD-ROM Proceedings available.
  2052. Tadahiko Murata, Hisao Ishibuchi and Mitsuo Gen. Specification of Local Search Directions in Genetic Local Search Algorithms for Multi-Objective Optimization Problems. In W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela and R. E. Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'99), volume 1, pages 441-448, San Francisco, California, July 1999. Morgan Kaufmann.
  2053. Tadahiko Murata, Hisao Ishibuchi and Mitsuo Gen. Cellular Genetic Local Search for Multi-Objective Optimization. In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 307-314, San Francisco, California, 2000. Morgan Kaufmann.
  2054. Tadahiko Murata, Shuhei Kawakami, Hiroyuki Nozawa, Mitsuo Gen and Hisao Ishibuchi.Three-Objective Genetic Algorithms for Designing Compact Fuzzy Rule-Based Systems for Pattern Classification Problems, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 485--492, Morgan Kaufmann Publishers, San Francisco, California, July 2001.
  2055. Tadahiko Murata, Hiroyuki Nozawa, Yasuhiro Tsujimura, Mitsuo Gen and Hisao Ishibuchi. Effect of Local Search on the Performance of Cellular Multi-Objective Genetic Algorithms for Designing Fuzzy Rule-based Classification Systems, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 663--668, IEEE Service Center, Piscataway, New Jersey, May 2002
  2056. Tadahiko Murata, Hiroyuki Nozawa, Hisao Ishibuchi and Mitsuo Gen. Modifications of Local Search Directions for Non-dominated Solutions in Cellular Multiobjective Genetic Algorithms for Pattern Classification Problems, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 593--607, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  2057. Tadahiko Murata, Shiori Kaige and Hisao Ishibuchi. Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 1234--1245, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003.
  2058. Tadahiko Murata and Ryota Itai. Multi-objective Vehicle Routing Problems using Two-Fold EMO Algorithms to Enhance Solution Similarity on Non-dominated Solutions, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 885--896, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  2059. Tadahiko Murata and Ryota Itai. Local Search in Two-Fold EMO Algorithm to Enhance Solution Similarity for Multi-objective Vehicle Routing Problems, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 201--215, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  2060. Tadahiko Murata and Akinori Taki. Many-Objective Optimization for Knapsack Problems Using Correlation-Based Weighted Sum Approach, in 2010 10th International Conference on Hybrid Intelligent Systems (HIS'2010), pp. 175--180, IEEE Press, Atlanta, Georgia, USA, 23-25 August 2010.
  2061. N

  2062. Kaustuv Nag and Tandra Pal. A new archive based steady state genetic algorithm, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 853--859, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2063. Réka Nagy, D. Dumitrescu and Rodica Ioana Lung. Fuzzy Equilibria for Games Involving n > 2 Players, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2655--2661, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  2064. Réka Nagy, Mihai Suciu And D. Dumitrescu. Lorenz Equilibrium Equitability in non-Cooperative Games, in 2012 Genetic and Evolutionary Computation Conference (GECCO'2012), pp. 489--496, ACM Press, Philadelphia, USA, July 2012, ISBN: 978-1-4503-1177-9.
  2065. Réka Nagy, Noémi Gaskó, Rodica Ioana Lung and D. Dumitrescu. Between Selfishness and Altruism: Fuzzy Nash-Berge-Zhukovskii Equilibrium, in Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia and Mario Pavone (editors), Parallel Problem Solving from Nature - PPSN XII, 12th International Conference, pp. 500--509, Springer. Lecture Notes in Computer Science Vol. 7491, Taormina, Italy, September 1-5, 2012.
  2066. Pawan K.S. Nain and Kalyanmoy Deb. Computationally Effective Search and Optimization Procedure Using Coarse to Fine Approximations, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 2081--2088, IEEE Press, Canberra, Australia, December 2003.
  2067. P.K.S. Nain, S. Sharma and J.M. Giri. Non-dimensional Multi-Objective Performance Optimization of Single Stage Thermoelectric Cooler, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 404--413, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  2068. Md. Nasir, A.K. Mondal, S. Sengupta, Swagatam Das and Ajith Abraham. An Improved Multiobjective Evolutionary Algorithm based on Decomposition with Fuzzy Dominance, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 765--772, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  2069. Md. Nasir, Soumyadip Sengupta, Swagatam Das and P.N. Suganthan. , in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 2363--2370, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2070. Hirotaka Nakayama and Yeboon Yun. Combining Aspiration Level Methods in Multi-objective Programming and Sequential Approximate Optimization using Computational Intelligence, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 319--324, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  2071. Dongkyung Nam, Yun Deuk Seo, Lae-Jeong Park, Cheol Hoon Park and Bumsup Kim. Parameter Optimization of a Voltage Reference Circuit using EP. In David B. Fogel, editor, Proceedings of the 1998 International Conference on Evolutionary Computation, pages 245-266, Piscataway, New Jersey, 1998. IEEE.
  2072. Dongkyung Nam and Cheol Hoon Park. Pareto-Based Cost Simulated Annealing for Multiobjective Optimization, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 522--526, Vol. 2, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.
  2073. Nobuo Namura, Shigeru Obayashi and Shinkyu Jeong. Surrogate-Based Multi-Objective Optimization and Data Mining of Vortex Generators on a Transonic Infinite-Wing, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2910--2917, IEEE Press, Cancún, México, 20-23 June, 2013.
  2074. Arup Kumar Nandi and Shubhabrata Data. Multi-Objective optimization of Particle Reinforced Silicone Rubber Mould Material for Soft Tooling Process, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 414--423, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  2075. S. Narayanan and S. Azarm. On Improving Multiobjective Genetic Algorithms for Design Optimization,In Proceedings of the Third World Congress of Structural and Multidisciplinary Optimization (WCSMO), Buffalo, New York, May 1999.
  2076. Boris Naujoks, Werner Haase, Jörg Ziegenhirt and Thomas Bäck. Multi Objective Airfoil Design using Single Parent Populations, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 1156--1163, Morgan Kaufmann Publishers, San Francisco, California, July 2002.
  2077. Boris Naujoks, Lars Willmes, Thomas Bäck and Werner Haase. Evaluating Multi-criteria Evolutionary Algorithms for Airfoil Optimization, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 841--850, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002.
  2078. Boris Naujoks, Nicola Beume and Michael Emmerich. Multi-objective Optimization using S-metric Selection: Application to three-dimensional Solution Spaces, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1282--1289, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.
  2079. Boris Naujoks and Heike Trautmann. Online Convergence Detection for Multiobjective Aerodynamic Applications, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 332--339, IEEE Press, Trondheim, Norway, May 2009.
  2080. Prospero C. Naval, Luis G. Sison and Eduardo R. Mendoza. Parameter Estimation with Term-wise Decomposition in Biochemical Network GMA Models by Hybrid Regularized Least Squares-Particle Swarm Optimization, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3696--3703, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2081. Jorge S. Navarro, José A. Moreno and Néstor Carrasquero. Evolutionary Multi-Objective Optimization of Simulation Models. In Alberto A. Ochoa Rodrıguez, Marta R. Soto Ortiz and Roberto Santana Hermida, editors, Second International Symposium on Artificial Intelligence (Adaptive Systems), ISAS'99, pages 242-250, La Havana, Cuba, 1999. Editorial Academia.
  2082. Alireza Nazemi, Xin Yao and Andrew H. Chan. Extracting a Set of Robust Pareto-Optimal Parameters for Hydrological Models using NSGA-II and SCEM, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 6792--6799, IEEE, Vancouver, BC, Canada, July 2006.
  2083. Antonio J. Nebro, Francisco Luna and Enrique Alba. New Ideas in Applying Scatter Search to Multiobjective Optimization, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 443--458, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  2084. Antonio J. Nebro, Juan J. Durillo, Francisco Luna, Bernabé Dorronsoro and Enrique Alba. A Cellular Genetic Algorithm for Multiobjective Optimization, in David A. Pelta and Natalio Krasnogor (editors), Proceedings of the Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO 2006), pp. 25--36, Granada, Spain, 2006.
  2085. Antonio J. Nebro, Juan J. Durillo, Francisco Luna, Bernabé Dorronsoro and Enrique Alba. Design Issues in a Multiobjective Cellular Genetic Algorithm, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 126--140, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  2086. Antonio J. Nebro, Enrique Alba, Guillermo Molina, Francisco Chicano, Francisco Luna and Juan J. Durillo. Optimal Antenna Placement Using a New Multi-Objective CHC Algorithm, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 876--883, Vol. 1, ACM Press, London, UK, July 2007.
  2087. Antonio J. Nebro, Juan J. Durillo, Jose Garcia-Nieto, Carlos A. Coello Coello, Francisco Luna and E. Alba. SMPSO:. New PSO-based Metaheuristic for Multi-objective Optimization, in 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2009), pp. 66--73, IEEE Press, Nashville, TN, USA, March 30 - April 2 2009. ISBN 978-1-4244-2764-2 .
  2088. Antonio J. Nebro, Juan J. Durillo and Carlos A. Coello Coello. Analysis of Leader Selection Strategies in a Multi-Objective Particle Swarm Optimizer, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 3153--3160, IEEE Press, Cancún, México, 20-23 June, 2013.
  2089. Nadia Nedjah and Luiza de Macedo Mourelle. Multi-Objective Evolutionary Hardware for RSA-Based Cryptosystems, in Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04), IEEE, Vol. 2, pp. 503--507, Las Vegas, Nevada, April 2004.
  2090. Nadia Nedjah and Luiza M. Mourelle. Secure Evolutionary Hardware for Public-Key Cryptosystems, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 2130--2137, Portland, Oregon, USA, June 2004.
  2091. N. Nedjah and L.D.M. Mourelle. Pareto-optimal hardware for digital circuits using SPEA, in Innovations in Applied Artificial Intelligence, Springer-Verlag, Lecture Notes in Artificial Intelligence Vol. 3533, pp. 594--604, 2005.
  2092. Martijn Neef, Dirk Thierens and Henryk Arciszewski. A Case Study of a Multiobjective Recombinative Genetic Algorithm with Coevolutionary Sharing, In 1999 Congress on Evolutionary Computation, pages 796-803, Washington, D.C., July 1999. IEEE Service Center.
  2093. Mircea Gh. Negoita and Dragos Arotaritei. A GA with Variable Length Chromosomes for Optimization Objectives of Fuzzy Recurrent NN, in Alwyn Barry (editor), 2003 Genetic and Evolutionary Computation Conference. Workshop Program, pp. 208--213, AAAI, Chicago, Illinois, USA, July 2003.
  2094. Marian Nemec, David W. Zingg and Thomas H. Pulliam. Multi-Point and Multi-Objective Aerodynamic Shape Optimization, in 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Paper AIAA 2002-5548, Atlantla, Georgia, USA, September 2002.
  2095. Kourosh Neshatian and Mengjie Zhang. Pareto Front Feature Selection: Using Genetic Programming to Explore Feature Space, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1027--1034, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .
  2096. Antonino Feitosa Neto, Anne M.P. Canuto, Elizabeth F.G. Goldbarg and Marco C. Goldbarg. Optimization Techniques for the Selection of Members and Attributes in Ensemble Systems, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1912--1919, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  2097. Frank Neumann. Expected Runtimes of a Simple Evolutionary Algorithm for the Multi-objective Minimum Spanning Tree Problem, in Xin Yao et al. (editors), Parallel Problem Solving from Nature---PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science Vol. 3242, pp. 81--90, Birmingham, UK, September 2004.
  2098. Frank Neumann and Ingo Wegener. Minimum Spanning Trees Made Easier Via Multi-Objective Optimization, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 763--769, Vol. 1, ACM Press, New York, USA, June 2005.
  2099. Frank Neumann. Computational Complexity Analysis of Multi-Objective Genetic Programming, in 2012 Genetic and Evolutionary Computation Conference (GECCO'2012), pp. 799--806, ACM Press, Philadelphia, USA, July 2012, ISBN: 978-1-4503-1177-9 .
  2100. Patrick Ngatchou, Anahita Zarei and M.A. El-Sharkawi. Pareto Multi Objective Optimization, in Proceedings of the 13th International Conference on Intelligent Systems Application to Power Systems (ISAP 2005), pp. 84--91, IEEE Press, Washington, DC, USA, 6-10 November, 2005.
  2101. Patrick N. Ngatchou, Warren L.J. Fox and Mohamed A. El-Sharkawi. Multiobjective Multistatic Sonar Sensor Placement, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 9263--9269, IEEE, Vancouver, BC, Canada, July 2006.
  2102. Minh Luan Nguyen, Siu Cheung Hui and Alvis C. M. Fong. An Efficient Multi-Objective Optimization Approach for Online Test Paper Generation, in 2011 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2011), pp. 182--189, IEEE Press, Paris, France, April 11-15, 2011, ISBN 978-1-61284-067-3.
  2103. Quang Uy Nguyen, Xuan Hoai Nguyen, Michael O'Neill and Alexandros Agapitos. An Investigation of Fitness Sharing with Semantic and Syntactic Distance Metrics, in Alberto Moraglio, Sara Silva, Krzysztof Krawiec, Penousal Machado and Carlos Cotta (editors), Genetic Programming, 15th European Conference, EuroGP 2012, pp. 109--120, Springer. Lecture Notes in Computer Science Vol. 7244, Málaga, Spain, April 11-13, 2012.
  2104. Su Nguyen, Mengjie Zhang, Mark Johnston and Kay Chen Tan. A coevolution genetic programming method to evolve scheduling policies for dynamic multi-objective job shop scheduling problems, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 3261--3268, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2105. Long Nguyen, Lam Thu Bui and Hussein Abbass. A New Niching Method for the Direction-Based Multi-Objective Evolutionary Algorithm, in Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2013), pp. 1--8, IEEE Press, Singapore, April 16--19, 2013.
  2106. Anh Quang Nguyen, Andrew M. Sutton and Frank Neumann. Population Size Matters: Rigorous Runtime Results for Maximizing the Hypervolume Indicator, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 1613--1620, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  2107. Ahmad Nickabadi, Mohammad Mehdi Ebadzadeh and Reza Safabakhsh. DNPSO: A Dynamic Niching Particle Swarm Optimizer for Multi-Modal Optimization, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 26--32, IEEE Service Center, Hong Kong, June 2008.
  2108. Matteo Nicolini. A Two-Level Evolutionary Approach to Multi-criterion Optimization of Water Supply Systems, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 736--751, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  2109. Sune S. Nielsen, Bernabé Dorronsoro, Grégoire Danoy and Pascal Bouvry. Novel efficient asynchronous cooperative co-evolutionary multi-objective algorithms, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 2784--2790, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2110. H. Niska, T. Hiltunen, A. Karppinen and M. Kolehmainen. Evolutionary Design and Evaluation of Modeling System for Forecasting Urban Airborne Maximum Pollutant Concentrations, in Bernardete Ribeiro, Rudolf F. Albrecht andrej Dobnikar, David W. Pearson and Nigel C. Steele (editors), Adaptive and Natural Computing Algorithms, pp. 181--184, Springer, Coimbra, Portugal, 2005.
  2111. Y.F. Niu and L.C. Shen. Multi-resolution image fusion using AMOPSO-II, Intelligent Computing in Signal Processing and Pattern Recognition, Springer-Verlag, pp. 343--352, Lecture Notes in Control and Information Sciences Vol. 345, 2006.
  2112. Yifeng Niu, Tao Long and Lincheng Shen. Multi-objective deformable template for forward looking object tracking, in International Conference on Sensing, Computing and Automation. Dynamics of Continuous Discrete and Impusive Systems-Series B-Applications & Algorithms. Vol. 13E, pp. 271-276, Chongqing, Peoples R. China, May 8-11, 2006.
  2113. Yifeng Niu and Lincheng Shen. A Novel Approach to Image Fusion Based on Multi-Objective Optimization, in The Sixth World Congress on Intelligent Control and Automation, WCICA 2006, pp. 9911--9915, IEEE Press, Dailan, China, June 21-23, 2006, ISBN 1-4244-0331-6.
  2114. Yifeng Niu and Lincheng Shen. The Optimal Multi-objective Optimization Using PSO in Blind Color Image Fusion, in International Conference on Multimedia and Ubiquitous Engineering, 2007 (MUE '07), pp. 970--975, IEEE Computer Society Press, Seoul, Korea, April 26-28, 2007.
  2115. Ben Niu, Hong Wang, Lijing Tan and Jun Xu. Multi-objective Optimization Using BFO Algorithm, in De-Shuang Huang, Yong Gan, Prashan Premaratne and Kyungsook Han (editors), Bio-Inspired Computing and Applications, 7th International Conference on Intelligent Computing, ICIC 2011, pp. 582--587, Springer. Lecture Notes in Computer Science Vol. 6840, Zhengzhou, China, August 11-14, 2012.
  2116. Jason Noble and Richard A. Watson. Pareto coevolution: Using performance against coevolved opponents in a game as dimensions for Pareto selection, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 493--500, Morgan Kaufmann Publishers, San Francisco, California, July 2001.
  2117. Bruno Nogueira, Paulo Maciel, Ricardo Martins and Eduardo Tavares. A Simulation Optimization Approach for the Design Space Exploration of Soft Real-Time Embedded Systems, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2773--2780, IEEE Press, Cancún, México, 20-23 June, 2013.
  2118. Yusuke Nojima, Kaname Narukawa, Shiori Kaige and Hisao Ishibuchi. Effects of Removing Overlapping Solutions on the Performance of the NSGA-II Algorithm, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 341--354, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  2119. Yusuke Nojima and Hisao Ishibuchi. Interactive Genetic Fuzzy Rule Selection through Evolutionary Multiobjective Optimization with User Preference, in 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2009), pp. 141--148, IEEE Press, Nashville, TN, USA, March 30--April 2 2009. ISBN 978-1-4244-2764-2 .
  2120. James Northern and Michael Shanblatt. A Multi-objective Approach to Configuring Embedded System Architectures, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 1326--1327, Seattle, Washington, USA, June 2004.
  2121. O

  2122. Shigeru Obayashi. Aerodynamic Inverse Optimization with Genetic Algorithms, In Proceedings of the IEEE International Conference on Industrial Technology, pages 421-425, Tongji University, 96TH8151, December 1996. IEEE Press.
  2123. S. Obayashi, T. Tsukahara and T. Nakamura. Cascade Airfoil Design by Multiobjective Genetic Algorithms, In Second International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, pages 24-29. IEEE Conference Publication No. 446, September 1997.
  2124. S. Obayashi, S. Takahashi and Y. Takeguchi. Niching and Elitist Models for MOGAs. In A. E. Eiben, M. Schoenauer and H.-P. Schwefel, editors, Parallel Problem Solving From Nature -- PPSN V, pages 260-269, Amsterdam, Holland, 1998. Springer-Verlag.
  2125. Shigeru Obayashi. Multidisciplinary Design Optimization of Aircraft Wing Planform Based on Evolutionary Algorithms, In Proceedings of the 1998 IEEE International Conference on Systems, Man and Cybernetics, La Jolla, California, October 1998. IEEE.
  2126. S. Obayashi, S. Takahashi and I. Fejtek. Transonic Wing Design by Inverse Optimization using MOGA, In Sixth Annual Conference of the Computational Fluid Dynamics Society of Canada, Quebec, Canada, June 1998.
  2127. Shigeru Obayashi, Kazuhiro Nakahashi, Akira Oyama and Nobuhisa Yoshino. Design Optimization of Supersonic Wings Using Evolutionary Algorithms. In Proceedings of the Fourth ECCOMAS Computational Fluid Dynamics Conference, Athens, Greece, September 1998.
  2128. Shigeru Obayashi. Pareto Solutions of Multipoint Design of Supersonic Wings using Evolutionary Algorithms, in I.C. Parmee (editor), Adaptive Computing in Design and Manufacture V, pp. 3--15, Springer-Verlag, London, 2002.
  2129. Shigeru Obayashi and Daisuke Sasaki. Visualization and Data Mining of Pareto Solutions Using Self-Organizing Map, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 796--809, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  2130. Shigeru Obayashi, Shinkyu Jeong and Kazuhisa Chiba. Multi-Objective Design Exploration for Aerodynamic Configurations, in 35th AIAA Fluid Dynamics Conference and Exhibit, AIAA-2005-4666, Toronto, Canada, 2005.
  2131. Oluwarotimi Odeh, Praveen Koduru, Sanjoy Das, Allen M. Featherstone and Sephen M. Welch. A Multi-objective Approach for the Prediction of Loan Defaults, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 2129--2136, Vol. 2, ACM Press, London, UK, July 2007.
  2132. V. Oduguwa and R. Roy. Multi-Objective Optimisation of Rolling Rod Product Design using Meta-Modelling Approach, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 1164--1171, Morgan Kaufmann Publishers, San Francisco, California, July 2002.
  2133. Victor Oduguwa, Ashutosh Tiwari and Rajkumar Roy. Handling Integrated Quantitative and Qualitative Search Space in a Real World Optimisation Problem, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 1222--1229, IEEE Press, Canberra, Australia, December 2003.
  2134. Victor Oduguwa, Ashutosh Tiwari and Rajkumar Roy. Sequential Process Optimisation Using Genetic Algorithms, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 782--791, Birmingham, UK, September 2004.
  2135. A. Oduguwa, A. Tiwari, S. Fiorentino and R. Roy. Multi-Objective Optimisation of the Protein-Ligand Docking Problem in Drug Discovery, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1793--1800, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  2136. Ingo Oesterreichter andreas Mitschele, Frank Schlottmann and Detlef Seese. Comparison of Multi-Objective Evolutionary Algorithms in Optimizing Combinations of Reinsurance Contracts, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 747--748, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  2137. Jaewon Oh, Hyokyung Bahn, Chisu Wu and Kern Koh, Pareto-based Soft Real-Time Task Scheduling in Multiprocessor Systems, 7th IEEE Asia-Pacific Software Engineering Conference (APSEC 2000), Singapore, pp. 24--29, 2000.
  2138. Choong K. Oh and Gregory J. Barlow. Autonomous Controller Design for Unmanned Aerial Vehicles using Multi-objective Genetic Programming, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1538--1545, Portland, Oregon, USA, June 2004.
  2139. Shao Chong Oh, Chung Huat Tan, Fook Wai Kong, Yuan Sin Tan, Khin Hua Ng, Gee Wah Ng and K. Tai. Multiobjective Optimization of Sensor Network Deployment by a Genetic Algorithm, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3917--3921, IEEE Press, Singapore, September 2007.
  2140. Anthony E. Ohazulike and Ties Brands. Multi-objective Optimization of Traffic Externalities using Tolls: A Comparison of Genetic Algorithm and Game Theoretical Approach, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2465--2472, IEEE Press, Cancún, México, 20-23 June, 2013.
  2141. Ikki Ohmukai, Hideaki Takeda and Mitsunori Miki. A Proposal of the Person-centered Approach for Personal Task Management, in Proceedings of the 2003 Symposium on Applications and the Internet, pp. 234--240, IEEE, Orlando, Florida, January 2003.
  2142. Makoto Ohsaki and Takuya Kinoshita. Single-point search heuristic methods for multiobjective structural optimization, in Proceedings of Computational Science Symposium, FCS/Techno-Sympo/MPS Symposium 2005, pp. 59--66, Nagoya, Japan, 2005.
  2143. M. Ohsaki, T. Kinoshita and P. Pan. Heuristic approaches to performance-based design of steel frames with standard sections, in Proceedings of Behavior of Steel Structures in Seismic Areas, STESSA 2006, pp. 67--72, Taylor & Francis, Yokohama, 2006.
  2144. Tatsuya Okabe, Yaochu Jin and Bernhard Sendhoff. On the Dynamics of Evolutionary Multi-Objective Optimization, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 247--255, Morgan Kaufmann Publishers, San Francisco, California, July 2002.
  2145. Tatsuya Okabe, Kwasi Foli, Markus Olhofer, Yaochu Jin and Bernhard Sendhoff. Comparative Studies on Micro Heat Exchanger Optimization, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 1, pp. 647--654, IEEE Press, Canberra, Australia, December 2003.
  2146. Tatsuya Okabe, Yaochu Jin and Bernhard Sendhoff. A Critical Survey of Performance Indices for Multi-Objective Optimization, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 878--885, IEEE Press, Canberra, Australia, December 2003.
  2147. Tatsuya Okabe, Yaochu Jin and Bernhard Sendhoff. Evolutionary Multi-Objective Optimisation with a Hybrid Representation, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2262--2269, IEEE Press, Canberra, Australia, December 2003.
  2148. Tatsuya Okabe and Yaochu Jin and Bernhard Sendhoff and Markus Olhofer. Voronoi-based Estimation of Distribution Algorithm for Multi-objective Optimization, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1594--1601, Portland, Oregon, USA, June 2004.
  2149. Tatsuya Okabe, Yaochu Jin, Markus Olhofer and Bernhard Sendhoff. On Test Functions for Evolutionary Multi-objective Optimization, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 792--802, Birmingham, UK, September 2004.
  2150. Tatsuya Okabe, Yaochu Jin and Bernhard Sendhoff. Theoretical Comparisons of Search Dynamics of Genetic Algorithms and Evolution Strategies, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 382--389, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  2151. Gina M. B. Oliveira, José C. Bortot and Pedro P.B. de Oliveira. Multiobjective evolutionary search for one-dimensional cellular automata in the density classification task, in R. Standish, M. Bedau and H. Abbass (editors), Artificial Life VIII: The 8th International Conference on Artificial Life, pp. 202--206, MIT Press, Cambridge, Massachusetts, 2002.
  2152. L.S. Oliveira, R. Sabourin, F. Bortolozzi and C.Y. Suen. Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Digit Recognition, in Proceedings of the 16th International Conference on Pattern Recognition (ICPR'2002), pp. 568--571, Vol. 1, Quebec City, Canada, IEEE Computer Society Press, August, 2002.
  2153. L.S. Oliveira, R. Sabourin, F. Bortolozzi and C.Y. Suen. Feature selection for ensembles: a hierarchical multi-objective genetic algorithm approach, in Proceedings of the Seventh International Conference on Document Analysis and Recognition, 2003, pp. 676--680, IEEE Press, 2003.
  2154. Luiz S. Oliveira, Marisa Morita, Robert Sabourin and Flávio Bortolozzi. Multi-objective Genetic Algorithms to Create Ensemble of Classifiers, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 592--606, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  2155. Gina M. B. Oliveira and Stéfano S. B. V. Vita. A Multi-Objective Evolutionary Algorithm with ε-Dominance to Calculate Multicast Routes with QoS Requirements, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 182--189, IEEE Press, Trondheim, Norway, May 2009.
  2156. Diego F. de Oliveira, Anne M. P. Canuto and Marcilio C. P. de Souto. The Diversity/Accuracy Dilemma: An Empirical Analysis in the Context of Heterogeneous Ensembles, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 939--946, IEEE Press, Trondheim, Norway, May, 2009.
  2157. Miguel Oliveira, Lino Costa, Ana Rocha, Cristina Santos and Manuel Ferreira. Multiobjective Optimization of a Quadruped Robot Locomotion Using a Genetic Algorithm, in António Gaspar-Cunha, Ricardo Takahashi, Gerald Schaefer and Lino Costa (editors), Soft Computing in Industrial Applications, pp. 427--436, Springer, Advances in Intelligent and Soft Computing Series, Vol. 96, Berlin, 2011, ISBN 978-3-642-20504-0.
  2158. Charles Ollion and Stéphane Doncieux. Why and How to Measure Exploration in Behavioral Space, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 267--274, ACM Press, Dublin, Ireland, July 12-16, 2011.
  2159. Juan Luis Olmo, Jos´ Raúl Romero and Sebastián Ventura. Multi-Objective Ant Programming for Mining Classification Rules, in Alberto Moraglio, Sara Silva, Krzysztof Krawiec, Penousal Machado and Carlos Cotta (editors), Genetic Programming, 15th European Conference, EuroGP 2012, pp. 146--157, Springer. Lecture Notes in Computer Science Vol. 7244, Málaga, Spain, April 11-13, 2012.
  2160. Gabriel Oltean, Sorin Hintea and Emilia Sipos. A Genetic Algorithm-Based Multiobjective Optimization for Analog Circuit Design, in Juan D. Velásquez, Sebastián A. Ríos, Robert J. Howlett and Lakhmi C. Jain (editors), Knowledge-Based and Intelligent Information and Engineering Systems, 13th International Conference, KES 2009, pp. 506--514, Springer. Lecture Notes in Artificial Intelligence Vol. 5712, Santiago, Chile, September 28-30, 2009.
  2161. Mahamed G.H. Omran andries P. Engelbrecht and Ayed Salman. Differential Evolution Methods for Unsupervised Image Classification, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 966--973, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.
  2162. Renata E. Onety, Gladston J.P. Moreira, Oriane M. Neto and Ricardo H.C. Takahashi. Variable Neighborhood Multiobjective Genetic Algorithm for the Optimization of Routes on IP Networks, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 433--447, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  2163. Chin Kim On and Jason Teo and Azali Saudi. Multi-Objective Artificial Evolution of RF-Localization Behavior and Neural Structures in Mobile Robots, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 350--356, IEEE Service Center, Hong Kong, June 2008.
  2164. Kim On and Teo Jason. Evolution and analysis of self-synthesized minimalist neural controllers for collective robotics using Pareto multi-objective optimization, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 2172--2178, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2165. Satoshi Ono, Yusuke Hirotani and Shigeru Nakayama. Multiple Solution Search Based on Hybridization of Real-Coded Evolutionary Algorithm and Quasi-Newton Method, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 1133--1140, IEEE Press, Singapore, September 2007.
  2166. Satoshi Ono and Shigeru Nakayama. Multi-Objective Particle Swarm Optimization for Robust Optimization and Its Hybridization with Gradient Search, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1629-1636, IEEE Press, Trondheim, Norway, May, 2009.
  2167. Matthias Ortmann and Wolfgang Weber.Multi-Criterion Optimization of Robot Trajectories with Evolutionary Strategies, Proceedings of the 2001 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 310--316, San Francisco, California, July 2001.
  2168. Matthias Ortmann and Wolfgang Weber.Multi-Criterion Optimization of Robot Trajectories with Evolutionary Strategies, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 1453, Morgan Kaufmann Publishers, San Francisco, California, July 2001.
  2169. Francisco Ortuno, Javier P. Florido, Jose M. Urquiza, Hector Pomares, Alberto Prieto and Ignacio Rojas. Optimization of multiple sequence alignment methodologies using a multiobjective evolutionary algorithm based on NSGA-II, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 318--325, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2170. Yuki Osada, Lyndon While, Luigi Barone and Zbigniew Michalewicz. Multi-mine Planning using a Multi-objective Evolutionary Algorithm, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2902--2909, IEEE Press, Cancún, México, 20-23 June, 2013.
  2171. Dan Oshima, Atsushi Miyamae, Jun Sakuma, Shigenobu Kobayashi and Isao Ono. A New Real-coded Genetic Algorithm Using the Adaptive Selection Network for Detecting Multiple Optima, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1912--1919, IEEE Press, Trondheim, Norway, May, 2009.
  2172. Keith A. Osman, Anthony M. Higginson and John Moore. Improving the efficiency of vehicle water-pump designs using genetic algorithms. In C. Dagli, M. Akay, A. Buczak, O. Ersoy and B. Fernandez, editors, Smart Engineering Systems: Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE '98), volume 8, pp. 291--296, New York, 1998. ASME, ASME Press.
  2173. Marek Ostaszewski, Pascal Bouvry and Franciszek Seredynski. Multiobjective classification with moGEP: an application in the network traffic domain, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 635--642, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .
  2174. Andrzej Osyczka and Sourav Kundu. A Genetic Algorithm-Based Multicriteria Optimization Method. In Proceedings of First World Congress of Structural and Multidisciplinary Optimization, pages 909-914, Goslar, Germany, May 1995. Elsevier Science.
  2175. Andrzej Osyczka and Sourav Kundu. Using genetic algorithms to solve multicriteria nonlinear programming problems. In Proceedings of Mendel'95, the 1st International Mendel Conference on Genetic Algorithms, Brno, Czech Republic, September 1995.
  2176. Andrzej Osyczka and Sourav Kundu. A Genetic Algorithm Approach to Multicriteria Network Optimization Problems. In Proceedings of the 20th International Conference on Computers and Industrial Engineering, pages 329-332, Kyongju, Korea, October 1996.
  2177. Andrzej Osyczka and H. Tamura. Pareto set distribution method for multicriteria optimization using genetic algorithm. In Proceedings of the Second International Conference on Genetic Algorithms (Mendel'96), pages 97-102, Brno, Czech Republic, June 1996.
  2178. Andrzej Osyczka, Stanislaw Krenich and K. Karas. >Optimum Design of Robot Grippers using Genetic Algorithms,In Proceedings of the Third World Congress of Structural and Multidisciplinary Optimization (WCSMO), Buffalo, New York, May 1999.
  2179. Andrzej Osyczka and Stanislaw Krenich. A New Constraint Tournament Selection Method for Multicriteria Optimization using Genetic Algorithm. In 2000 IEEE Congress on Evolutionary Computation, volume 1, pages 501-507, Piscataway, New Jersey, July 2000. IEEE Service Center.
  2180. Mariusz Oszust and Marian Wysocki. A Distributed Immune Algorithm for Solving Optimization Problems, in Intelligent Distributed Computing, Systems and Applications, pp. 147--155, Springer. Studies in Computational Intelligence. Vol. 162, Catania, Italy, 2008.
  2181. Ali Ouni, Marouane Kessentini, Houari Sahraoui and Mahamed Salah Hamdi. The Use of Development History in Software Refactoring Using a Multi-Objective Evolutionary Algorithm, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 1461--1468, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  2182. A. Oyama, S. Obayashi, K. Nakahashi and N. Hirose. Coding by Taguchi Method for Evolutionary Algorithms Applied to Aerodynamic Optimization, In Proceedings of the Fourth ECCOMAS Computational Fluid Dynamics Conference, pages 196-203, Athens, Greece, September 1998. John Wiley & Sons.
  2183. Akira Oyama and Shigeru Obayashi. Multidisciplinary Wing Design Optimization Using Multiobjective Evolutionary Algorithm, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.
  2184. Akira Oyama and Meng-Sing Liou. Multiobjective Optimization of Rocket Engine Pumps using Evolutionary Algorithm, In Proceedings of the 15th AIAA Computational Fluid Dynamic Conference, American Institue of Aeronautics and Astronautics, Anaheim, California, June 2001.
  2185. Akira Oyama, Kozo Fujii, Koji Shimoyama and Meng-Sing Liou. Pareto-Optimality-Based Constraint-Handling Technique and Its Application to Compressor Design, in 17th AIAA Computational Fluid Dynamics Conference, Paper AIAA 2005-4983, Toronto, Canada, 6-9 June, 2005.
  2186. Akira Oyama, Koji Shimoyama and Kozo Fujii. New Constraint-Handling Method for Multi-Objective Multi-Constraint Evolutionary Optimization and Its Application to Space Plane Design, in R. Schilling, W. Haase, J. Periaux, H. Baier and G. Bugeda (editors), Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2005), Munich, Germany, 2005.
  2187. Akira Oyama, Taku Nonomura and Kozo Fujii. Data Mining of Non-Dominated Solutions Using Proper Orthogonal Decomposition, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1935--1936, ACM Press, Montreal, Canada, July 8--12, 2009. ISBN 978-1-60558-325-9.
  2188. Feristah Ozcelik. Deciding on the Ideal Channel Coefficients in Multi-Channel Manufacturing, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 115--121, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  2189. Timucin Ozugur, Anand Bellary and Falguni Sarkar. Multiobjctive Hierarchical 2G/3G Mobility Management Optimization: Niched Pareto Genetic Algorithm, in Global Telecommunications Conference, IEEE, Vol. 6, pp. 3681--3685, 2001.
  2190. P

  2191. Nikhil Padhye. Comparison of archiving methods in multi-objective particle swarm optimization (MOPSO): empirical study, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1755--1756, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9.
  2192. Nikhil Padhye, Juergen Branke and Sanaz Mostaghim. Empirical Comparison of MOPSO Methods - Guide Selection and Diversity Preservation -, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2516--2523, IEEE Press, Trondheim, Norway, May, 2009.
  2193. Nikhil Padhye and Kalyanmoy Deb. Evolutionary Multi-Objective Optimization and Decision Making for Selective Laser Sintering, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 1259--1266, ACM Press, Portland, Oregon, USA, July 7--11, 2010. ISBN 978-1-4503-0072-8.
  2194. Dhanesh Padmanabhan and Rajkumar Vaidyanathan. An Implementation of Pareto Set Pursuing Technique for Concept Vehicle Design, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 696--705, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  2195. Ben Paechter, R.C. Rankin andrew Cumming and Terence C. Fogarty. Timetabling the Classes of an Entire University with an Evolutionary Algorithm, In A. E. Eiben, M. Schoenauer and H.-P. Schwefel, editors, Parallel Problem Solving From Nature -- PPSN V, Amsterdam, Holland, 1998. Springer-Verlag.
  2196. Siddharth Pal, Aniruddha Basak, Swagatam Das and P. N. Suganthan. Sythesis of Difference Patterns for Monopulse Antenna Arrays-an Evolutionary Multi-Objective Optimization Approach, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 504--513, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  2197. S. Palaniappan, S. Zein-Sabatto and A. Sekmen. Dynamic Multiobjective Optimization of War Resource Allocation using Adaptive Genetic Algorithm, in Proceedings of the SoutheastCon, pp. 160--165, IEEE, 2001.
  2198. Michael de Paly, Niels Sch¨tze and Andreas Zell. Determining crop-production functions using multi-objective evolutionary algorithms, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 1870--1877, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2199. Feng Pan, Guanghui Wang and Yang Liu. A Multi-Objective-Based Non-Stationary UAV Assignment Model for Constraints Handling using PSO, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 459-466, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6.
  2200. Liviu Panait and Sean Luke. Alternative Bloat Control Methods, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 630--641, Seattle, Washington, USA, June 2004.
  2201. José Maria A. Pangilinan, Gerrit K. Janssens and An Caris. Sensitivity Analysis of a Genetic Algorithm for a Competitive Facility Location Problem, in Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering, Springer, pp. 266-271, 2008.
  2202. José Maria Pangilinan, Gerrit K. Janssens and An Caris. A Multi-Objective Evolutionary Algorithm for Finding Efficient Solutions to a Competitive Facility Location Problem, in Cengiz Kahraman (editors), Computational Intelligence Systems in Industrial Engineering, With Recent Theory and Applications, Chapter 29, pp. 623--650, Springer. Atlantis Computational Intelligence Systems Vol. 6, 2012, ISBN 978-94-91216-76-3.
  2203. C. Papagianni, K. Papadopoulos, C. Pappas, N. D. Tselikas, D. T. Kaklamani and I. S. Venieris. Communication Network Design Using Particle Swarm Optimization, in International Multiconference on Computer Science and Information Technology (IMCSIT'2008), pp. 915--920, IEEE Computer Society, Wisla, Poland, October, 2008.
  2204. Gisele L. Pappa, Alex A. Freitas and Celso A.A. Kaestner. Attribute Selection with a Multiobjective Genetic Algorithm, in G. Bittencourt and G.L. Ramalho (editors), Proceedings of the 16th Brazilian Symposium on Artificial Intelligence (SBIA-2002), pp. 280--290, Springer-Verlag. Lecture Notes in Artificial Intelligence Vol. 2507, 2002.
  2205. Gisele L. Pappa, Alex A. Freitas and Celso A.A. Kaestner. A Multiobjective Genetic Algorithm for Attribute Selection, in Proceedings of the 4th International Conference on Recent Advances in Soft Computing (RASC-2002), pp. 116--121, Nottingham Trent University, Nottingham, UK, December 2002.
  2206. Luis Paquete and Thomas Stützle. A Two-Phase Local Search for the Biobjective Traveling Salesman Problem, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 479--493, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  2207. Luis Paquete, Marco Chiarandini and Thomas Stützle. Pareto Local Optimum Sets in the Biobjective Traveling Salesman Problem: An Experimental Study, in Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen and Vincent T'kindt (editors), Metaheuristics for Multiobjective Optimisation, pp. 177--199, Springer. Lecture Notes in Economics and Mathematical Systems Vol. 535, Berlin, 2004.
  2208. Sangbong Park, Dongkyung Nam and Cheol Hoon Park. Design of a Neural Controller Using Multiobjective Optimization for Nonminimum Phase Systems, in 1999 IEEE International Fuzzy Systems Conference Proceedings, Vol. 1, pp. 533--537, IEEE, 1999.
  2209. So-Youn Park and Ju-Jang Lee. Improvement of a Multi-Objective Differential Evolution using Clustering Algorithm, in IEEE International Symposium on Industrial Electronics 2009 (ISIE'2009), pp. 1213--1217, IEEE Computer Society, Seoul, South Korea, July, 2009.
  2210. So-Youn Park and Ju-Jang Lee. Improvement of A Multi-Objective Differential Evolution using Clustering Algorithm, in IEEE International Symposium on Industrial Electronics (ISIE 2009), pp. 1213--1217, IEEE Press, Seoul, Korea, Julty 5-8, 2009.
  2211. In-Won Park, Bum-Joo Lee, Ye-Hoon Kim, Ji-Hyeong Han and Jong-Hwan Kim. Multi-objective quantum-inspired evolutionary algorithm-based optimal control of two-link inverted pendulum, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3382--3388, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2212. Hyungmin Park, Ji-Hyeong Han and Jong-Hwan Kim. Swarm intelligence-based sensor network deployment strategy, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 4210--4215, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2213. Taejin Park and Kwang Ryel Ryu. Accumulative Sampling for Noisy Evolutionary Multi-Objective Optimization, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 793--800, ACM Press, Dublin, Ireland, July 12-16, 2011.
  2214. In-Won Park, Ki-Baek Lee and Jong-Hwan Kim. Multi-objective evolutionary algorithm-based optimal posture control of humanoid robots, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 238--244, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2215. Geoffrey T. Parks. Multiobjective PWR Reload Core Optimization Using Genetic Algorithms. In Proceedings of the International Conference on Mathematics and Computations, Reactor Physics and Environmental Analyses, pages 615-624, 1995.
  2216. Geoffrey T. Parks. Multiobjective Pressurised Water Reactor Reload Core Design using a Genetic Algorithm. In George D. Smith, Nigel C. Steele and Rudolf F. Albrecht, editors, Artificial Neural Nets and Genetic Algorithms, pages 53-57, Norwich, UK, 1997. Springer-Verlag.
  2217. Geoffrey T. Parks and I. Miller. Selective Breeding in a Multiobjective Genetic Algorithm. In A. E. Eiben, M. Schoenauer and H.-P. Schwefel, editors, Parallel Problem Solving From Nature -- PPSN V, pages 250-259, Amsterdam, Holland, 1998. Springer-Verlag.
  2218. G.T. Parks and A. Suppapitnarm. Multiobjective optimizationof PWR reload core designs using simulated annealing, Mathematics & Computation, Reactor Physics and Environmental Analysis in Nuclear Applications, Vol. 2, Madrid, Spain, pp. 1435--1444, 1999.
  2219. I. C. Parmee and G. Purchase. The development of a directed genetic search technique for heavily constrained design spaces, In I. C. Parmee, editor, Adaptive Computing in Engineering Design and Control-'94, pages 97-102, Plymouth, UK, 1994. University of Plymouth, University of Plymouth.
  2220. Ian C. Parmee and Andrew H. Watson. Preliminary Airframe Design Using Co-Evolutionary Multiobjective Genetic Algorithms, In W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela and R. E. Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'99), volume 2, pages 1657-1665, San Francisco, California, July 1999. Morgan Kaufmann.
  2221. I.C. Parmee and J.A.R. Abraham. Supporting Implicit Learning via the Visualisation of COGA Multi-objective Data, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 395--402, Portland, Oregon, USA, June 2004.
  2222. I.C. Parmee, J. Abraham, M. Shackelford, O.F. Rana and A. Shaikhali. Towards Autonomous Evolutionary Design Systems via Grid-Based Technologies, in Proceedings of ASCE 2005 International Conference on Computing in Civil Engineering, Cancun, Mexico, July 2005.
  2223. M. Parrilla Sánchez and J. Aranda Almansa. A Real Application Example of a Control Structure Selection by Means of a Multiobjective Genetic Algorithm, in José Mira and José R. álvarez (Eds.), Artificial Neural Nets Problem Solving Methods, 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN'2003.Proceedings, Part II, pp. 369--376, Springer, Lecture Notes in Computer Science, Vol. 2687, Maó, Menorca, Spain, June 3-6, 2003.
  2224. Daniel Parrott, Xiaodong Li and Vic Ciesielski. Multi-objective Techniques in Genetic Programming for Evolving Classifiers, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1141--1148, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.
  2225. K.E. Parsopoulos and M.N. Vrahatis. Particle Swarm Optimization Method in Multiobjective Problems, Proceedings of the 2002 ACM Symposium on Applied Computing (SAC 2002), pp. 603-607, ISBN: 1-58113-445-2, 2002.
  2226. K.E. Parsopoulos, D.K. Tasoulis and M.N. Vrahatis. Multiobjective Optimization Using Parallel Vector Evaluated Particle Swarm Optimization, in Proceedings of the IASTED International Conference on Artificial Intelligence and Applications (AIA 2004), pp. 823--828, Vol. 2, ACTA Press, Innsbruck, Austria, February 2004.
  2227. K.E. Parsopoulos, D.K. Taoulis, N.G. Pavlidis, V.P. Plagianakos and M.N. Vrahatis. Vector Evaluated Differential Evolution for Multiobjective Optimization, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 204--211, Portland, Oregon, USA, June 2004.
  2228. Christian Oliver Paschereit, Bruno Schuermans and Dirk Büche. Combustion Process Optimization using Evolutionary Algorithm, in Proceedings of the ASME Turbo Expo 2003, Atlanta, USA, June 2003.
  2229. Joseph M. Pasia, Karl F. Doerner, Richard F. Hartl and Marc Reimann. A Population-Based Local Search for Solving a Bi-objective Vehicle Routing Problem, in Carlos Cotta and Jano van Hemert (editors), Evolutionary Computation in Combinatorial Optimization, 7th European Conference, EvoCOP 2007, pp. 166--175, Springer. Lecture Notes in Computer Science Vol. 4446, Valencia, Spain, April 2007.
  2230. Joseph M. Pasia, Xavier Gandibleux, Karl F. Doerner and Richard F. Hartl. Local Search Guided by Path Relinking and Heuristic Bounds, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 501--515, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  2231. Joseph M. Pasia, Hernán Aguirre and Kiyoshi Tanaka. Improved Random One-Bit Climbers with Adaptive ε-Ranking and Tabu Moves for Many-Objective Optimization , in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 182--196, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  2232. Rahila Patel, M.M. Raghuwanshi and L.G. Malik. An Approach Based on Grid-Value for Selection of Parents in Multi-objective Genetic Algorithm, in Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das and Suresh Chandra Satapathy (editors), Swarm, Evolutionary, and Memetic Computing, Second International Conference, SEMCCO 2011, pp. 265--273, Springer. Lecture Notes in Computer Science Vol. 7076, Visakhapatnam, Andhra Pradesh, India, December 19-21, 2011.
  2233. Alina Patelli and Lavinia Ferariu. Elitist multiobjective nonlinear systems identification with insular evolution and diversity preservation, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 2076--2081, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2234. Rodrigo Pasti, Fernando J. Von Zuben, Renato Dourado Maia and Leandro Nunes de Castro. Heuristics to Avoid Redundant Solutions on Population Based Multimodal Continuous Optimization , in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2321--2328, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  2235. Bhupendra Kumar Pathak and Sanjay Srivastava. MOGA-Based Time-Cost Tradeoffs: Responsiveness for Project Uncertainties, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3085--3092, IEEE Press, Singapore, September 2007.
  2236. Bhupendra Kumar Pathak, Harish Kumar Singh and Sanjay Srivastava. Multi-Resource-Constrained Discrete Time-Cost Tradeoff with MOGA Based Hybrid Method, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 4425--4432, IEEE Press, Singapore, September 2007.
  2237. Awhan Patnaik and L. Behera. Evolutionary Multiobjective Optimization Based Control Strategies For An Inverted Pendulum On A Cart, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3140--3146, IEEE Service Center, Hong Kong, June 2008.
  2238. G.K.M. Pedersen, A.S. Langballe and R. Wisniewski. Synthesizing multi-objective H2/H-infinity dynamic controller using evolutionary algorithms, in Proceedings of the 15th IFAC World Congress, pp. 4580--4585, July 2002.
  2239. Gerulf K.M. Pedersen and David E. Goldberg. Dynamic Uniform Scaling for Multiobjective Genetic Algorithms, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 11--23, Seattle, Washington, USA, June 2004.
  2240. Gerulf K.M. Pedersen and Zhenyu Yang. Multi-Objective PID-Controller Tuning for a Magnetic Levitation System using NSGA-II, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1737--1744, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  2241. Gerulf K. M. Pedersen and Zhenyu Yang. Efficiency Optimization of a Multi-Pump Booster System, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 1611--1618, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6 .
  2242. Yunxia Pei. A MOPSO Approach to Grid Workflow Scheduling, in 2010 Asia-Pacific Conference on Wearable Computing Systems (APWCS), pp. 403--406, IEEE Computer Society Press, Shenzhen, China, April 17-18, 2010.
  2243. M. Pedro, E. Monteiro and F. Boavida. An approach to off-line inter-domain QoS-aware resource optimization, in Networking 2006: Networking Technologies, Services and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communication Systems, pp. 247--255, Springer, Lecture Notes in Computer Science Vol. 3976, 2006.
  2244. Luciana R. Pedro and Ricardo H.C. Takahashi. Modeling Decision-Maker Preferences through Utility Function Level Sets, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 550--563, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  2245. Martin Pelikan, Kumara Sastry and David E. Goldberg. Multiobjective hBOA, Clustering and Scalability, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 663--670, Vol. 1, ACM Press, New York, USA, June 2005.
  2246. Fei Peng and Ke Tang. Alleviate the Hypervolume Degeneration Problem of NSGA-II, in Bao-Liang Lu, Liqing Zhang and James Kwok (editors), Neural Information Processing, 18th International Conference, ICONIP 2011, pp. 425--434, Springer. Lecture Notes in Computer Science Vol. 7063, Shanghai, China, November 13-17, 2011.
  2247. Wei Peng and Qingfu Zhang. Network Topology Planning Using MOEA/D with Objective-Guided Operators, in Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia and Mario Pavone (editors), Parallel Problem Solving from Nature - PPSN XII, 12th International Conference, pp. 62--71, Springer. Lecture Notes in Computer Science Vol. 7492, Taormina, Italy, September 1-5, 2012.
  2248. Ricardo Perera, Sheng-En Fang and Antonio Ruiz. Particle Swarm vs. Evolutionary Optimization Techniques in a Multiobjective Framework for Damage Identification, in F. Chu, H. Ouyang, V. Silberschmidt, L. Garibaldi, C. Surace, W.M. Ostachowicz, and D. Jiang, (editors), Damage Assessment of Structures VIII, pp. 661-668, Trans Tech Publications, Switzerland, June, 2009.
  2249. R. Perez, K. Behdinan and J. Chung. Airfoil Shape Optimization Using Genetic Algorithms. In Proceedings, 47th Annual Conference of the Canadian Aeronautic and Space Institute, Aircraft Design and Development Symposium, Ottawa, Canada, April 30 - May 3 2000.
  2250. Ruben Perez and Kamran Behdinan. Effective Multi-Mission Aircraft Conceptual Design Optimization Using a Hybrid Multi-Objective Evolutionary Method, Proceedings of the 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, AIAA-2002-5464, American Institute of Aeronautics and Astronautics, 2002.
  2251. M. J. Pérez, J. García, L. Martí and J. M. Molina. Multi-Objective Optimization Evolutionary Algorithms in Insurance-Linked Derivatives, in Jean-Philippe Rennard (editor), Handbook of Research on Nature Inspired Computing for Economy and Management, pp. 885--908, Vol. II, Idea Group Reference, Hershey, UK, 2006, ISBN 1-59140-984-5.
  2252. R. Pérez-Pérez, C. Luque, A. Cervantes and P. Isasi. Multiobjective Algorithms to Optimize Broadcasting Parameters in Mobile Ad-hoc Networks, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3142--3149, IEEE Press, Singapore, September 2007.
  2253. Cristian Perfumo, John K. Ward and Julio H. Braslavsky. Reducing energy use and operational cost of air conditioning systems with multi-objective evolutionary algorithms, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3937--3944, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2254. Jacques Périaux, Mourad Sefrioui and Bertrand Mantel. RCS multi-objective optimization of scattered waves by active control elements using GAs, In Proceedings of the Fourth International Conference on Control, Automation, Robotics and Vision (ICARCV'96), Singapore, 1996.
  2255. Andrei Petrovski, John McCall and Bhavani Sudha. Multi-Objective Optimization of Cancer Chemotherapy Using Swarm Intelligence, in Symposium on Adaptive and Emergent Behaviour and Complex Systems (AISB 2009), Heriot-Watt University, Edinburgh, Scotland, April 6-9, 2009.
  2256. O. Peyran and W. Zhuang. Educating Initial Solutions for Genetic Algorithms: A Chip Planning Optimization Example, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 687--691, Vol. 2, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.
  2257. Jella Pfeiffer, Uli Golle and Franz Rothlauf. Reference Point Based Multi-Objective Evolutionary Algorithms for Group Decisions, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 697--704, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6.
  2258. Viet V. Pham, Lam T. Bui, Sameer Alam, Chris Lokan and Hussein A. Abbass. A Pittsburgh Multi-Objective Classifier for User Preferred Trajectories and Flight Navigation, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 608--615, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2259. Dung H. Phan, Junichi Suzuki and Isao Hayashi. Leveraging Indicator-Based Ensemble Selection in Evolutionary Multiobjective Optimization Algorithms, in 2012 Genetic and Evolutionary Computation Conference (GECCO'2012), pp. 497--504, ACM Press, Philadelphia, USA, July 2012, ISBN: 978-1-4503-1177-9.
  2260. Dũng H. Phan and Junichi Suzuki. R2-IBEA: R2 Indicator Based Evolutionary Algorithm for Multiobjective Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1836--1845, IEEE Press, Cancún, México, 20-23 June, 2013.
  2261. Martin Pilát and Roman Neruda. ASM-MOMA: Multiobjective Memetic Algorithm with Aggregate Surrogate Model, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1202--1208, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  2262. Martin Pilát and Roman Neruda. An evolutionary strategy for surrogate-based multiobjective optimization, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 866--872, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2263. Martin Pilát and Roman Neruda. Surrogate Model Selection for Evolutionary Multiobjective Optiomization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1860--1867, IEEE Press, Cancún, México, 20-23 June, 2013.
  2264. Christian Pilato, Gianluca Palermo, Antonino Tumeo, Fabrizio Ferrandi, Donatella Sciuto and Pier Luca Lanzi. Fitness Inheritance in Evolutionary and Multi-Objective High-Level Synthesis. in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3459--3466, IEEE Press, Singapore, September 2007.
  2265. Martin Pilát and Roman Neruda. Combining Multiobjective and Single-objective Genetic Algorithms in Heterogeneous Island Model, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 1543--1550, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2266. Christian Pilato, Daniele Loiacono, Fabrizio Ferrandi, Pier Luca Lanzi and Donatella Sciuto. High-Level Synthesis with Multi-Objective Genetic Algorithm: A Comparative Encoding Analysis, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3333--3340, IEEE Service Center, Hong Kong, June 2008.
  2267. Bruno Pinaud, Pascale Kuntz and Rémi Lehn. Dynamic Graph Drawing with a Hybridized Genetic Algorithm, in I.C. Parmee (editor), Adaptive Computing in Design and Manufacture VI, pp. 365--375, Springer, London, 2004.
  2268. N. M. Pindoriya and S. N. Singh. MOPSO based Day-Ahead Optimal Self-Scheduling of Generators under Electricity Price Forecast Uncertainty, in Power & Energy Society General Meeting, 2009, pp. 1--8, IEEE, Kanpur, India, July 26-30, 2009.
  2269. Diego Pinto, Benjamín Barán and Ramón Fabregat. Multi-Objective Multicast Routing based on Ant Colony Optimization, in Beatriz López, Joaquim Meléndez, Petia Radeva, and Jordi Vitria, (editors), Proceeding of the 2005 conference on Artificial Intelligence Research and Development, pp. 363--370, IOS Press, Amsterdam, The Netherlands, The Netherlands, 2005.
  2270. Eduardo José Solteiro Pires, Paulo B. de Moura Oliveira and José António Tenreiro Machad. Multi-objective Genetic Manipulator Trajectory Planner, in Günther R. Raidl et al. (editors), Applications of Evolutionary Computing. Proceedings of Evoworkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART and EvoSTOC, Springer. Lecture Notes in Computer Science, Volume 3005, pp. 219--229, Coimbra, Portugal, April 2004.
  2271. E.J. Solteiro Pires, J.A. Tenreiro Machado and P.B. de Moura Oliveira. Robot Trajectory Planning Using Multiobjective Genetic Algorithm Optimization, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 615--626, Seattle, Washington, USA, June 2004.
  2272. E.J. Solteiro Pires, P.B. de Moura Oliveira and J.A. Tenreiro Machado. Multi-objective MaxiMin Sorting Scheme, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 165--175, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  2273. E. J. Solteiro Pires, Luís Mendes, P. B. de Moura Oliveira, J. A. Tenreiro Machado, N. M. Fonseca Ferreira, João Vaz and Maria Rosário. Single-Objective Front Optimization: Application to RF Circuit Design, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 765--766, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6 .
  2274. Paul Pitiot, Thierry Coudert, Laurent Geneste and Claude Baron. Improvement of Intelligent Optimization by an Experience Feedback Approach, in Nicolas Monmarché, El-Ghazali Talbi, Pierre Collet, Marc Schoenauer, and Evelyne Lutton, (editors), Artificial Evolution. 8th International Conference Evolution Artificielle (EA 2007), pp. 316--327, Springer. Lecture Notes in Computer Science. Vol. 4926, Tours, France, October, 2007.
  2275. Paul Pitiot, Thierry Coudert, Laurent Geneste and Claude Baron. A Priori Knowledge Integration in Evolutionary Optimization, in Artifical Evolution, 9th International Conference, Evolution Artificielle, EA 2009, pp. 98--109, Springer. Lecture Notes in Computer Science, Vol. 5975, Strasbourg, France, 2010, ISBN 978-3-642-14155-3.
  2276. Andreas Pitsillides, Costas Pattichis, A. Sekerciogli and Thanos Vassilakos. Bandwidth Allocation for Virtual Paths using Genetic Algorithms (GA-BAVP), in International Conference on Telecommunications (ICT'97), Melbourne, Australia, April 1997.
  2277. Timothy L. Pitzer, James A. Fellows, Gary B. Lamont and Andrew J. Terzuoli. Linear Ensemble Antennas Resulting from the Optimization of Log Periodic Dipole Arrays Using Genetic Algorithms, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 10958--10965, IEEE, Vancouver, BC, Canada, July 2006.
  2278. Vassilis P. Plagianakos. Multi-Optima Search Using Differential Evolution and Unsupervised Clustering, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2178--2185, IEEE Press, Cancún, México, 20-23 June, 2013.
  2279. Leon Poladian. A Genotype-to-Phenotype Mapping for Microstructured Polymer Optical Fibres, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 378--385, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  2280. Silvia Poles, Paolo Geremia, F. Campos, S. Weston and M. Islam. MOGA-II for an Automotive Cooling Duct Optimization on Distributed Resources, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 633--644, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  2281. Carlo Poloni, M. Fearon and D. Ng. Parallelisation of Genetic Algorithms for Aerodynamic Design Optimisation. In Ian C. Parmee and M. J. Denham, editors, Proceedings of the Second International Conference on Adaptive Computing in Engineering Design and Control, pages 59-64, Plymouth, UK, 1996. University of Plymouth.
  2282. Carlo Poloni, Giovanni Mosetti and Stefano Contessi. Multiobjective Optimization by GAs: Application to System and Component Design. In Computational Methods in Applied Sciences '96: Invited Lectures and Special Technological Sessions of the Third ECCOMAS Computational Fluid Dynamics Conference and the Second ECCOMAS Conference on Numerical Methods in Engineering, pages 258-264, Chichester, 1996. Wiley.
  2283. S.G. Ponnambalam. Evolutionary Simulated Hybrid Search Algorithms for Flow Line Scheduling, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 826--830, Vol. 2, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.
  2284. Wolfgang Ponweiser and Markus Vincze. The Multiple Multi Objective Problem---Definition, Solution and Evaluations, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 877--892, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  2285. A. Povoleri, M. Lavagna and A.E. Finzi. Aero-Gravity Assisted Manoeuvres within Preliminary Interplanetary Mission Design: A Multi-Objective Evolutive Algorithm Approach, in 18th International Symposium on Space Flight Dynamics,Haus der Bayerischen Wirtschaft, Munich, Germany, October 2004.
  2286. David Powell and Joel Hollingsworth. A NSGA-II, Web-Enabled, Parallel Optimization Framework for NLP and MINLP, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 2145--2150, Vol. 2, ACM Press, London, UK, July 2007.
  2287. Pyari Mohan Pradhan, Vikas Baghel and Mulgrew Bernard. Energy Efficient Layout for a Wireless Sensor Network using Multi-Objective Particle Swarm Optimization, in 2009 IEEE International Advance Computing Conference (IACC 2009), pp. 65--70, IEEE Computer Society, Patiala, India, March, 2009.
  2288. Kata Praditwong and Xin Yao. How Well Do Multi-objective Evolutionary Algorithms Scale to Large Problems, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3959--3966, IEEE Press, Singapore, September 2007.
  2289. Kata Praditwong and Xin Yao. A new multi-objective evolutionary optimisation algorithm: The two-archive algorithm, in Yuping Wang, Yiu-ming Cheung and Hailin Liu (editors), Computational Intelligence and Security, International Conference, CIS 2006, pp. 95--104, Springer. Lecture Notes in Computer Science 4456, Guangzhou, China, November 2007.
  2290. K. V. R. B. Prasad and Pravin M. Singru. Performance of Lognormal Probability Distribution in Crossover operator of NSGA-II algorithm, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 514--522, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  2291. P. Prathombutr, J. Stach and E.K. Park. An algorithm for traffic grooming in WDM optical mesh networks with multiple objectives, in Proceedings of the 12th International Conference on Computer Communications and Networks (ICCCN 2003), pp. 405--411, IEEE, October 2003.
  2292. Mike Preuss, Günter Rudolph and Feelly Tumakaka. Solving Multimodal Problems via Multiobjective Techniques with Application to Phase Equilibrium Detection, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 2703--2710, IEEE Press, Singapore, September 2007.
  2293. Mike Preuss, Catalin Stoean and Ruxandra Stoean. Niching Foundations: Basin Identification on Fixed-Property Generated Landscapes, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 837--844, ACM Press, Dublin, Ireland, July 12-16, 2011.
  2294. Christopher Priester, Kaname Narukawa and Tobias Rodemann. A Comparison of Different Algorithms for the Calculation of Dominated Hypervolumes, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 655--662, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  2295. Andy Pryke, Sanaz Mostaghim and Alireza Nazemi. Heatmap Visualization of Population Based Multi Objective Algorithms, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 361--375, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  2296. W. Pullan. Optimising Aspects of Network Survivability, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 115--120, IEEE Service Center, Piscataway, New Jersey, May 2002
  2297. T.H. Pulliam, M. Nemec, T. Hoslt and D.W. Zingg, Comparison of Evolutionary (Genetic) Algorithm and Adjoint Methods for Multi-Objective Viscous Airfoil Optimizations, in 41st Aerospace Sciences Meeting, Paper AIAA 2003-0298, Reno, Nevada, January 2003.
  2298. Anuradha Purohit, Narendra S. Chaudhari and Aruna Tiwari. Construction of Classifier with Feature Selection Based on Genetic Programming, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 1712--1716, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2299. Robin C. Purshouse and Peter J. Fleming. Why use Elitism and Sharing in a Multi-Objective Genetic Algorithm?, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 520--527, Morgan Kaufmann Publishers, San Francisco, California, July 2002.
  2300. Robin C. Purshouse and Peter J. Fleming. Conflict, Harmony and Independence: Relationships in Evolutionary Multi-criterion Optimisation, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 16--30, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  2301. Robin C. Purshouse and Peter J. Fleming. An Adaptive Divide-and-Conquer Methodology for Evolutionary Multi-criterion Optimisation, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 133--147, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  2302. Robin C. Purshouse and Peter J. Fleming. Evolutionary Multi-Objective Optimisation: An Exploratory Analysis, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 2066--2073, IEEE Press, Canberra, Australia, December 2003.
  2303. Robin C. Purshouse, Cezar Jalba and Peter J. Fleming. Preference-Driven Co-evolutionary Algorithms Show Promise for Many-Objective Optimisation, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 136--150, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  2304. Lisa Purvis, Steven Harrington, Barry O'Sullivan and Eugene C. Freuder. Creating personalized documents: an optimization approach, in Proceedings of the 2003 ACM Symposium on Document Engineering, pp. 68--77, ACM Press, Grenoble, France, November 2003.
  2305. Q

  2306. Sultan Noman Qasem and Siti Mariyam Hj. Shamsuddin. Improving Generalization of Radial Basis Function Network with Adaptive Multi-Objective Particle Swarm Optimization, in 2009 IEEE International Conference on Systems, Man, and Cybernetics, pp. 534--540, IEEE Computer Society, San Antonio, TX, USA, October, 2009.
  2307. B. Qian, L. Wang, D.X. Huang and X. Wang. Multi-objective flow shop scheduling using differential evolution, Intelligent Computing in Signal Processing and Pattern Recognition, Springer-Verlag, pp. 1125--1136, Lecture Notes in Control and Information Sciences Vol. 345, 2006.
  2308. Xiaoxue Qian, Xiangrong Zhang, Licheng Jiao and Wenping Ma. Unsupervised Texture Image Segmentation Using Multiobjective Evolutionary Clustering Ensemble Algorithm, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3560--3566, IEEE Service Center, Hong Kong, June 2008.
  2309. Ying Qiao. Modified Multi-Objective Particle Swarm Optimization Algorithm for Multi-objective Optimization Problems, in Ying Tan, Yuhui Shi and Zhen Ji (editors), Advances in Swarm Intelligence, Third International Conference, ICSI 2012, pp. 520--527, Springer. Lecture Notes in Computer Science Vol. 7331, Shenzhen, China, June 17-20, 2012.
  2310. Xu Qian, Tang Shengjing and Guo Jie. Evolutionary Algorithm for Multi-objective Optimization and Its Application in Unmanned Flight Vehicle Trajectory Control, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 937-940, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6.
  2311. Chao Qian, Yang Yu and Zhi-Hua Zhou. An Analysis on Recombination in Multi-Objective Evolutionary Optimization, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 2051--2058, ACM Press, Dublin, Ireland, July 12-16, 2011.
  2312. Ling Qing, Wu Gang and Wang Qiuping. Restricted Evolution Based Multimodal Function Optimization in Holographic Grating Design, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 789--794, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  2313. Fei-yue Qiu, Yu-shi Wu, Li-ping Wang and Bo Jiang. Bipolar preferences dominance based evolutionary algorithm for many-objective optimization, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 2153--2160, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2314. B. Y. Qu and P. N. Suganthan. Multi-objective Evolutionary Programming without Non-domination Sorting is up to Twenty Times Faster, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2934--2939, IEEE Press, Trondheim, Norway, May 2009.
  2315. Bo-Yang Qu and Ponnuthurai Nagaratnam Suganthan. Constrained multi-objective optimization algorithm with diversity enhanced differential evolution, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 1572--1578, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2316. Bo-Yang Qu and Ponnuthurai Nagaratnam Suganthan. Novel multimodal problems and differential evolution with ensemble of restricted tournament selection, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3480--3486, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2317. B.Y. Qu and P.N. Suganthan. Multi-Objective Differential Evolution based on the Summation of Normalized Objectives and Improved Selection Method, in 2011 IEEE Symposium on Differential Evolution (SDE'2011), pp. 88--95, IEEE Service Center, Paris, France, April 11-15, 2011.
  2318. Boyang Qu, Jing Liang, Ponnuthurai Nagaratnam Suganthan and Tiejun Chen. Ensemble of Clearing Differential Evolution for Multi-modal Optimization, in Ying Tan, Yuhui Shi and Zhen Ji (editors), Advances in Swarm Intelligence, Third International Conference, ICSI 2012, pp. 350--357, Springer. Lecture Notes in Computer Science Vol. 7331, Shenzhen, China, June 17-20, 2012.
  2319. Domenico Quagliarella and Alessandro Vicini. Sub-population Policies for a Parallel Multiobjective Genetic Algorithm with Applications to Wing Design, In 1998 IEEE International Conference On Systems, Man and Cybernetics, pp. 3142--3147, Vol. 4, San Diego, California, October 1998. Institute of Electrical and Electronic Engineers (IEEE).
  2320. Domenico Quagliarella and Alessandro Vicini. Designing High-Lift Airfoils Using Genetic Algorithms, In Kaisa Miettinen, Marko M. Mäkelä, Pekka Neittaanmäki and Jacques Periaux, editors, Proceedings of EUROGEN'99, Jyväskylä, Finland, 1999. University of Jyváskylä.
  2321. D. Quagliarella and A. Vicini. GAs for Aerodynamic Shape Design II: Multiobjective Optimization and Multi-Criteria Design, in Von Karman Institute Lecture Series 2000-07. Genetic Algorithms for Optimisation in Aeronautics and Turbomachinery, May 2000.
  2322. Nestor V. Queipo, Joseph A.C. Humphrey and Alfonso Ortega. Multiobjective Optimization of Component Placement on Printed Wiring Boards, in 1996 Inter-Society Conference on Thermal Phenomena in Electronic Systems, pp. 359--372, IEEE, 1996.
  2323. Nestor V. Queipo and Guy F. Gil. Multiobjective Optimization of Component Placement on Planar Printer Wiring Boards, in Thirteen Annual IEEE Semiconductor Thermal Measurement and Management Symposium, pp. 92--105, IEEE, 1997.
  2324. Juan C. Quiroz, Sushil J. Louis, Amit Banerjee and Sergiu M. Dascalu. Towards Creative Design Using Collaborative Interactive Genetic Algorithms, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1849--1856, IEEE Press, Trondheim, Norway, May, 2009.
  2325. R

  2326. Bassem S. Rabil, Mona A. Fahny and Gamal M. Aly. Task Allocation Using Inherited Area Density Multiobjective Particle Swarm Optimization, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3300--3307, IEEE Press, Singapore, September 2007.
  2327. Lily Rachmawati and Dipti Srinivasan. A Hybrid Fuzzy Evolutionary Algorithm for a Multi-Objective Resource Allocation Problem, in Nadia Nedjah, Luiza M. Mourelle, Marley M.B.R. Vellasco, Ajith Abraham and Mario Köppen (editors), Fifth International Conference on Hybrid Intelligent Systems (HIS'05), pp. 55--60, IEEE Computer Society, Los Alamitos, California, USA, November, 2005.
  2328. L. Rachmawati and D. Srinivasan. Preference Incorporation in Multi-objective Evolutionary Algorithms: A Survey, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3385--3391, IEEE, Vancouver, BC, Canada, July 2006.
  2329. L. Rachmawati and D. Srinivasan. A Multi-Objective Genetic Algorithm with Controllable Convergence on Knee Regions, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 6807--6814, IEEE, Vancouver, BC, Canada, July 2006.
  2330. Lily Rachmawati and Dipti Srinivasan. A Multi-objective Evolutionary Algorithm with Weighted-Sum Niching for Convergence on Knee Regions, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 749--750, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  2331. L. Rachmawati and D. Srinivasan. Dynamic Resizing for Grid-Based Archiving in Evolutionary Multi-Objective Optimization, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3975--3982, IEEE Press, Singapore, September 2007.
  2332. L. Rachmawati and D. Srinivasan. Multi-Objective Evolutionary Algorithm-Assisted Automated Parallel Parking, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 4131--4138, IEEE Service Center, Hong Kong, June 2008.
  2333. Lily Rachmawati and Dipti Srinivasan. Incorporation of imprecise goal vectors into evolutionary multi-objective optimization, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 2958--2965, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2334. Juan Rada and Rubén Parma and Wilmer Pereira. Path Optimization for Multiple Objectives in Directed Graphs Using Genetic Algorithms, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 153--156, IEEE Service Center, Hong Kong, June 2008.
  2335. D. Radasanu and E. Barladeanu. A Fuzzy Multiobjective Approach for Optimal Operation of Distribution Systems using Evolutionary Algorithms, in 16th International Conference and Exhibition on Electricity Distribution, Vol. 5, pp. 32--35, IEEE, 2001.
  2336. Paulo V.W. Radtke, Luiz S. Oliveira, Robert Sabourin and Tony Wong. Intelligent Zoning Design Using Multi-Objective Evolutionary Algorithms, in Proceedings of the 7th International Conference on Document Analysis and Recognition---ICDAR'2003, pp. 824--828, Edinburgh, Scotland, August 2003.
  2337. Paulo V.W. Radtke, Tony Wong and Robert Sabourin. A Multi-objective Memetic Algorithm for Intelligent Feature Extraction, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 767--781, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  2338. Paulo V.W. Radtke, Tony Wong and Robert Sabourin. An Evaluation of Over-Fit Control Strategies for Multi-Objective Evolutionary Optimization, in 2006 International Joint Conference on Neural Networks (IJCNN'2006), pp. 6359--6366, IEEE, Vancouver, BC, Canada, July 2006.
  2339. Anne M. Raich and Tamas R. Liszkai. Multi-Objective Genetic Algorithms for Sensor Layout Optimization in Structural Damage Detection, in Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark J. Embrechts and Okan Ersoy (editors), Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life (ANNIE'2003), pp. 889--894, ASME Press, November 2003.
  2340. A. Raich and K. Fritz. Benefits of Implicit Redundat Representation Genetic Algorithms for Conceptual Design and Damage Identification, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 6--13, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  2341. Larry Raisanen and Roger M. Whitaker. Multi-objective optimization in area coverage problems for cellular communication networks: evaluation of an elitist evolutionary strategy, in Symposium on Applied Computing. Proceedings of the 2003 ACM symposium on Applied computing, pp. 714--720, ACM Press, Melbourne, Florida, USA, 2003.
  2342. Arezoo Rajaei, Mahboobeh Houshmand and Modjtaba Rouhani. Optimization of Combinational Logic Circuits Using NAND Gates and Genetic Programming, in António Gaspar-Cunha, Ricardo Takahashi, Gerald Schaefer and Lino Costa (editors), Soft Computing in Industrial Applications, pp. 405--414, Springer, Advances in Intelligent and Soft Computing Series, Vol. 96, Berlin, 2011, ISBN 978-3-642-20504-0.
  2343. Ramesh Rajagopalan, Chilukuri K. Mohan, Kishan G. Mehrotra and Pramod K. Varshney. Evolutionary multi-objective crowding algorithm for path computations, in Fifth International Conference on Knowledge Based Computer Systems (KBCS'2004), pp. 46-55, Hyderabad, India, December 2004.
  2344. Ramesh Rajagopalan, Chilukuri Mohan, Pramod Varshney and Kishan Mehrotra. Multi-objective Mobile Agent Routing in Wireless Sensor Networks, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1730--1737, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.
  2345. Ramesh Rajagopalan, Chilukuri K. Mohan, Kishan Mehrotra and Pramod K. Varshney. An Evolutionary Multi-objective Crowding Algorithm (EMOCA): Benchmark Test Function Results, in Bhanu Prasad (editor), 2nd Indian International Conference on Artificial Intelligence (IICAI'2005), pp. 1488-1506, IICAI, Pune, India, December 2005.
  2346. Ramesh Rajagopalan, Pramod K. Varshney, Chilukuri K. Mohan and Kishan G. Mehrotra. Sensor placement for energy efficient target detection in wireless sensor networks: A multi-objective optimization approach, in 39th Annual Conference on Information Sciences and Systems, Baltimore, Maryland, USA, March 2005.
  2347. Ramesh Rajagopalan, Pramod K. Varshney, Kishan G. Mehrotra and Chilukuri K. Mohan. Fault tolerant mobile agent routing in sensor networks: A multi-objective optimization approach, in 2nd IEEE Upstate NY Workshop on Communications and Networking, November 2005.
  2348. Menaka Rajapakse, Bertil Schmidt and Vladimir Brusic. Multi-objective evolutionary algorithm for discovering peptide binding motifs, in Franz Rothlauf et al. (editors), Applications of Evolutionary Computing. EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART and EvoSTOC, pp. 149--158, Springer, Lecture Notes in Computer Science Vol. 3907, Budapest, Hungary, April 2006.
  2349. Pratyusha Rakshit, Arup Kumar Sadhu, Preetha Bhattacharjee, Amit Konar and Ramadoss Janarthanan. Multi-Robot Box-Pushing Using Non-dominated Sorting Bee Colony Optimization Algorithm, in Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das and Suresh Chandra Satapathy (editors), Swarm, Evolutionary, and Memetic Computing, Second International Conference, SEMCCO 2011, pp. 601--609, Springer. Lecture Notes in Computer Science Vol. 7076, Visakhapatnam, Andhra Pradesh, India, December 19-21, 2011.
  2350. Pratyusha Rakshit, Amit Konar, Eunjin Kim and Atulya K. Nagar. Muti-Objective Evolutionary Approach of Ligand Design for Protein-Ligand Docking Problem, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 237--244, IEEE Press, Cancún, México, 20-23 June, 2013.
  2351. Pratyusha Rakshit, Amit Konar, Eunjin Kim and Atulya K. Nagar. DEMO-TDQL: An Adaptive Multi-objective Optimization Algorithm, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 3095--3102, IEEE Press, Cancún, México, 20-23 June, 2013.
  2352. Subramanian Ramesh, Subramanian Kannan and Subramanian Baskar. Application of an Improved Generalized Differential Evolution Algorithm to Multi-objective Optimization Problems, in Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das and Suresh Chandra Satapathy (editors), Swarm, Evolutionary, and Memetic Computing, Second International Conference, SEMCCO 2011, pp. 79--86, Springer. Lecture Notes in Computer Science Vol. 7076, Visakhapatnam, Andhra Pradesh, India, December 19-21, 2011.
  2353. I.J. Ramírez-Rosado, J. L. Bernal-Agustín, V. Miranda and L. M. Barbosa-Proenca. Multiobjective Planning of Power Distribution Systems Using Evolutionary Algorithms, In 8th IASTED International Conference (Modelling, Identification and Control-MIC'99), Innsbruck, Austria, February 1999.
  2354. S. S. Rao. Genetic Algorithmic Approach for Multiobjective Optimization of Structures. In ASME Annual Winter Meeting, Structures and Controls Optimization, volume AD-Vol. 38, pages 29-38, New Orleans, Louisiana, November 1993. ASME.
  2355. A. Rama Mohan Rao, K.C.M. Reddy and N. Arvind. Multi-objective design of laminate composites using evolutionary algorithms and artificial intelligence, in Proceedings of the International Structural Engineering Convention, pp. 290--299, SEC-2003, 2003.
  2356. Nalluri Madhusudana Rao, Diptendu Sinha Roy and Dusmanta K. Mohanta. Application of NSGA-II to Power System Topology Based Multiple Contingency Scrutiny for Risk Analysis, in Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das and Suresh Chandra Satapathy (editors), Swarm, Evolutionary, and Memetic Computing, Second International Conference, SEMCCO 2011, pp. 706--713, Springer. Lecture Notes in Computer Science Vol. 7076, Visakhapatnam, Andhra Pradesh, India, December 19-21, 2011.
  2357. Carlo R. Raquel and Prospero C. Naval, Jr. An Effective Use of Crowding Distance in Multiobjective Particle Swarm Optimization, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 257--264, Vol. 1, ACM Press, New York, USA, June 2005.
  2358. Farzan Rashidi and Mehran Rashidi. Limit Cycle Prediction in Multivariable Nonlinear Systems Using Genetic Algorithms, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 60--68, Seattle, Washington, USA, June 2004.
  2359. Frédéric Ratle, Benoît Lecarpentier, Richard Labib and Fracçois Trochu. Multi-objective Optimization of a Composite Material Spring Design Using an Evolutionary Algorithm, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 803--811, Birmingham, UK, September 2004.
  2360. Tapabrata Ray, Tai Kang and Seow Kian Chye. An Evolutionary Algorithm for Constrained Optimization. In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 771-777, San Francisco, California, 2000. Morgan Kaufmann.
  2361. Tapabrata Ray. Constrained Robust Optimal Design using a Multiobjective Evolutionary Algorithm, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 419--424, IEEE Service Center, Piscataway, New Jersey, May 2002.
  2362. Tapabrata Ray, Poan Choy Ling and Tai Kang. A New Fitness Assignment and Parent Selection Strategy Within an Evolutionary Algorithm for Constrained Optimization Problems, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 31--35, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.
  2363. Tapabrata Ray and Ruhul Sarker. Multiobjective Evolutionary Approach to the Solution of Gas Lift Optimization Problems, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 10951--10957, IEEE, Vancouver, BC, Canada, July 2006.
  2364. Tapabrata Ray, Md Asafuddoula and Amitay Isaacs. A Steady State Decomposition Based Quantum Genetic Algorithm for Many Objective Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2817--2824, IEEE Press, Cancún, México, 20-23 June, 2013.
  2365. Gustavo Recio and Kalyanmoy Deb. Solving Clustering Problems Using Bi-Objective Evolutionary Optimisation and Knee Finding Algorithms, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2848--2855, IEEE Press, Cancún, México, 20-23 June, 2013.
  2366. William J. Reckhouse, Jonathan E. Fielsdend and Richard M. Everson. Variable interactions and exploring parameter space in an expensive optimisation problem: Optimising Short Term Conflict Alert, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 4608--4615, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2367. A. Raji Reddy and Kalyanmoy Deb. Identification of Multiple Gene Subsets Using Multi-objective Evolutionary Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 623--637, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  2368. Patrick M. Reed, Barbara S. Minsker and David E. Goldberg.Designing a New Elitist Nondominated Sorted Genetic Algorithm for a Multiobjective Long Term Groundwater Monitoring Application, Proceedings of the 2001 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 352--358, San Francisco, California, July 2001.
  2369. Patrick M. Reed, Barbara S. Minsker and David E. Goldberg.The Practitioner's Role in Competent Search and Optimization Using Genetic Algorithms, in Don Phelps and Gerald Sehlke (editors), Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges. Proceedings of the World Water and Environmental Resources Congress, American Society of Civil Engineers. ISBN 0-7844-0569-7, Washington, DC, 2001.
  2370. Patrick M. Reed, Barbara S. Minsker and David E. Goldberg.Why Optimize Long Term Groundwater Monitoring Design? A Multiobjective Case Study of Hill Air Force Base, in Don Phelps and Gerald Sehlke (editors), Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges. Proceedings of the World Water and Environmental Resources Congress, American Society of Civil Engineers. ISBN 0-7844-0569-7, Washington, DC, 2001.
  2371. Patrick M. Reed, Barbara S. Minsker and David E. Goldberg.Designing a New Elitist Nondominated Sorted Genetic Algorithm for a Multiobjective Long Term Groundwater Monitoring Application, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 1454, Morgan Kaufmann Publishers, San Francisco, California, July 2001.
  2372. Patrick M. Reed and Barbara S. Minsker. Discovery and Negotiation using Multiobjective Genetic Algorithms: A Case Study in Groundwater Monitoring Design, in R.A. Falconer, B. Lin, E.L. Harris and C.A.M.E. Wilson (editors), Hydroinformatics 2002, Volume Two: Software Tools and Management Systems, Proceedings of the 5th International Conference on Hydroinformatics, pp. 988--993, IWA Publishing, London 2002.
  2373. Edgar Reehuis and Thomas Bäck. Mixed-Integer Evolution Strategy Using Multiobjective Selection Applied to Warehouse Design Optimization, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 1187--1194, ACM Press, Portland, Oregon, USA, July 7--11, 2010. ISBN 978-1-4503-0072-8. .
  2374. Habib ur Rehman, Imran Zaka, Muhammad Naeem, Syed Ismail Shah and Jamil Ahmad. Minimum Bit Error Rate Multiuser Detection for OFDM-SDMA Using Particle Swarm Optimization, in De-Shuang Huang, Laurent Heutte and Marco Loog (editors), Advanced Intelligent Computing Theories and Applications With Aspects of Theoretical and Methodological Issues, Third International Conference on Intelligent Computing, ICIC 2007, pp. 1247--1256, Springer. Lecture Notes in Computer Science Vol. 4681, Qingdao, China, August 21-24, 2007.
  2375. Dirk Reichelt and Lars Mönch. Multiobjective Scheduling of Jobs with Incompatible Families on Parallel Batch Machines, in Jens Gottlieb and Günther R. Raidl (editors), Evolutionary Computation in Combinatorial Optimization, 6th European Conference, EvoCOP 2006, pp. 209--221, Springer. Lecture Notes in Computer Science Vol. 3906, Budapest, Hungary, April 2006.
  2376. Brahim Rekiek, Fabrice Pellichero, Pierre De Lit, Emanuel Falkenauer and Alain Delchambre. A Resource Planner for Hybrid Assembly Lines. In Proceedings of the 15th International Conference on CAD/CAM Robotics & Factories of the Future CAR & FOF'99, volume 1, pages MW6-18-MW6-23, August 1999.
  2377. Brahim Rekiek. Multiple-Objectives Genetic Algorithm. In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, page 401, Orlando, Florida, July 1999.
  2378. Brahim Rekiek, Pierre De Lit, Fabrice Pellichero, Thomas L'Eglise, Emanuel Falkenauer and Alain Delchambre. Dealing With User's Preferences in Hybrid Assembly Lines Design. In Proceedings of the MCPL'2000 Conference, 2000.
  2379. Xiaolin Ren and Barbara Minsker. Which Groundwater Remediation Objective is Better, a Realistic One or a Simple One?, in American Society of Civil Engineers (ASCE) Environmental & Water Resources Institute (EWRI) World Water & Environmental Resources Congress 2003 & Related Symposia, Philadelphia, PA, 2003.
  2380. Zhigang Ren, Muyi Wang and Jie Wu. A Novel Multimodal-Problem-Oriented Particle Swarm Optimization Algorithm, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 89--96, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  2381. Margarita Reyes Sierra and Carlos A. Coello Coello. Improving PSO-Based Multi-objective Optimization Using Crowding, Mutation and ε-Dominance, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 505--519, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  2382. Margarita Reyes Sierra and Carlos A. Coello Coello. Fitness Inheritance in Multi-Objective Particle Swarm Optimization, in 2005 IEEE Swarm Intelligence Symposium (SIS'05), pp. 116--123, IEEE Press, Pasadena, California, June 2005.
  2383. Margarita Reyes Sierra and Carlos A. Coello Coello. Coevolutionary Multi-objective Optimization using Clustering Techniques, in Alexander Gelbukh, Álvaro de Albornoz and Hugo Terashima-Marín (editors), MICAI 2005: Advances in Artificial Intelligence, Springer, pp. 603--612, Lecture Notes in Artificial Intelligence Vol. 3789, Monterrey, México, November 2005.
  2384. Margarita Reyes Sierra and Carlos A. Coello Coello. A Study of Fitness Inheritance and Approximation Techniques for Multi-Objective Particle Swarm Optimization, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 65--72, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  2385. Margarita Reyes Sierra and Carlos A. Coello Coello. On-line Adaptation in Multi-Objective Particle Swarm Optimization, in 2006 Swarm Intelligence Symposium (SIS'06), pp. 61--68, IEEE Press, Indianapolis, Indiana, USA, May 2006.
  2386. Margarita Reyes-Sierra and Carlos A. Coello Coello, Dynamic Fitness Inheritance Proportion For Multi-Objective Particle Swarm Optimization, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 89--90, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4.
  2387. Orlando Reyes, Gustavo Sánchez and Miguel Strefezza. Multiobjective GA-Fuzzy Logic Controller - Applied to a pH Reactor, in 6th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2009), pp. 384--389, Milan, Italy, July 2009.
  2388. Alan Reynolds and Beatriz de la Iglesia. Rule Induction Using Multi-Objective Metaheuristics: Encouraging Rule Diversity, in 2006 International Joint Conference on Neural Networks (IJCNN'2006), pp. 6375--6382, IEEE, Vancouver, BC, Canada, July 2006.
  2389. Alan Reynolds and Beatriz de la Iglesia. Rule Induction for Classification Using Multi-objective Genetic Programming, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 516--530, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  2390. Alan P. Reynolds and Beatriz de la Iglesia. Managing Population Diversity Through the Use of Weighted Objectives and Modified Dominance: An Example from Data Mining, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 99--106, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  2391. Alan P. Reynolds, David W. Corne and Beatriz de la Iglesia. A multiobjective GRASP for rule selection, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 643--650, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9.
  2392. Robert Reynolds and Dapeng Liu. Multi-Objective Cultural Algorithms, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1233--1241, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  2393. Gilberto Reynoso-Meza, Xavier Blasco, Javier Sanchis and Miguel Martínez. Multiobjective optimization algorithm for solving constrained single objective problems, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3418--3424, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2394. Gilberto Reynoso-Meza and Javier Sanchis and Xavier Blasco and Miguel Martínez. Design of Continuous Controllers Using a Multiobjective Differential Evolution Algorithm with Spherical Pruning, in Cecilia Di Chio, Stefano Cagnoni, Carlos Cotta, Marc Ebner and Anikó Ekárt, Anna I. Esparcia-Alcázar, Chi-Keong Goh, Juan J. Merelo, Ferrante Neri, Mike Preuss, Julian Togelius and Georgios N. Yannakakis (editors), Applications of Evolutionary Computation, EvoApplicatons 2010: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, pp. 532--541, Springer. Lecture Notes in Computer Science Vol. 6024, Istanbul, Turkey, April 7-9, 2010.
  2395. Gilberto Reynoso-Meza, Javier Sanchis, Xavier Blasco and Miguel Martínez. An Empirical Study on Parameter Selection for Multiobjective Optimization Algorithms Using Differential Evolution, in 2011 IEEE Symposium on Differential Evolution (SDE'2011), pp. 73--79, IEEE Service Center, Paris, France, April 11-15, 2011.
  2396. Hamed Rezaie, Naser NematBaksh and Farhad Mardukhi. A Multi-Objective Particle Swarm Optimization for Web Service Composition, in Filip Zavoral, Jakub Yaghob, Pit Pichappan and Eyas El-Qawasmeh (editors), Networked Digital Technologies, Second International Conference, NDT 2010, pp. 112--122, Prague, Czech Republic, July 7-9, 2010.
  2397. Zach D. Richards and Kimon Valavanis. Particle Swarm trade-off curve analysis for bi-objective optimization, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3749--3754, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2398. Hendrik Richter. An Evolutionary Algorithm for Controlling Chaos: The Use of Multi-objective Fitness Functions, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 308--317, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002.
  2399. Jan Richter and Irene Moser. A distributed multiobjective approach to negotiations in semi-competitive environments, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 3136--3142, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2400. Jeffrey P. Ridder and Jason C. HandUber. Mission Planning for Joint Supression of Enemy Air Defenses Using a Genetic Algorithm, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1929--1936, Vol. 2, ACM Press, New York, USA, June 2005.
  2401. John Rieffel and Jordan Pollack. The Emergence of Ontogenic Scaffolding in a Stochastic Development Environment, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 804--815, Seattle, Washington, USA, June 2004.
  2402. John Rieffel and Jordan Pollack. Evolving Assembly Plans for Fully Automated Design and Assembly, in Jason Lohn, David Gwaltney, Gregory Hornby, Ricardo Zebulum, Didier Keymeulen and Adrian Stoica (editors), 2005 NASA/DoD Conference on Evolvable Hardware, pp. 165--170, IEEE Computer Society Press, Los Alamitos, California, July 2005.
  2403. John Rieffel and Jordan Pollack. Automated Assembly as Situated Development: Using Artificial Ontogenies to Evolve Buildable 3-D Objects, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 99--106, Vol. 1, ACM Press, New York, USA, June 2005.
  2404. John Rieffel and Jordan Pollack. Crossing the Fabrication Gap: Evolving Assembly Plans to Build 3-D Objects, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 529--536, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  2405. Enrico Rigoni and Alessandro Turco. Metamodels for Fast Multi-Objective optimization: Trading Off Global Exploration and Local Exploitation, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 523--532, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  2406. Kazi Shah Nawaz Ripon and M. N. H. Siddique. Evolutionary Multi-Objective Clustering for Overlapping Clusters Detection, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 976--982, IEEE Press, Trondheim, Norway, May 2009.
  2407. Kazi Shah Nawaz Ripon, Kashif Nizam Khan, Kyree Glette, Mats Hovin and Jim Torresen. Using Pareto-Optimality for Solving Multi-Objective Unequal Area Facility Layout Problem, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 681--688, ACM Press, Dublin, Ireland, July 12-16, 2011.
  2408. José L. Risco-Martín, J. Ignacio Hidalgo, David Atienza, Juan Lanchares and Oscar Garnica. Mixed heuristic and mathematical programming using reference points for dynamic data types optimization in multimedia embedded systems, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1601--1608, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9.
  2409. Francisco Rivas-Dávalos and Malcolm R. Irving. An Approach Based on the Strength Pareto Evolutionary Algorithm 2 for Power Distribution System Planning, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 707--720, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  2410. F. Rivas-Dávalos, E. Moreno-Goytia, G. Gutiérrez-Alacaraz and J. Tovar-Hernández. Evolutionary Multi-Objective Optimization in Power Systems: State-of-the-Art, in 2007 IEEE Lausanne Power Tech, pp. 2093--2098, IEEE Computer Society Press, Lausanne, Switzerland, July 1-5, 2007.
  2411. Tea Robic and Bogdan Filipic. DEMO: Differential Evolution for Multiobjective Optimization, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 520--533, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  2412. Daniel A.M. Rocha, Elizabeth F. Gouvêa Goldbarg and Marco César Goldbarg. A Memetic Algorithm for the Biobjective Minimum Spanning Tree Problem, in Jens Gottlieb and Günther R. Raidl (editors), Evolutionary Computation in Combinatorial Optimization, 6th European Conference, EvoCOP 2006, pp. 222--233, Springer. Lecture Notes in Computer Science Vol. 3906, Budapest, Hungary, April 2006.
  2413. Miguel Rocha, Pedro Sousa, Miguel Rio and Paulo Cortez. QoS Constrained Internet Routing with Evolutionary Algorithms, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 9270--9277, IEEE, Vancouver, BC, Canada, July 2006.
  2414. Miguel Rocha, Pedro Sousa, Paulo Cortez and Miguel Rio. Evolutionary Computation for Quality of Service Internet Routing Optimization, in Mario Giacobini et al. (Editors), Applications of Evolutionary Computing. EvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG, pp. 71--80, Springer. Lecture Notes in Computer Science Vol. 4448, Valencia, Spain, April 2007.
  2415. Daniel A. M. Rocha, Elizabeth F. G. Goldbarg and Marco C. Goldbarg. A New Evolutionary Algorithm for the Bi-objective Minimum Spanning Tree, in Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications (ISDA'07), pp. 735--740, Vol. 1, IEEE Computer Society, Rio de Janeiro, Brazil, 2007.
  2416. Miguel Rocha, Tiago Sa, Pedro Sousa, Paulo Cortez and Miguel Rio. Multiobjective Evolutionary Algorithms for Intradomain Routing Optimization, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2272--2279, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  2417. F. Rocha, N. Lourenço, R. Póvoa, R. Martins and N. Horta. A New Metaheuristc Combining Gradient Models with NSGA-II to Enhance Analog IC Synthesis, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2781--2788, IEEE Press, Cancún, México, 20-23 June, 2013.
  2418. Mayron Rodrigues de Almeida, Marco Aurélio Cavalcanti Pacheco, Sílvio Hamacher and Marley B.R. Vellasco. The Energy Minimization Method: A Multiobjective Fitness Evaluation Technique and Its Application to the Production Scheduling in a Petroleum Refinery, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, IEEE Service Center, Piscataway, New Jersey, pp. 560--567, May 2001.
  2419. Katya Rodríguez-Vázquez, Carlos M. Fonseca and Peter J. Fleming. Multiobjective Genetic Programming : A Nonlinear System Identification Application, In John R. Koza, editor, Late Breaking Papers at the Genetic Programming 1997 Conference, pages 207-212, Stanford University, California, July 1997. Stanford Bookstore.
  2420. Katya Rodríguez-Vázquez and Peter J. Fleming. A Genetic Programming/NARMAX Approach to Non-Linear System Identification. In Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA'97), pages 409-414, 1997.
  2421. Katya Rodríguez-Vázquez and Peter J. Fleming. Multiobjective Genetic Programming for a Gas Turbine Engine Model Identification, In UKACC International Conference on Control'98, Vol. 2, pages 1385-1390, 1998.
  2422. Katya Rodríguez-Vázquez and Peter J. Fleming. Non-Linear System Identification: Use of Genetic Programming to Satisfy Multiple Objectives. In Ajtonyi and Czap, editors, INTCOM'98 Symposium on Intelligent Systems in Control and Measurement, pages 148-154, 1998.
  2423. Katya Rodríguez-Vázquez and Peter J. Fleming. Genetic Programming for Dynamic Chaotic Systems Modelling. In 1999 Congress on Evolutionary Computation, pages 22-28, Washington, D.C., July 1999. IEEE Service Center.
  2424. Katya Rodríguez-Vázquez. Identification of MIMO Non-Linear Systems Using Evolutionary Computation. In Late Breaking Papers at the 2000 Genetic and Evolutionary Computation Conference, pages 411-417, Las Vegas, Nevada, July 2000.
  2425. Katya Rodríguez Vázquez and Peter J. Fleming. Functionality and Optimality in Circuit Design: A Genetic Programming Approach. In Proceedings of the Third International Symposium on Adaptive Systems--Evolutionary Computation and Probabilistic Graphical Models, Institute of Cybernetics, Mathematics and Physics, pages 23--28, Havana, Cuba, March 19-23 2001.
  2426. Jorge E. Rodríguez andrés L. Medaglia and Juan P. Casas. Approximation to the Optimum Design of a Motorcycle Frame using Finite Element Analysis and Evolutionary Algorithms, in Ellen J. Bass (editor), Proceedings of the 2005 IEEE Systems and Information Engineering Design Symposium, IEEE Press, pp. 277--285, 2005.
  2427. Andrés F. Rodríguez, Traci A. Keller, Gary B. Lamont and Thomas R. Nelson. Using a Multiobjective Evolutionary Algorithm to Develop a Quantum Cascade Laser Operating in the Terahertz Frequency Range, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 9--16, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  2428. Daniel Rodríguez, José C. Riquelme, Mercedes Ruiz and Rachel Harrison. Multiobjective simulation optimisation in software project management, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 1883--1890, ACM Press, Dublin, Ireland, July 12-16, 2011.
  2429. Cynthia A. Rodríguez Villalobos and Carlos A. Coello Coello. A New Multi-Objective Evolutionary Algorithm Based on a Performance Assessment Indicator, in 2012 Genetic and Evolutionary Computation Conference (GECCO'2012), pp. 505--512, ACM Press, Philadelphia, USA, July 2012, ISBN: 978-1-4503-1177-9 .
  2430. James L. Rogers. Optimum Actuator Placement with a Genetic Algorithm for Aircraft Control, In Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark J. Embrechts and Okan Ersoy, editors, Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Complex Systems (ANNIE'99), pages 355-360, New York, November 1999. ASME Press.
  2431. James L. Rogers. A Parallel Approach to Optimum Actuator Selection With A Genetic Algorithm, In AIAA Paper No. 2000-4484, AIAA Guidance, Navigation and Control Conference, Denver, Colorado, August 14-17 2000.
  2432. Antonio Bolufé Röhler and Stephen Chen. Multi-swarm hybrid for multi-modal optimization, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1759--1766, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2433. Antonio Bolufé-Röhler and Stephen Chen. Minimum Population Search - Lessons from building a heuristic technique with two population members, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2061--2068, IEEE Press, Cancún, México, 20-23 June, 2013.
  2434. Greg Rohling. Methods for Decreasing the Number of Objective Evaluations for Independent Computationally Expensive Objective Problems, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3304--3309, IEEE Service Center, Hong Kong, June 2008.
  2435. R. Romero-Zaliz, C. Rubio-Escudero, O. Cordon, O. Harari, C. del Val and I. Zwir. Mining structural databases: An evolutionary multi-objetive conceptual clustering methodology, in Franz Rothlauf et al. (editors), Applications of Evolutionary Computing. EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART and EvoSTOC, pp. 159--171, Springer, Lecture Notes in Computer Science Vol. 3907, Budapest, Hungary, April 2006.
  2436. Edmund Ronald. When Selection Meets Seduction. In Larry J. Eshelman, editor, Proceedings of the Sixth International Conference on Genetic Algorithms, pages 167-173, San Mateo, California, July 1995. University of Pittsburgh, Morgan Kaufmann Publishers.
  2437. Alejandro Rosales-Pérez, Carlos A. Coello Coello, Jesus A. Gonzalez, Carlos A. Reyes-García and Hugo Jair Escalante. A Hybrid Surrogate-Based Approach for Evolutionary Multi-Objective Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2548--2555, IEEE Press, Cancún, México, 20-23 June, 2013.
  2438. Brian J. Ross, William Ralph and Hai Zong. Evolutionary Image Synthesis Using a Model of Aesthetics, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3832--3839, IEEE, Vancouver, BC, Canada, July 2006.
  2439. Brian J. Ross. Evolution of Stochastic Bio-Networks Using Summed Rank Strategies, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 773--780, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  2440. Corina Rotar. An Evolutionary Technique for Multicriterial Optimization Based on Endocrine Paradigm, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 414--415, Seattle, Washington, USA, June 2004.
  2441. Corina Rotar, D. Dumitrescu and Rodica Lung. Guided Hyperplane Evolutionary Algorithm, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 884--891, Vol. 1, ACM Press, London, UK, July 2007.
  2442. Carl Rouhiainen and Moses O. Tade. Genetic Algorithms for Optimal Scheduling of Chlorine Dosing in Water Distribution Systems, in 20th Convention of the Australian Water Association, Perth, Australia, 6-10 April 2003.
  2443. C.J. Rouhiainen, M.O. Tade and G. West, Multi-Objective Genetic Algorithm for Optimal Scheduling of Chlorine Dosing in Water Distribution Systems, in C Maksimovic, D. Butler and F. Ali Memon (eds.), Advances in Water Supply Management, Proceedings of the International Conference on Computers and Control in the Water Industry (CCWI 2003), Imperial College, London, U.K., 15-17 September 2003, Balkema Publishers, The Netherlands, pages 459-469 .
  2444. Jon Rowe, Kevin Vinsen and Nick Marvin. Parallel GAs for Multiobjective Functions, In Jarmo T. Alander, editor, Proceedings of the Second Nordic Workshop on Genetic Algorithms and Their Applications (2NWGA), pages 61-70, Vaasa, Finland, August 1996. University of Vaasa.
  2445. Rajkumar Roy, Ahsutosh Tiwari, Olivier Munaux and Graham Jared. Real-life engineering design optimisation: Features and techniques, In J. Martikainen and J. Tanskanen (editors) CDROM Proceedings of the 5th Online World Conference on Soft Computing in Industrial Applications (WSC5)---ISBN 951-22-5205-8, IEEE Finland, 2000.
  2446. Abhishek Roy, Nilanjan Banerjee and Sajal K. Das. An Efficient Multi-Objective QoS Routing Algorithm for Real-Time Wireless Multicasting, in Preston Jackson (editor), IEEE Semiannual Vehicular Technology Conference, Vol. 3, pp. 1160--1164, IEEE, Birmingham, Alabama, May 2002.
  2447. Saurav Ghosh, Subhrajit Roy, Sk. Minhazul Islam, Shizheng Zhao, Ponnuthurai Nagaratnam Suganthan and Swagatam Das. Non-uniform Circular-Shaped Antenna Array Design and Synthesis - A Multi-Objective Approach, in Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das and Suresh Chandra Satapathy (editors), Swarm, Evolutionary, and Memetic Computing, Second International Conference, SEMCCO 2011, pp. 223--230, Springer. Lecture Notes in Computer Science Vol. 7077, Visakhapatnam, Andhra Pradesh, India, December 19-21, 2011.
  2448. Subhrajit Roy, Saúl Zapotecas Martínez, Carlos A. Coello Coello and Soumyadip Sengupta. A Multi-Objective Evolutionary Approach for Linear Antenna Array Design and Synthesis, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 3423--3430, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2449. Sohini Roychowdhury, Sanjoy Das, Caterina M. Scoglio, Swagatam Das, Bijaya K. Panigrahi and Shyam S. Pattnaik. Mitigation Strategies in Epidemics: Evolutionary Optimization Using a Hierarchy of Objective Functions, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 1325--1326, ACM Press, Portland, Oregon, USA, July 7--11, 2010. ISBN 978-1-4503-0072-8.
  2450. C. Rubio-Escudero, R. Romero-Zaliz, O. Cordón, O. Harari, C. del Val and I. Zwir. Optimal Selection of Microarray Analysis Methods Using a Conceptual Clustering Algorithm, in Franz Rothlauf et al. (editors), Applications of Evolutionary Computing. EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART and EvoSTOC, pp. 172--183, Springer, Lecture Notes in Computer Science Vol. 3907, Budapest, Hungary, April 2006.
  2451. A. Rubio-Largo, M.A. Vega-Rodríguez, J.A. Gómez-Pulido and J.M. Sánchez-Pérez. A Differential Evolution with Pareto Tournaments for Solving the Routing and Wavelength Assignment Problem in WDM Networks, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 129--136, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2452. Álvaro Rubio-Largo and Miguel A. Vega-Rodríguez and Juan A. Gómez-Pulido and Juan M. Sánchez-Pérez. Tackling the Static RWA Problem by Using a Multiobjective Artificial Bee Colony Algorithm, in Joan Cabestany, Ignacio Rojas and Gonzalo Joya (editors), Advances in Computational Intelligence, 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, pp. 364--371, Springer. Lecture Notes in Computer Science Vol. 6692, Torremolinos-Malaga, Spain, June 8-10, 2011.
  2453. Álvaro Rubio-Largo, Miguel A. Vega-Rodríguez, Juan A. Gómez-Pulido and Juan M. Sánchez-Pérez. A Multiobjective Gravitational Search Algorithm Applied to the Static Routing and Wavelength Assignment Problem, in Cecilia Di Chio, Anthony Brabazon, Gianni A. Di Caro, Rolf Drechsler, Muddassar Farooq, Jörn Grahl, Gary Greenfield, Christian Prins, Juan Romero, Giovanni Squillero, Ernesto Tarantino, Andrea G.B. Tettamanzi, Neil Urquhart and A. Sima Uyar (editors), Applications of Evolutionary Computation, EvoApplications 2011: EvoCOMNET, EvoFIN, EvoHOT, EvoMUSART, EvoSTIM, and EvoTRANSLOG, pp. 41--50, Springer. Lecture Notes in Computer Science Vol. 6625, Torino, Italy, April 27-29, 2011.
  2454. Álvaro Rubio-Largo, Qingfu Zhang and Miguel A. Vega-Rodríguez. MOEA/D for Traffic Grooming in WDM Optical Networks, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 663--670, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  2455. Olga Rudenko, Marc Schoenauer, Tiziana Bosio and Roberto Fontana. A Multiobjective Evolutionary Algorithm for Car Front End Design, in Pierre Collet, Cyril Fonlupt, Jin-Kao Hao, Evelyne Lutton and Marc Schoenauer (editors), Artificial Evolution, 5th International Conference, Evolution Artificielle, EA'2001. Selected Papers, pp. 205--216, Springer, Lecture Notes in Computer Science Vol. 2310, 2002.
  2456. Olga Rudenko and Marc Schoenauer. Dominance Based Crossover Operator for Evolutionary Multi-objective Algorithms, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 812--821, Birmingham, UK, September 2004.
  2457. Olga Roudenko and Marc Schoenauer. A Steady Performance Stopping Criterion for Pareto-based Evolutionary Algorithms, in Proceedings of the 6th International Multi-Objective Programming and Goal Programming Conference, Hammamet, Tunisia, April 14-16 2004.
  2458. Günter Rudolph. On a Multi-Objective Evolutionary Algorithm and Its Convergence to the Pareto Set, In Proceedings of the 5th IEEE Conference on Evolutionary Computation, pages 511-516, Piscataway, New Jersey, 1998. IEEE Press.
  2459. Günter Rudolph. Evolutionary Search for Minimal Elements in Partially Ordered Finite Sets. In V.W. Porto, N. Saravanan, D. Waagen and A.E. Eiben, editors, Evolutionary Programming VII, Proceedings of the 7th Annual Conference on Evolutionary Programming, pages 345-353, Berlin, 1998. Springer .
  2460. Günter Rudolph and Alexandru Agapie. Convergence Properties of Some Multi-Objective Evolutionary Algorithms,In Proceedings of the 2000 Conference on Evolutionary Computation, volume 2, pages 1010-1016, Piscataway, New Jersey, July 2000. IEEE Press.
  2461. Günter Rudolph. Evolutionary Search under Partially Ordered Fitness Sets. In Proceedings of the International NAISO Congress on Information Science Innovations (ISI 2001), pages 818-822. ICSC Academic Press: Millet/Sliedrecht, 2001.
  2462. Günter Rudolph. Some Theoretical Properties of Evolutionary Algorithms under Partially Ordered Fitness Values. In Cs. Fabian and I. Intorsureanu, editors, Proceedings of the Evolutionary Algorithms Workshop (EAW-2001), pages 9-22, Bucharest, Romania, January 2001.
  2463. Günter Rudolph. A Partial Order Approach to Noisy Fitness Functions, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, pp. 318--325, IEEE Service Center, Piscataway, New Jersey, 2001.
  2464. Günter Rudolph, Boris Naujoks and Mike Preuss. Capabilities of EMOA to Detect and Preserve Equivalent Pareto Subsets, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 36--50, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  2465. Günter Rudolph and Mike Preuss. A Multiobjective Approach for Finding Equivalent Inverse Images of Pareto-optimal Objective Vectors, in 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2009), pp. 74--79, IEEE Press, Nashville, TN, USA, March 30--April 2, 2009. ISBN 978-1-4244-2764-2.
  2466. Günter Rudolph. On Geometrically Fast Convergence to Optimal Dominated Hypervolume of Set-based Multiobjective Evolutionary Algorithms, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1719--1723, IEEE Service Center, New Orleans, Lousiana, USA, 5-8 June, 2011.
  2467. Harry C.S. Rughooputh and Robert T.F. Ah King. Environmental/Economic Dispatch of Thermal Units using an Elitist Multiobjective Evolutionary Algorithm, in Proceedings of the 2003 IEEE International Conference on Industrial Technology (ICIT 2003), Vol. 1, pp. 48--53, IEEE, Maribor, Slovenia, December 2003.
  2468. Liu Rui and Wang Xiaoya. Application of Improved Particle Swarm Optimization in Construction Contractors' Selection and Optimization, in 4th International Conference on Wireless Communications, Networking and Mobile Computing, 2008 (WiCOM'08), pp. 1--4, IEEE Computer Society Press, Dalian, China, October 12-17, 2008.
  2469. A. Rummler and A. Apetrei. Graph Partitioning Revised---A Multiobjective Perspective, in Proceedings of the 6th World Conference on Systemics, Cybernetics and Informatics, Orlando, Florida, USA, 2002.
  2470. Sauli Ruuska and Kaisa Miettinen. Constructing evolutionary algorithms for bilevel multiobjective optimization, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 374--380, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2471. Enrique H. Ruspini and Igor S. Zwir. Automated Qualitative Description of Measurements,In Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference, pp. 1086--1091, Vol. 2, IEEE Press, Venice, Italy, 1999.
  2472. Loecelia Ruvalcaba, Gabriel Correa and Vittorio Zanella. Multiobjective Evolutionary Algorithm for Redesigning Sales Territories, in Jürgen W. Böse, Hao Hu, Carlos Jahn, Xiaoning Shi, Robert Stahlbock and Stefan Voß (editors), Computational Logistics, Second International Conference, ICCL 2011, pp. 183--193, Springer. Lecture Notes in Computer Science Vol. 6971, Hamburg, Germany, September 19-22, 2011.
  2473. Conor Ryan. Racial Harmony and Function Optimization in Genetic Algorithms--The Races Genetic Algorithm, In John R. McDonnell, Robert G. Reynolds and David B. Fogel, editors, Evolutionary Programming IV: Proceedings of the Fourth Annual Conference on Evolutionary Programming, pages 109-125, Cambridge, Massachusetts, 1995. MIT Press.
  2474. Si-Jung Ryu, Ki-Baek Lee and Jong-Hwan Kim. Improved version of a multiobjective quantum-inspired evolutionary algorithm with preference-based selection, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1672--1678, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2475. S

  2476. Pal Saetrom and Magnus Lie Hetland, Multiobjective Evolution of Temporal Rules, in Proceedings of the 8th Scandinavian Conference on Artificial Intelligence, IOS Press, Bergen, Norway, November 2003.
  2477. Yago Saez, Asuncion Mochon, Jose Luis Gomez-Barroso and Pedro Isasi. A Multiobjective Approach for Bidding Recommendations in Combinatorial Auctions, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 458--462, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2478. Diego J. Bodas Sagi, Francisco J. Soltero, J. Ignacio Hidalgo, Pablo Fern´ndez and F. Fernandez. A technique for the optimization of the parameters of technical indicators with multi-objective evolutionary algorithms, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1896--1903, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2479. Amit Saha and Kalyanmoy Deb. A Bi-Criterion Approach to Multimodal optimization: Self-adaptive Approach, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 94--104, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  2480. Indrajit Saha, Dariusz Plewczyński, Ujjwal Maulik and Sanghamitra Bandyopadhyay. Consensus Multiobjective Differential Crisp Clustering for Categorical Data Analysis, in Marcin Szczuka, Marzena Kryszkiewicz, Sheela Ramanna, Richard Jensen and Qinghua Hu (editors), Rough Sets and Current Trends in Computing, 7th International Conference, RSCTC 2010, pp. 30--39, Springer. Lecture Notes in Artificial Intelligence Vol. 6086, Warsaw, Poland, June 28-30, 2010.
  2481. Amit Saha, Tapabrata Ray and Warren Smith. Towards Practical Evolutionary Robust Multi-Objective Optimization, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2123--2130, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  2482. Amit Saha and Tapabrata Ray. Equality constrained multi-objective optimization, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 47--53, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2483. Sadiq M. Sait, Habib Youseff and Hussain Ali. Fuzzy Simulated Evolution Algorithm for Multi-objective Optimization of VLSI Placement. In 1999 Congress on Evolutionary Computation, pages 91-97, Washington, D.C., July 1999. IEEE Service Center.
  2484. Sadiq M. Sait, Habib Youssed and Junaid A. Khan.Fuzzy Evolutionary Algorithm for VLSI Placement, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 1056--1063, Morgan Kaufmann Publishers, San Francisco, California, July 2001.
  2485. Sadiq M. Sait, Mahmood R. Minhas and Junaid A. Kha. Performance and Low Power Driven VLSI Standard Cell Placement using Tabu Search, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 372--377, IEEE Service Center, Piscataway, New Jersey, May 2002
  2486. Sadiq M. Sait, Mohammed Faheemuddin, Mahmood R. Minhas and Syed Sanaullah. Multiobjective VLSI Cell Placement using Distributed Genetic Algorithm, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1585--1586, Vol. 2, ACM Press, New York, USA, June 2005.
  2487. Sadiq M. Sait, Mohammed H. Sqalli and Mohammed Aijaz Mohiuddin. Engineering Evolutionary Algorithm to Solve Multi-objective OSPF Weight Setting Problem, in Abdul Sattar and Byeong Ho Kang (editors), AI 2006: Advances in Artificial Intelligence, 19th Australian Joint Conference on Artificial Intelligence, pp. 950--955, Springer. Lecture Notes in Computer Science Vol. 4304, Hobart, Australia, December 4-8 2006.
  2488. Yoshiaki Sakakura, Noriyuki Taniguchi, Yukinobu Hoshino and Katsuari Kamei. A Fuzzy Clustering Based Selection Method to Maintain Diversity in Genetic Algorithms, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 10364--10369, IEEE, Vancouver, BC, Canada, July 2006.
  2489. Masatoshi Sakawa, Kosuke Kato and Toshihiro Shibano. An interactive fuzzy satisficing method for multiobjective multidimensional 0-1 knapsack problems through genetic algorithms, In Proceedings of the 1996 International Conference on Evolutionary Computation (ICEC'96), pages 243-246, 1996.
  2490. Masatoshi Sakawa, Toshihiro Shibano and Kosuke Kato. An Interactive Fuzzy Satisficing Method for Multiobjective Integer Programming Problems through Genetic Algorithms, in L.C. Jain and R.K. Jain (Editors), Second International Conference on Knowledge-Based Intelligent Electronic Systems, pp. 94--100, IEEE, Adelaide, Australia, 1998.
  2491. Diego Sal and Manuel Graña. Hyperspectral image watermarking with an evolutionary algorithm, Knowledge-Based Intelligent Information and Engineering Systems, Pt 1, Proceedings, pp. 833--839, Springer, Lecture Notes in Artificial Intelligence Vol. 3681, 2005.
  2492. Daniel Salazar, Néstor Carrasquero and Blas Galván. Exploiting Comparative Studies Using Criteria: Generating Knowledge from an Analyst's Perspective, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 221--234, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  2493. Maximino Salazar-Lechuga and Jonathan E. Rowe. Particle Swarm Optimization and Fitness Sharing to solve Multi-Objective Optimization Problems, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1204--1211, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.
  2494. Maximino Salazar-Lechuga and Jonathan E. Rowe. Particle Swarm Optimization and auto-Fitness Sharing to Solve Multi-Objective Optimization Problems, in 2006 Swarm Intelligence Symposium (SIS'06), pp. 90--97, IEEE Press, Indianapolis, Indiana, USA, May 2006.
  2495. F. Sibel Salman, Jayan Kalagnanam and Sesh Murthy. Cooperative Strategies for Solving the Bicriteria Sparse Multiple Knapsack Problem, In 1999 Congress on Evolutionary Computation, pages 53--60, Washington, D.C., July 1999. IEEE Service Center .
  2496. Jan Salmen, Lukas Caup and Christian Igel. Real-Time Estimation of Optical Flow Based on Optimized Haar Wavelet Features, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 447--461, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  2497. Gustavo Sánchez, Minaya Villasana and Miguel Strefezza. Multi-objective Pole Placement with Evolutionary Algorithms, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 417--427, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  2498. Luciano Sánchez, Inés Couso and Jorge Casillas. Modelling Vague Data with Genetic Fuzzy Systems under a Combination of Crisp and Imprecise Criteria, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 30--37, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  2499. G. Sánchez, F. Jiménez and P. Vasant. Fuzzy Optimization with Multi-Objective Evolutionary Algorithms: a Case Study, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 58--64, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  2500. Gustavo Sánchez, Miguel Strefezza and Orlando Reyes. A Multi-Objective Approach To Approximate The Stabilizing Region For Linear Control Systems, in 6th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2009), pp. 153--158, Milan, Italy, July 2009.
  2501. Daniela Sánchez, Patricia Melin, Oscar Castillo and Fevrier Valdez. Modular Granular Neural Networks Optimization with Multi-Objective Hierarchical Genetic Algorithm for Human Recognition Based on Iris Biometric, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 772--778, IEEE Press, Cancún, México, 20-23 June, 2013.
  2502. Glenn Sanders and Tapabrata Ray. Optimal Offline Path Planning of a Fixed Wing Unmanned Aerial Vehicle (UAV) using an Evolutionary Algorithm, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 4410--4416, IEEE Press, Singapore, September 2007.
  2503. Nuntapon Sangkawelert and Nachol Chaiyaratana. Diversity Control in a Multi-Objective Genetic Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2704--2711, IEEE Press, Canberra, Australia, December 2003.
  2504. Ryosuke Sano, Takuya Shindo, Kenya Jin'no and Toshimichi Saito. PSO-based Multiple Optima Search Systems with Switched Topology, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 3301--3307, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2505. Luis Vicente Santana-Quintero and Carlos A. Coello Coello. An Algorithm Based on Differential Evolution for Multiobjective Problems, in Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark J. Embrechts and Okan Ersoy (editors), Smart Engineering System Design: Neural Networks, Evolutionary Programming and Artificial Life, Vol. 15, pp. 211--220, ASME Press, St. Louis, Missouri, USA, November 2005.
  2506. Luis V. Santana-Quintero, Víctor A. Serrano-Hernandez, Carlos A. Coello Coello, Alfredo G. Hernández-Díaz and Julián Molina. Use of Radial Basis Functions and Rough Sets for Evolutionary Multi-Objective Optimization, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 107--114, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  2507. Luis V. Santana-Quintero, Carlos A. Coello Coello and Alfredo G. Hernández-Díaz. Hybridizing Surrogate Techniques, Rough Sets and Evolutionary Algorithms to Efficiently Solve Multi-Objective Optimization Problems, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 763--764, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6 .
  2508. Luis Vicente Santana Quintero, Carlos Coello Coello, Alfredo G. Hernández-Díaz and Jesús Moisés Osorio Velázquez. Use of Particle Swarm to accelerate convergence in a Surrogate-based algorithm to solve Multi-objective Optimization Problems, in IEEE Swarm Intelligence Symposium 2008, IEEE Press, St. Louis, Missouri, USA, September 2008.
  2509. Roberto Santana, Concha Bielza, José Antonio Lozano and Pedro Larrañaga. Mining probabilistic models learned by EDAs in the optimization of multi-objective problems, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 445-452, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9.
  2510. R. A. Santana, M. R. Pontes and C. J. A. Bastos-Filho. A Multiple Objective Particle Swarm Optimization Approach using Crowding Distance and Roulette Wheel, in Ninth Conference on Intelligent Systems Design and Applications (ISDA'2009), pp. 237--242, IEEE Computer Society, Pisa, Italy, November-December, 2009.
  2511. Jorge Santana-Cabrera, José Miguel Monzón-Verona, Francisco Jorge Santana-Martín, Santiago García-Alonso and Juan Antonio Montiel-Nelson. Optimization of the Dimensionl Model of an Electrostatic Microswitch Based on AMGA Algorithm, in David Greiner, Blas Galván, Jacques Périaux, Nicolas Gauger, Kyriakos Giannakoglou and Gabriel Winter (Editors), Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2013), pp. 243--246, Universidad de las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain, October 7-9, 2013, ISBN 978-84-616-6249-4.
  2512. Amâncio Santos and António Dourado Pereira Correia. Constrained GA Applied to Production and Energy Mangement of a Pulp and Paper Mill, In Janice Carroll, Hisham Haddad, Dave Oppenheim, Barrett Bryant and Gary B. Lamont, editors, Proceedings of the 1999 ACM Symposium on Applied Computing, pp. 324--332, ACM Press, San Antonio, Texas, USA, 1999.
  2513. Eulanda M. Dos Santos, Robert Sabourin and Patrick Maupin. Pareto Analysis for the Selection of Classifier Ensembles, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 681--688, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6.
  2514. Jésus J. S. Santos, Diogo B. Oliveira, Elizabeth F. Wanner, Eduardo G. Carrano, Ricardo H. C. Takahashi, Elson J. Silva and Oriane M. Neto. Designing a Multilayer Microwave Heating Device Using a Multiobjective Genetic Algorithm, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 911-917, IEEE Press, Trondheim, Norway, May, 2009.
  2515. Eulanda M. dos Santos and Robert Sabourin. Classifier Ensembles Optimization Guided by Population Oracle, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 693--698, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  2516. Thiago Santos, Ricardo H. C. Takahashi and Gladston J. P. Moreira. A CMA Stochastic Differential Equation Approach for Many-Objective Optimization, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 3610--3615, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2517. B. Sareni, J. Regnier and X. Roboam. Recombination and self-adaptation in multi-objective genetic algorithms, in Pierre Liardet, Pierre Collet, Cyril Fonlupt, Evelyne Lutton and Marc Schoenauer (editors), Artificial Evolution, 6th International Conference, Evolution Artificielle, EA 2003, Revised Selected Papers, pp. 115--126, Springer-Verlag. Lecture Notes in Computer Science Vol. 2936, Marseille, France, October, 2004.
  2518. R. Sarker, K. Liang and C. Newton. A Multiobjective Evolutionary Algorithm, in International Computer Science Convention Congress on Intelligent Systems and Applications (ISA'2000), pp. 125--131, Vol. 2, Wollongong, Australia, 2000.
  2519. R. Sarker, H.A. Abbass and C. Newton. Solving Multiobjective Optimization Problems Using Evolutionary Algorithm, The International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA'2001), pp. 149--160, Las Vegas, Nevada, July 2001.
  2520. R. Sarker, H.A. Abbass and S. Karim.An Evolutionary Algorithm for Constrained Multiobjective Optimization Problems, The 5th Australasia-Japan Joint Workshop on Intelligent and Evolutionary Systems (AJWIS'2001), pp. 113--122, Dunedin, New Zealand, November 2001.
  2521. Ruhul Sarker, Tapabrata Ray and José Barahona da Fonseca. An Evolutionary Algorithm for Machine Layout and Job Assignment Problems, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3991--3997, IEEE Press, Singapore, September 2007.
  2522. Kumara Sastry, Hussein A. Abbass, David E. Goldberg and D.D. Johnson. Sub-Structural Niching in Estimation of Distribution Algorithms, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 671--678, Vol. 1, ACM Press, New York, USA, June 2005.
  2523. Kumara Sastry, Martin Pelikan and David E. Goldberg. Limits of Scalability of Multiobjective Estimation of Distribution Algorithms, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2217--2224, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.
  2524. Kumara Sastry, D.D. Johnson, Alexis L. Thompson, David E. Goldberg, Todd J. Martinez, Jeff Leiding and Jane Owens. Multiobjective Genetic Algorithms for Multiscaling Excited State Direct Dynamics in Photochemistry, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1745--1752, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  2525. Madan Sathe, Günter Rudolph and Kalyanmoy Deb. Design and Validation of a Hybrid Interactive Reference Point Method for Multi-Objective Optimization, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 2914--2921, IEEE Service Center, Hong Kong, June 2008.
  2526. Hiroshi Sato and Akira Namatame. Co-evolution in Social Interactions, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 1109--1114, May 2001.
  2527. Hiroyuki Sato, Hernán E. Aguirre and Kiyoshi Tanaka. Local Dominance Using Polar Coordinates to Enhance Multiobjective Evolutionary Algorithms, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 188--195, Portland, Oregon, USA, June 2004.
  2528. Hiroyuki Sato, Hernán E. Aguirre and Kiyoshi Tanaka. Enhanced Multi-objective Evolutionary Algorithms Using Local Dominance, in Proceedings of the 2004 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP 2004), pp. 319--322, The Research Institute of Signal Processing Japan, Hawaii, USA, March 2004.
  2529. Hiroyuki Sato, Hernán E. Aguirre and Kiyoshi Tanaka. On the Locality of Dominance and Recombination in Multiobjective Evolutionary Algorithms, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 451--458, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  2530. Masahiko Sato, Hernán E. Aguirre and Kiyoshi Tanaka. Effects of δ-Similar Elimination and Controlled Elitism in the NSGA-II Multiobjective Evolutionary Algorithm, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3980--398, IEEE, Vancouver, BC, Canada, July 2006.
  2531. Hiroyuki Sato, Hernán E. Aguirre and Kiyoshi Tanaka. Controlling Dominance Area of Solutions and Its Impact on the Performance of MOEAs, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 5--20, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  2532. Hiroyuki Sato, Hernán E. Aguirre and Kiyoshi Tanaka. Local Dominance Includong Control of Dominance Area of Solutions in MOEAs, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 310--317, IEEE Press, Honolulu, Hawaii, USA, April 2007.
  2533. Hiroyuki Sato, Hernán E. Aguirre and Kiyoshi Tanaka. Pareto partial dominance MOEA and hybrid archiving strategy included CDAS in many-objective optimization, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3720--3727, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2534. Hiroyuki Sato, Hernán E. Aguirre and Kiyoshi Tanaka. Self-Controlling Dominance Area of Solutions in Evolutionary Many-Objective Optimization, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 455--465, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  2535. Hiroyuki Sato, Hernán E. Aguirre and Kiyoshi Tanaka. Improved S-CDAS Using Crossover Controlling the Number of Crossed Genes for Many-Objective Optimization, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 753--760, ACM Press, Dublin, Ireland, July 12-16, 2011.
  2536. Hiroyuki Sato, Hernán E. Aguirre and Kiyoshi Tanaka. Genetic Diversity and Effective Crossover in Evolutionary Many-Objective Optimization, in Carlos A. Coello Coello (editor), Learning and Intelligent Optimization, 5th International Conference, LION 5, pp. 91--105, Springer. Lecture Notes in Computer Science Vol. 6683, Rome, Italy, January 17-21, 2011.
  2537. Hiroyuki Sato, Carlos A. Coello Coello, Hernán Aguirre and Kiyoshi Tanaka. Adaptive Control of the Number of Crossed Genes in Many-Objective Evolutionary Optimization, in Youssef Hamadi and Marc Schoenauer (editors), Learning and Intelligent Optimization, 6th International Conference, LION 6, pp. 478--484, Springer. Lecture Notes in Computer Science Vol. 7219, Paris, France, January 16-20, 2012.
  2538. Dragan A. Savic, Godfrey A. Walters and Martin Schwab. Multiobjective Genetic Algorithms for Pump Scheduling in Water Supply, In AISB International Workshop on Evolutionary Computing. Lecture Notes in Computer Science 1305, pages 227-236, Berlin, April 1997. Springer-Verlag.
  2539. Dhish Kumar Saxena and Kalyanmoy Deb. Non-linear Dimensionality Reduction Procedures for Certain Large-Dimensional Multi-objective Optimization Problems: Employing Correntropy and a Novel Maximum Variance Unfolding, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 772--787, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  2540. Dhish Kumar Saxena and Kalyanmoy Deb. Trading on Infeasibility by Exploiting Constraint's Critically Through Multi-objectivization: A System Design Perspective, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 919--926, IEEE Press, Singapore, September 2007.
  2541. Dhish Kumar Saxena and Kalyanmoy Deb. Dimensionality Reduction of Objectives and Constraints in Multi-Objective Optimization Problems: A System Design Perspective, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3203--3210, IEEE Service Center, Hong Kong, June 2008.
  2542. Dhish Kumar Saxena, Tapabrata Ray, Kalyanmoy Deb and Ashutosh Tiwari. Constrained Many-Objective Optimization: A Way Forward, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 545--552, IEEE Press, Trondheim, Norway, May 2009.
  2543. Dhish Kumar Saxena, Qingfu Zhang, João A. Duro and Ashutosh Tiwari. Framework for Many-Objective Test Problems with Both Simple and Complicated Pareto-Set Shapes, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 197--211, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  2544. T. M. Sayers and J. M. Anderson. The multi-objective optimisation of a traffic control system, In Avi Ceder, editor, Proceedings of 14th International Symposium on Transportation and Traffic Theory, pages 153-176, Haifa, Israel, July 1999. Technion-Israel, Institute of Technology, Transportation Research Institute.
  2545. Ivo F. Sbalzarini, Sibylle Müller and Petros Koumoutsakos. Multiobjective Optimization using Evolutionary Algorithms, Center for Turbulence Research. Proceedings of the 2000 Summer Program, NASA Ames/Stanford University, pp. 63--74, 2000.
  2546. J. David Schaffer. Multiple Objective Optimization with Vector Evaluated Genetic Algorithms. In Genetic Algorithms and their Applications: Proceedings of the First International Conference on Genetic Algorithms, pages 93-100. Lawrence Erlbaum, 1985.
  2547. J. David Schaffer and John J. Grefenstette. Multiobjective Learning via Genetic Algorithms. In Proceedings of the 9th International Joint Conference on Artificial Intelligence (IJCAI-85), pages 593-595, Los Angeles, California, 1985. AAAI.
  2548. Jens Scharnow, Karsten Tinnefeld and Ingo Wegener. Fitness Landscapes Based on Sorting and Shortest Paths Problems, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 54--63, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002.
  2549. R. Scheffermann, M. Bender and A. Cardeneo. Robust Solutions for Vehicle Routing Problems via Evolutionary Multiobjective Optimization, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1605--1612, IEEE Press, Trondheim, Norway, May, 2009.
  2550. Michael Scheffler and Gerhard Tröster. A Multi-Objective Test vs. Cost Optimization for Electronic Products, in Proceedings of the 26th IEEE/CPMT International Electronics Manufacturing Technology Symposium, pp. 344--351, IEEE, 2000.
  2551. Thomas Schlichter, Christian Haubelt and Jürgen Teich. Improving EA-based Design Space Exploration by Utilizing Symbolic Feasibility Tests, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1945--1952, Vol. 2, ACM Press, New York, USA, June 2005.
  2552. Frank Schlottmann and Detlef Seese. Hybrid multi-objective evolutionary computation of constrained downside risk-return efficient sets for credit portfolio, in Proceedings of the 8th International Conference of the Society for Computational Economics. Computing in Economics and Finance, Aix-en-Provence, France, June 2002.
  2553. Frank Schlottmann andreas Mitschele and Detlef Seese. A Multi-objective Approach to Integrated Risk Management, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 692--706, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  2554. Michael D. Schmidt and Hod Lipson. Discovering a Domain Alphabet, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1083--1090, ACM Press, Montreal, Canada, July 8--12, 2009. ISBN 978-1-60558-325-9 .
  2555. Michael D. Schmidt and Hod Lipson. Age-Fitness Pareto Optimization, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 543--544, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.
  2556. Frank Schmiedle, Nicole Drechsler, Draniel Große and Rolf Drechsler. Priorities in Multi-Objective Optimization for Genetic Programming, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 129--136, Morgan Kaufmann Publishers, San Francisco, California, July 2001.
  2557. Karlheinz Schmitt, Jörn Mehnen and Thomas Michelitsch. Using Predators and Preys in Evolution Strategies, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 827--828, Vol. 1, ACM Press, New York, USA, June 2005.
  2558. I. L. Schoeman and A. P. Engelbrecht. A Parallel Vector-Based Particle Swarm Optimizer, in Bernardete Ribeiro, Rudolf F. Albrecht andrej Dobnikar, David W. Pearson and Nigel C. Steele (editors), Adaptive and Natural Computing Algorithms, pp. 268--271, Springer, Coimbra, Portugal, March 2005.
  2559. I. L. Schoeman and A. P. Engelbrecht. Scalability of the Vector-based Particle Swarm Optimizer, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1995--2001, IEEE Press, Trondheim, Norway, May, 2009.
  2560. P. Schroder, A. J. Chipperfield, P. J. Fleming and N. Grum. Multi-Objective Optimization of Distributed Active Magnetic Bearing Controllers, In Genetic Algorithms in Engineering Systems: Innovations and Applications, pages 13-18. IEE, September 1997.
  2561. Adrian Schröder, Clemens Wrzodek, Johannes Wollnik, Andreas Dräger, Dierk Wanke, Kenneth W. Berendzen and Andreas Zell. Inferring Transcriptional Regulators for Sets of Co-expressed Genes by Multi-objective Evolutionary Optimization, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2285--2292, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  2562. Jacob Schrum and Risto Miikkulainen. Constructing Complex NPC Behavior via Multi-Objective Neuroevolution, in Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE 2008), pp. 108--113, The AAAI Press, Stanford, California, USA, October, 2008.
  2563. Jacob Schrum and Risto Miikkulainen. Evolving Agent Behavior in Multiobjective Domains Using Fitness-Based Shaping, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 439--446, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.
  2564. Oliver Schütze, Sanaz Mostaghim, Michael Dellnitz and Jürgen Teich. Covering Pareto Sets by Multilevel Evolutionary Subdivision Techniques, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 118--132, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  2565. Oliver Schütze. A New Data Structure for the Nondominance problem in Multi-objective Optimization, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 509--518, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.
  2566. Oliver Schuetze, Marco Laumanns, Emilia Tantar, Carlos A. Coello Coello and El-ghazali Talbi. Convergence of Stochastic Search Algorithms to Gap-Free Pareto Front Approximations, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 892--899, Vol. 1, ACM Press, London, UK, July 2007.
  2567. Oliver Schütze, Laetitia Jourdan, Thomas Legrand, El-Ghazali Talbi and Jean Luc Wojkiewicz. A Multi-objective Approach to the Design of Conducting Polymer Composites for Electromagnetic Shielding, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 590--603, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  2568. Oliver Schuetze, Adriana Lara and Carlos A. Coello Coello. Evolutionary Continuation Methods for Optimization Problems, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 651--658, ACM Press, Montreal, Canada, July 8--12, 2009, ISBN 978-1-60558-325-9.
  2569. Oliver Schuetze, Adriana Lara, Carlos A. Coello Coello and Massimiliano Vasile. Computing Approximate Solutions of Scalar Optimization Problems and Applications in Space Mission Design, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 1654-1661, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2570. Josef Schwarz and Jiri Ocenasek. Evolutionary Multiobjective Bayesian Optimization Algorithm: Experimental Study, In Proceedings of the 35th Spring International Conference: Modelling and Simulation of Systems (MOSIS'01), MARQ, Hradec and Moravici, Czech Republic, pp. 101--108, ISBN 80-85988-57-7, 2001.
  2571. Josef Schwarz and Jiri Ocenasek. Pareto Bayesian Optimization Algorithm for the Multiobjective 0/1 Knapsack Problem, in Proceedings of the 7th International Mendel Conference on Soft Computing, Mendel 2001, pp. 131--136, Brno University of Technology, Brno, Czech Republic, ISBN 80-214-1894-X, 2001.
  2572. Aaron Scoble, Mark Johnston and Mengjie Zhang. Eliminating Useless Object Detectors Evolved in Multiple-Objective Genetic Programming, in Dianhui Wang and Mark Reynolds (editors), AI 2011: Advances in Artificial Intelligence, 24th Australasian Joint Conference, pp. 341--350, Springer. Lecture Notes in Computer Science Vol. 7106, Perth, Australia, December 5-8, 2011.
  2573. Luís A. Scola, Oriana M. Neto, Ricardo H.C. Takahashi and Sérgio A.A.G. Cerqueira. Multi-objective optimal reservoir operation, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3369--3373, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2574. Luís A. Scola, Oriana Magela Neto, Ricardo H.C. Takahashi and Sérgio A.A.G. Cerqueira. Multi-objective Optimal Multiple Reservoir Operation, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1927--1933, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.
  2575. Ian Scriven, David Ireland, Andrew Lewis, Sanaz Mostaghim and Jürgen Branke. Asynchronous Multiple Objective Particle Swarm Optimisation in Unreliable Distributed Environments, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 2486--2491, IEEE Service Center, Hong Kong, June 2008.
  2576. Ian Scriven, Andrew Lewis, David Ireland and Junwei Lu. Decentralised Distributed Multiple Objective Particle Swarm Optimisation Using Peer-to-Peer Networks, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 2930--2933, IEEE Service Center, Hong Kong, June 2008.
  2577. Ian Scriven, Andrew Lewis and Sanaz Mostaghim. Dynamic Search Initialisation Strategies for Multi-Objective Optimisation in Peer-to-Peer Networks, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1515--1522, IEEE Press, Trondheim, Norway, May, 2009.
  2578. Chun-Wei Seah, Yew-Soon Ong, Ivor W. Tsang and Siwei Jiang. Pareto Rank Learning in Multi-objective Evolutionary Algorithms, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 2492--2499, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2579. Barry Secrest and Gary Lamont. Multiobjective Tuning of. Multitarget Tracking Algorithm using an Evolutionary Algorithm, in 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2009), pp. 51--57, IEEE Press, Nashville, TN, USA, March 30 - April 2, 2009. ISBN 978-1-4244-2764-2.
  2580. Pasut Seeluangsawat and Prabhas Chongstitvatana. A Multiple Objective Evolutionary Algorithm for Multiple Sequence Alignment, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 477--478, Vol. 1, ACM Press, New York, USA, June 2005.
  2581. M. Sefrioui and J. Periaux. Nash Genetic Algorithms: examples and applications, In 2000 IEEE Congress on Evolutionary Computation, volume 1, pp. 509--516, San Diego, California, July 2000. IEEE Service Center.
  2582. Mourad Sefrioui and Jacques Périaux. A Hierarchical Genetic Algorithm Using Multiple Models for Optimization, In Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, Xin Yao, Evelyne Lutton, J. J. Merelo and Hans-Paul Schwefel (editors), Proceedings of the Parallel Problem Solving from Nature VI Conference, pages 879--888. Springer, 2000
  2583. Eduardo Segredo, Carlos Segura and Coromoto León. A Multiobjectivised Memetic Algorithm for the Frequency Assignment Problem, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1132--1139, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  2584. Eduardo Segredo, Carlos Segura and Coromoto León. Analysing the robustness of multiobjectivisation parameters with large scale optimisation problems, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 712--719, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2585. Renaud Séguier and Nicolas Cladel. Multiobjectives Genetic Snakes: Application on Audio-Visual Speech Recognition, in Proceedings of the 4th EURASIP Conference focused on Video/Image Processing and Multimedia Communications (EC-VIP-MC 2003), Zagreb, Croatia, July 2003.
  2586. Carlos Segura, Eduardo Segredo and Coromoto León. Parallel Island-Based Multiobjectivised Memetic Algorithms for a 2D Packing Problem, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 1611--1618, ACM Press, Dublin, Ireland, July 12-16, 2011.
  2587. Carlos Segura, Carlos A. Coello Coello, Eduardo Segredo, Gara Miranda and Coromoto León. Improving the Diversity Preservation of Multi-objective Approaches used for Single-objective Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 3198--3205, IEEE Press, Cancún, México, 20-23 June, 2013.
  2588. Krishna Veni Selvan, Mohd Saufee Muhammad and Sharifah Masniah Wan Masra. Ensembles of DNA letters for the design of unique DNA library using a modified version of multi-criteria VEDEPSO optimizer, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1256--1263, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2589. Choo Chwee Seng, Chua Ching Lian, Low Kin Ming Spencer and Ong Wee Sze Darren. A Co-Evolutionary Approach for Military Operational Analysis, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 67-74, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6.
  2590. Soumyadip Sengupta, Md. Nasir, Arnab Kumar Mondal and Swagatam Das. An Improved Multi-Objective Algorithm Based on Decomposition with Fuzzy Dominance for Deployment of Wireless Sensor Networks, in Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das and Suresh Chandra Satapathy (editors), Swarm, Evolutionary, and Memetic Computing, Second International Conference, SEMCCO 2011, pp. 688--696, Springer. Lecture Notes in Computer Science Vol. 7076, Visakhapatnam, Andhra Pradesh, India, December 19-21, 2011.
  2591. Soumyadip Sengupta, Swagatam Das, Md. Nasir, Athanasios V. Vasilakos and Witold Pedrycz. Energy-efficient differentiated coverage of dynamic objects using an improved evolutionary multi-objective optimization algorithm with fuzzy-dominance, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1564--1571, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2592. Paolo Serafini. Simulated Annealing for Multiple Objective Optimization Problems. In G.H. Tzeng, H.F. Wang, U.P. Wen and P.L. Yu, editors, Proceedings of the Tenth International Conference on Multiple Criteria Decision Making: Expand and Enrich the Domains of Thinking and Application, volume 1, pages 283-294, Berlin, 1994. Springer-Verlag.
  2593. Khedidja Seridi and Laetitia Jourdan and El-Ghazali Talbi. Multi-objective Evolutionary Algorithm for Biclustering in Microarrays Data, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2593--2599, IEEE Service Center, New Orleans, Louisiana, USA, 5--8 June, 2011.
  2594. Travis C. Service and Daniel R. Tauritz. Free lunches in pareto coevolution, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1721--1728, ACM Press, Montreal, Canada, July 8--12, 2009. ISBN 978-1-60558-325-9.
  2595. Kamran Shafi, Axel Bender and Hussein A. Abbass. Fleet Estimation for Defence Logistics Using a Multi-Objective Learning Classifier System, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 1195--1202, ACM Press, Dublin, Ireland, July 12-16, 2011.
  2596. Wenping Ma, Licheng Jiao, Maoguo Gong and Fang Liu. An Novel Artificial Immune System Multi-objective Optimization Algorithm for 0/1 Knapsack Problems, in Yue Hao et al. (editors), Computational Intelligence and Security. International Conference, CIS 2005, pp. 793--798, Springer, Lecture Notes in Artificial Intelligence Vol. 3801, Xi'an, China, December 2005.
  2597. Ronghua Shang and Wenping Ma. Immune Clonal MO Algorithm for ZDT Problems, in Licheng Jiao, Lipo Wang, Xinbo Gao, Jing Liu and Feng Wu (editors), Advances in Natural Computation, Second International Conference, ICNC 2006, pp. 100--109, Springer. Lecture Notes in Computer Science Vol. 4222, Xian, China, September 24-28, 2006.
  2598. Zengzhen Shao, Yanmin Liu and Shuxia Dong. Multi-Objective PSO Based on Evolutionary Programming, in De-Shuang Huang, Zhongming Zhao, Vitoantonio Bevilacqua and Juan Carlos Figueroa (editors), Advanced Intelligent Computing Theories and Applications, 6th International Conference on Intelligent Computing, ICIC 2010, pp. 602--610, Springer. Lecture Notes in Computer Science Vol. 6215, Changsha, China, August 18-21, 2010.
  2599. Adel M. Sharaf and Adel A.A. El-Gammal. A Novel Discrete Multi-Objective Particle Swarm Optimization (MOPSO) of Optimal Shunt Power Filter, in 2009 IEEE/PES Power Systems Conference and Exposition, PSCE'09, IEEE Press, Seattle, Washington, USA, March 15-18, 2009, ISBN 978-1-4244-3810-5.
  2600. Adel M. Sharaf and Adel A.A. El-Gammal. Optimal Hybrid Power Filter Compensator Design Using Multi-objective Particle Swarm Optimization (MOPSO), in UKSIM 2009: 11th International Conference on Computer Modelling and Simulation, pp. 391--397, IEEE Computer Society Press, Cambridge, UK, March 25-27, 2009, ISBN 978-1-4244-3771-9.
  2601. B. Sharma, I. Parmee, M. Whittaker and A. Sedwell. Drug Discovery: Exploring the Utility of Cluster Oriented Genetic Algorithms in Virtual Library Design, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 668--675, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  2602. Deepak Sharma, Abhay Kumar, Kalyanmoy Deb and Karthik Sindhya. Hybridization of SBX Based NSGA-II and Sequential Quadratic Programming for Solving Multi-objective Optimization Problems, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3003--3010, IEEE Press, Singapore, September 2007.
  2603. Deepak Sharma, Kalyanmoy Deb and N. N. Kishore. A Domain-Specific Crossover and a Helper Objective for Generating Minimum Weight Compliant Mechanisms, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 1723--1724, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6.
  2604. Deepak Sharma, Kalyanmoy Deb and N. N. Kishore. Towards Generating Diverse Topologies of Path Tracing Compliant Mechanisms Using A Local Search Based Multi-Objective Genetic Algorithm Procedure, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 2004--2011, IEEE Service Center, Hong Kong, June 2008.
  2605. Deepak Sharma and Pierre Collet. An Archived-Based Stochastic Ranking Evolutionary Algorithm (ASREA) for Multi-Objective Optimization, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 479--486, ACM Press, Portland, Oregon, USA, July 7--11, 2010, ISBN 978-1-4503-0072-8.
  2606. Deepak Sharma. On the Flexible Applied Boundary and Support Conditions of Compliant Mechanisms Using Customized Evolutionary Algorithm, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 105--114, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  2607. Deepak Sharma and Prem Soren. Infeasibility Driven Approach for Bi-objective Evolutionary Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 868--875, IEEE Press, Cancún, México, 20-23 June, 2013.
  2608. Shashi, K. Deep and V. K. Katiyar. Multi Objective Extraction Optimization of Bioactive Compounds from Gardenia Using Real Coded Genetic Algorithm, in C.T. Lim and J.C.H. Goh (editors), 6th World Congress of Biomechanics (WCB 2010), pp. 1463--1466, Springer. IFMBE Proceedings Vol. 31, Singapore, August 1-6, 2010.
  2609. K. J. Shaw and P. J. Fleming. An Initial Study of Practical Multi-Objective Production Scheduling using Genetic Algorithms. In Proceedings of the International Conference on Control'96, University of Exeter, UK, September 1996.
  2610. K. J. Shaw and P. J. Fleming. Initial Study of Practical Multi-Objective Genetic Algorithms for Scheduling the Production of Chilled Ready Meals, In Proceedings of Mendel'96, the 2nd International Mendel Conference on Genetic Algorithms, Brno, Czech Republic, September 1996.
  2611. K. J. Shaw and P. J. Fleming. Including Real-Life Preferences in Genetic Algorithms to Improve Optimisation of Production Schedules, In Proceedings of the GALESIA'97, pp. 239--244, Glasgow, Scotland, September 1997. IEE.
  2612. K. J. Shaw and P. J. Fleming. Use of Rules and Preferences for Schedule Builders in Genetic Algorithms Production Scheduling. In Corne and Shapiro, editors, Proceedings of the AISB'97 Workshop on Evolutionary Computation. Lecture Notes in Computer Science No. 1305, Manchester University, 1997. Springer-Verlag.
  2613. K. J. Shaw and P. J. Fleming. An Overview of Multi-Objective Genetic Algorithms for Production Scheduling. In Proceedings of the DTI/ACTT Regional Seminar in Finite Capacity Scheduling in the Process Industries, Manchester, UK, January 1997.
  2614. K. J. Shaw, A. L. Nortcliffe, M. Thompson, J. Love, C. M. Fonseca and P. J. Fleming. Assessing the Performance of Multiobjective Genetic Algorithms for Optimization of a Batch Process Scheduling Problem, In 1999 Congress on Evolutionary Computation, pages 37-45, Washington, D.C., July 1999. IEEE Service Center.
  2615. K. J. Shaw, C. M. Fonseca and P. J. Fleming. A Simple Demonstration of a Quantitative Technique for Comparing Multiobjective Genetic Algorithm Performance. In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 119-120, Orlando, Florida, July 1999.
  2616. K.J. Shaw, A.L. Nortcliffe, M. Thompson, J. Love and P.J. Fleming. Interactive Batch Process Schedule Optimization and Decision-Making using Multiobjective Genetic Algorithms, in 1999 IEEE International Conference on Systems, Man and Cybernetics, Vol. 6, pp. 486--491, IEEE, 1999.
  2617. K.J. Shaw, P.L. Lee, H.P. Nott and M. Thompson. Genetic Algorithms for Multiobjective Scheduling of Combined Batch/Continuous Process Plants, In 2000 IEEE Congress on Evolutionary Computation, volume 1, pages 293-300, Piscataway, New Jersey, July 2000. IEEE Service Center.
  2618. Prakash Shelokar, Arnaud Quirin and Óscar Cordón. A Multiobjective Variant of the Subdue Graph Mining Algorithm based on the NSGA-II Selection Mechanism, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 463--470, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2619. Prakash Shelokar, Arnaud Quirin and Óscar Cordón. Subgraph Mining in Graph-based Data using Multiobjective Evolutionary Programming, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1730--1737, IEEE Service Center, New Orleans, Lousiana, USA, 5-8 June, 2011.
  2620. Prakash Shelokar, Arnaud Quirin and Óscar Cordón. Automatic extraction of common research areas in world scientograms using the multiobjective Subdue algorithm, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 755--762, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2621. Zheyu Shen and Hongwei Zhang. Multi-Objective Particle Swarm Optimization Based Transportation Problem Research, in EBM 2010: International Conference on Engineering and Business Management, pp. 2798--2801, Scientific Research Publications, Chengdu, China, March 25-27, 2010, ISBN 978-1-935068-05-1.
  2622. Yuanxia Shen, Guoyin Wang and Qun Liu. Correlative Particle Swarm Optimization for Multi-objective Problems, in Ying Tan, Yuhui Shi, Yi Chai and Guoyin Wang (editors), Advances in Swarm Intelligence, Second International Conference, ICSI 2011, pp. 17--25, Springer. Lecture Notes in Computer Science Vol. 6729, Chongqing, China, June 12-15, 2011.
  2623. Mu Sheng-jing, Su Hong-ye, Chu Jian and Wang Yue-xuan. An New Evolutionary Multi-objective Optimization algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 914--920, IEEE Press, Canberra, Australia, December 2003.
  2624. Chuan Shi, Yan Li and Li-shan Kang. A New Simple and Highly Efficient Multi-objective Optimal Evolutionary Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1536--1542, IEEE Press, Canberra, Australia, December 2003.
  2625. Yingzi Shi, Jiangang Lu and Qiang Zheng. A New Strategy for Parameter Estimation of Dynamic Differential Equations Based on NSGA II, in Tzai-Der Wang, Xiaodong Li, Shu-Heng Chen, Xufa Wang, Hussein A. Abbass, Hitoshi Iba, Guoliang Chen and Xin Yao (Editors), Simulated Evolution and Learning, 6th International Conference, SEAL 2006, Proceedings, pp. 345--352, Springer, Lecture Notes in Computer Science Vol. 4247, Hefei, China, October, 2006.
  2626. Chuan Shi, Qingyong Li, Zhiyong Zhang and Zhongzhi Shi. An Improved Multiobjective Evolutionary Algorithm Based on Dominating Tree, in PRICAI 2006: Trends in Artificial Intelligence, 9th Pacific Rim International Conference on Artificial Intelligence, pp. 691-700, Springer, Lecture Notes in Computer Science, Vol. 4099, Guilin, China, August 7-11 2006. ISBN 3-540-36667-9.
  2627. Min Shi and Haifeng Wu. Pareto cooperative coevolutionary genetic algorithm using reference sharing collaboration, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 867--874, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .
  2628. Min Shi and Boye Annfelt Hoverstad. PEEC: Evolving Efficient Connections Using Pareto Optimality, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1578--1584, IEEE Press, Trondheim, Norway, May, 2009.
  2629. Chuan Shi, Cha Zhong, Zhenyu Yan, Yanan Cai and Bin Wu. A Multi-Objective Approach for Community Detection in Complex Network, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 403--410, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2630. Chuan Shi, Zhenyu Yan, Xin Pan, Yanan Cai and Bin Wu. Multi-objective Decisionmaking in the Detection of Comprehensive Community Structures, in 2011 IEEE Congress on Evolutionary Computation(CEC'2011), pp. 1488--1495, IEEE Service Center, New Orleans, Lousiana, USA, 5--8 June, 2011.
  2631. Toshihiro Shibano and Masatoshi Sakawa. Interactive Decision Making for Fuzzy Multiobjective 0-1 Programs Through Genetic Algorithms with Double Strings, In Proceedings of the Sixth IEEE Conference on Fuzzy Systems, pages 1639-1644, 1997.
  2632. Miyuki Shibasaka, Akira Hara, Takumi Ichimura and Tetsuyuki Takahama. Species-based Differential Evolution with Switching Search Strategies for Multimodal Function Optimization, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 1183--1190, IEEE Press, Singapore, September 2007.
  2633. Hajime Kita Mitsuhiro Shibuya and Shigenobu Kobayashi. Integration of multi-objective and interactive genetic algorithms and its application to animation design, In Proceedings of IEEE Systems, Man and Cybernetics, volume III, pages 646-651, 1999.
  2634. Vui Ann Shim, Kay Chen Tan and Jun Yong Chia. An investigation on sampling technique for multi-objective restricted Boltzmann machine, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 1081--1088, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2635. Vui Ann Shim, Kay Chen Tan and Jun Yong Chia. Probabilistic Based Evolutionary Optimizers in Bi-Objective Travelling Salesman Problem, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 588--592, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  2636. V.A. Shim, K.C. Tan and K.K. Tan. A hybrid estimation of distribution algorithm for solving the multi-objective multiple traveling salesman problem, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 771--778, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2637. V.A. Shim, K.C. Tan and K.K. Tan. A hybrid adaptive evolutionary algorithm in the domination-based and decomposition-based frameworks of multi-objective optimization, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1142--1149, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2638. Yoshiaki Shimizu. Multi-Objective Optimization for Mixed-Integer Programs Through Hybrid Genetic Algorithm with Value Function Modeled by Neural Networks, in Proceedings of the 15th Conference of the Australian Society for Operations Research (ASOR), Vol. 2, pp. 1146--1158, 1999.
  2639. Y. Shimizu and Y. Tanaka. Practical Multi-Objective Scheduling through Soft Computing Approach, in Proceedings of the International Symposium on Scheduling, pp. 101--104, Hamamatsu, Japan, June 2002.
  2640. Koji Shimoyama, Akira Oyama and Kozo Fujii. A New Efficient and Useful Robust Optimization Approach --Design for Multi-Objective Six Sigma, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 950--957, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
  2641. Koji Shimoyama, Jin Ne Lim, Shinkyu Jeong, Shigeru Obayashi and Masataka Koishi. An Approach for Multi-Objective Robust Opimization Assisted by Response Surface Approximation and Visual Data-Mining, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 2413--2420, IEEE Press, Singapore, September 2007.
  2642. Koji Shimoyama, Kazuya Seo, Tsuyoshi Nishiwaki, Shinkyu Jeong and Shigeru Obayashi. Material design optimization for a sport shoe sole by evolutionary computation and FEM analysis, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3193--3199, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2643. Koji Shimoyama, Koma Sato, Shinkyu Jeong and Shigeru Obayashi. Comparison of the Criteria for Updating Kriging Response Surface Models in Multi-Objective Optimization, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1196--1203, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2644. Koji Shimoyama, Shinkyu Jeong and Shigeru Obayashi. Kriging-Surrogate-Based Optimization Considering Expected Hypervolume Improvement in Non-Constrained Many-Objective Test Problems, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 658--665, IEEE Press, Cancún, México, 20-23 June, 2013.
  2645. Soo-Yong Shin, In-Hee Lee and Byoung-Tak Zhang. Microarray Probe Design Using e-Multi-Objective Evolutionary Algorithms with Thermodynamic Criteria, in Franz Rothlauf et al. (editors), Applications of Evolutionary Computing. EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART and EvoSTOC, pp. 184--195, Springer, Lecture Notes in Computer Science Vol. 3907, Budapest, Hungary, April 2006.
  2646. Ofer M. Shir and Thomas Bäck. Niching in Evolution Strategies, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 915--916, Vol. 1, ACM Press, New York, USA, June 2005.
  2647. Ofer M. Shir and Thomas Bäck. Performance Analysis of Niching Algorithms Based on Derandomized-ES Variants, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 705--712, Vol. 1, ACM Press, London, UK, July 2007.
  2648. Ofer M. Shir, Michael Emmerich and Thomas Bäck. Self-Adaptive Niching CMA-ES with Mahalanobis Metric, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 820--827, IEEE Press, Singapore, September 2007.
  2649. Ofer M. Shir, Michael Emmerich, Thomas Bäck and Marc J. J. Vrakking. The Application of Evolutionary Multi-Criteria Optimization to Dynamic Molecular Alignment, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 4108--4115, IEEE Press, Singapore, September 2007.
  2650. Ofer M. Shir, Jonathan Roslund and Herschel Rabitz. Evolutionary multi-objective quantum control experiments with the covariance matrix adaptation, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 659--666, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .
  2651. Shinichi Shirakawa and Tomoharu Nagao. Evolutionary Image Segmentation Based on Multiobjective Clustering, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2466--2473, IEEE Press, Trondheim, Norway, May, 2009.
  2652. Jaqueline S. Shoaf and James A. Foster. A Genetic Algorithm Solution to the Efficient Set Problem: A Technique for Portfolio Selection Based on the Markowitz Model. In Proceedings of the Decision Sciences Institute Annual Meeting, pages 571-573, Orlando, Florida, 1996.
  2653. Jaqueline S. Shoaf and James A. Foster. The efficient set GA for stock portfolios, in Proceedings of the 1998 IEEE International Conference on Evolutionary Computation (CEC'98), pp. 354--359, IEEE Press, Anchorage, Alaska, 1998.
  2654. Li-Sun Shu, Shinn-Jang Ho, Shinn-Ying Ho, Jian-Hung Chen and Ming-Hao Hung. A Novel Multi-objective Orthogonal Simulated Annealing Algorithm for solving Multi-objective Optimization Problems with a Large Number of Parameters, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 737--747, Seattle, Washington, USA, June 2004.
  2655. Pradyumn Kumar Shukla, Kalyanmoy Deb and Santosh Tiwari. Comparing Classical Generating Methods with an Evolutionary Multi-objective Optimization Method, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 311--325, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.
  2656. Pradyumn Kumar Shukla. On Gradient Based Local Search Methods in Unconstrained Evolutionary Multi-objective Optimization, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 96--110, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  2657. Pradyumn Kumar Shukla. Gradient Based Stochastic Mutation Operators in Evolutionary Multi-objective Optimization, in Bartlomiej Beliczynski andrzej Dzielinski, Marcin Iwanowski and Bernardete Ribeiro (editors), Adaptive and Natural Computing Algorithms, 8th International Conference, ICANNGA 2007, Part I, pp. 58--66, Springer-Verlag. Lecture Notes in Computer Science Vol. 4431, Warsaw, Poland, April 2007.
  2658. Fatma Sibel Salman, Jayant Kalagnanam and Sesh Murthy. Cooperative strategies for solving the bicriteria sparse multiple knapsack problem, In 1999 Congress on Evolutionary Computation, pages 53-60, Washington, D.C., July 1999. IEEE Service Center.
  2659. Florian Siegmund, Amos H.C Ng and Kalyanmoy Deb. Finding a preferred diverse set of Pareto-optimal solutions for a limited number of function calls, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 2417--2424, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2660. Florian Siegmund, Amos H.C. Ng and Kalyanmoy Deb. A Comparative Study of Dynamic Resampling Strategies for Guided Evolutionary Multi-Objective Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1826--1835, IEEE Press, Cancún, México, 20-23 June, 2013.
  2661. Valceres V.R. Silva, Wael Khatib and P.J. Fleming. Variable Complexity Modelling for Evolutionary Gas Turbine Control Design, in UKACC International Conference on Control, Vol. 2, pp. 1283--1288, 1998.
  2662. Vinícius L. Silva andré R. da Cruz, Eduardo G. Carrano, Frederico G. Guimarães and Ricardo H.C. Takahashi. On Nonlinear Fitness Functions for Ranking-Based Selection, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 1009--1015, IEEE, Vancouver, BC, Canada, July 2006.
  2663. Vinícius L. S. Silva, Elizabeth F. Wanner, Sérgio A. A. G. Cerqueira and Ricardo H. C. Takahashi. A New Performance Metric for Multiobjective Optimization: The Integrated Sphere Counting. in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3625--3630, IEEE Press, Singapore, September 2007.
  2664. Marcus Vincius Carvalho da Silva, Nadia Nedjah and Luiza de Macedo Mourelle. Evolutionary IP Assignment for Efficient NoC-based System Design using Multi-objective Optimization, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2257--2264, IEEE Press, Trondheim, Norway, May, 2009.
  2665. Cidiney Silva, Jésus S. Santos, Elizabeth F. Wanner, Eduardo G. Carrano and Ricardo H. C. Takahashi. Semi-Supervised Training of Least Squares Support Vector Machine Using a Multiobjective Evolutionary Algorithm, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2996--3002, IEEE Press, Trondheim, Norway, May, 2009.
  2666. Marcus Vinìcius Carvalho da Silva, Nadia Nedjah and Luiza de Macedo Mourelle. Application Synthesis for MPSoCs Implementation Using Multiobjective Optimization, in Joan Cabestany, Francisco Sandoval, Alberto Prieto, and Juan M. Corchado, (editors), Bio-Inspired Systems: Computational and Ambient Intelligence, 10th International Work-Conference on Artificial Neural Networks (IWANN'2009), pp. 736--743, Springer, Lecture Notes in Computer Science, Vol. 5517, Salamanca, Spain, June 10-12, 2009.
  2667. Cidiney Silva, Oriane Magela Neto and Jésus J.S. Santos. Controller Design with a Evolutionary Multi-Objective Optimization Approach, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 1733--1737, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2668. Dong-Joon Sim, Hyun-Kyo Jung, Song-Yop Hahn and Jong-Soo Won. Application of vector optimization employing modified genetic algorithm to permanent magnet motor design. In Proceedings of Seventh Conference on Electromagnetic Field Computation - CEFEC, page 288, Okayama, Japan, March 1996.
  2669. Dong-Joon Sim, Hyun-Kyo Jung and Song-Yop Hahn. Multiobjective optimal design of interior permanent magnet synchronous motors considering improved core loss formula, In 1997 IEEE International Electric Machines and Drives Conference Record, pages MA1/2.1-MA1/2.3, Milwaukee, Wisconsin, May 1997.
  2670. C.L. Simons and I.C. Parmee. Single and Multi-objective Genetic Operators in Object-oriented Conceptual Software Design, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1957--1958, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .
  2671. Christopher L. Simons and Ian C. Parmee. User-centered, evolutionary search in conceptual software design, in 2008 Congress on Evolutionary Computation (CEC'2008), Hong Kong, pp. 869--876, IEEE Service Center, June 2008.
  2672. Karthik Sindhya, Ankur Sinha, Kalyanmoy Deb and Kaisa Miettinen. Local Search Based Evolutionary Multi-Objective Optimization Algorithm for Constrained and Unconstrained Problems, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2919--2926, IEEE Press, Trondheim, Norway, May, 2009.
  2673. Karthik Sindhya, Ana Belen Ruiz and Kaisa Miettinen. A Preference Based Interactive Evolutionary Algorithm for Multi-objective Optimization: PIE, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 212--225, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  2674. Ankur Sinha, Kalyanmoy Deb, Pekka Korhonen and Jyrki Wallenius. Progressively interactive evolutionary multi-objective optimization method using generalized polynomial value functions, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3860--3867, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2675. Ankur Sinha. Bilevel Multi-objective Optimization Problem Solving Using Progressively Interactive EMO, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 269--284, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
  2676. Ankur Sinha, Anmol Pandey and Kalyanmoy Deb. Solving high objective problems in fixed interactions with the decision maker, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1648--1655, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2677. Ankur Sinha, Pekka Malo, Anton Frantsev and Kalyanmoy Deb. Multi-objective Stackelberg Game Between a Regulating Authority and Mining Company: A Case Study in Environmental Economics, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 478--485, IEEE Press, Cancún, México, 20-23 June, 2013.
  2678. Abhishek Singh, Barbara Minsker and David E. Goldberg. Combining Reliability and Pareto Optimality---An Approach Using Stochastic Multi-Objective Genetic Algorithms, in American Society of Civil Engineers (ASCE) Environmental & Water Resources Institute (EWRI) World Water & Environmental Resources Congress 2003 & Related Symposia, Philadelphia, PA, 2003.
  2679. Vijay Pratap Singh, Marc Schoenauer and Michael Làer. A geologically-sound representation for evolutionary multi-objective subsurface identification, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2325--2332, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.
  2680. Hemant Kumar Singh, Amitay Isaacs, Tapabrata Ray and Warren Smith. A Simulated Annealing Algorithm for Constrained Multi-Objective Optimization, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 1655--1662, IEEE Service Center, Hong Kong, June 2008.
  2681. Hemant Kumar Singh, Amitay Isaacs, Tapabrata Ray and Warren Smith. An improved secondary ranking for many objective optimization problems, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1837--1838, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .
  2682. Hemant Kumar Singh, Tapabrata Ray and Warren Smith. Surrogate assisted Simulated Annealing (SASA) for constrained multi-objective optimization, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 4202--4208, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  2683. L. Siwik and M. Kisiel-Dorohinicki. Evolutionary multi-agent system for multiobjective balancing of production lines, in Seventh national conference on Evolutionary computation and global optimization, pp. 155--162, Warszawa: PW WEiTI, Kazimierz Dolny, May 2004.
  2684. L. Siwik and M. Kisiel-Dorohinicki. Balancing of production lines : evolutionary agent-based approach, in G. Lefranc (editor), MCPL 2004 IFAC/IEEE/ACCA : Conference on Management and Control of Production and Logistics, pp. 319--324, IFAC/IEEE/ACCA, Santiago de Chile, November 2004.
  2685. L. Siwik and M. Kisiel-Dorohinicki. Semi-elitist evolutionary multi-agent system for multiobjective optimization, in V.N. Alexandrov et al. (Editors), Computational Science -- ICCS 2006, Pt 3, Proceedings, pp. 831--838, Springer-Verlag, Lecture Notes in Computer Science Vol. 3993, May 2006.
  2686. Leszek Siwik and Marek Kisiel-Dorohinocki. Improving the Quality of the Pareto Frontier Approximation Obtained by Semi-elitist Evolutionary Multi-agent System Using Distributed and Decentralized Frontier Crowding Mechanism, in Bartlomiej Beliczynski andrzej Dzielinski, Marcin Iwanowski and Bernardete Ribeiro (editors), Adaptive and Natural Computing Algorithms, 8th International Conference, ICANNGA 2007, Part I, pp. 138-147, Springer-Verlag. Lecture Notes in Computer Science Vol. 4431, Warsaw, Poland, April 2007.
  2687. Leszek Siwik and Piotr Sikorski. Efficient Constrained Evolutionary Multi-Agent System for Multi-Objective Optimization, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3211--3218, IEEE Service Center, Hong Kong, June 2008.
  2688. Leszek Siwik and Szymon Natanek. Elitist Evolutionary Multi-Agent System in Solving Noisy Multi-Objective Optimization Problems, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3318--3325, IEEE Service Center, Hong Kong, June 2008.
  2689. Leszek Siwik and Szymon Natanek. Solving Constrained Multi-Criteria Optimization Tasks Using Elitist Evolutionary Multi-Agent System, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3357--3364, IEEE Service Center, Hong Kong, June 2008.
  2690. Leszek Siwik, Przemyslaw Sroka and Marek Psiuk. Flock-Based Evolutionary Multi-Agent System in Solving Noisy Multi-Objective Optimization Problems, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 3403--3411, IEEE Service Center, Hong Kong, June 2008.
  2691. Prisadarng Skolpadungket, Keshav Dahal and Napat Harnpornchai. Portfolio Optimization Using Multi-Objective Genetic Algorithms, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 516--523, IEEE Press, Singapore, September 2007.
  2692. Adam Slowik and Michal Bialko. Design and Multi-Objective Optimization of Combinational Digital Circuits Using Evolutionary Algorithm with Multi-Layer Chromosomes, in 9th International Conference Artificial Intelligence and Soft Computing. (ICAISC 2008), pp. 479--488, Springer. Lecture Notes in Computer Science Vol. 5097, Zakopane, Poland, June 22-26 2008.
  2693. R.E. Smith and Claudio Bonacina. Mating Restriction and Niching Pressure: Results from Agents and Implications for General EC, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 1382--1393, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003.
  2694. Kevin I. Smith, Richard M. Everson and Jonathan E. Fieldsend. Dominance Measures for Multi-Objective Simulated Annealing, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 23--30, Portland, Oregon, USA, June 2004.
  2695. Guido Smits and Ekaterina Vladislavleva. Ordinal Pareto Genetic Programming, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 10471--10477, IEEE, Vancouver, BC, Canada, July 2006.
  2696. Paul Snijders, Edwin D. de Jong, Bart de Boer and Franjo Weissing. lti-Objective Diversity Maintenance, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1429--1430, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4.
  2697. Vishal Soam, Leon Palafox and Hitoshi Iba. Multi-objective portfolio optimization and rebalancing using genetic algorithms with local search, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 2764--2770, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2698. G. L. Soares, F. G. Guimarães, C. A. Maia, J. A. Vasconcelos and L. Jaulin. Interval Robust Multi-Objective Evolutionary Algorithm, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1637--1643, IEEE Press, Trondheim, Norway, May 2009.
  2699. Krzysztof Socha and Marek Kisiel-Dorohinicki. Agent-based Evolutionary Multiobjec