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 21th, 2017

(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 (abstract).

  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 (abstract).

  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 (abstract).

  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 (abstract).

  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 (abstract).

  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 (abstract).

  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 (abstract).

  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 (abstract).

  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 (abstract).

  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 (abstract).

  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 (abstract).

  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 (abstract).

  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 (abstract).

  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 (abstract).

  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 (abstract).

  16. M. A. Abido and J.M. Bakhashwain. A Novel Multiobjective Evolutionary Algorithm for Optimal Reactive Power Dispatch Problem, 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 (abstract).

  17. M. A. Abido. Environmental/economic power dispatch using multiobjective evolutionary algorithms: A comparative study, in 2003 IEEE-Power-Engineering-Society General Meeting, pp. 920--925, IEEE Press, Toronto, Canada, July 13-17, 2003, ISBN 0-7803-7989-6 (abstract).

  18. 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 (abstract).

  19. 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 (abstract).

  20. M. A. Abido. Multiobjective particle swarm for environmental/economic dispatch problem, in 2007 Conference Proceedings IPEC, Vols 1-3, pp. 1385--1390, IEEE, Singapore, Singapore, December 03-06, 2007, ISBN 978-981-05-9423-7 (abstract).

  21. M.A. Abido. Multiobjective particle swarm optimization for optimal power flow problem, in 2008 12th International Middle East Power System Conference, pp. 485--489, IEEE Press, Aswan, Egypt, March 12-15, 2008, ISBN 978-1-4244-1933-3 (abstract).

  22. 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 (abstract).

  23. Mohamed Abouhawwash and Kalyanmoy Deb. Karush-Kuhn-Tucker Proximity Measure for Multi-Objective Optimization Based on Numerical Gradients, in 2016 Genetic and Evolutionary Computation Conference (GECCO'2016), pp. 525--532, ACM Press, Denver, Colorado, USA, 20-24 July, 2016, ISBN 978-1-4503-4206-3 (abstract).

  24. 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 (abstract).

  25. 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 (abstract).

  26. Giovanni Acampora, Hisao Ishibuchi and Autilia Vitiello. A Comparison of Multi-Objective Evolutionary Algorithms for the Ontology Meta-Matching Problem, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 413--420, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3 (abstract).

  27. 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 (abstract).

  28. Merin Achankunju, R. Pushpalakshmi and A. Vincent Antony Kumar. Particle Swarm Optimization based secure QoS clustering for Mobile Ad hoc Network, in 2013 International Conference on Communications and Signal Processing (ICCSP 2013), pp. 315--320, IEEE Press, Melmaruvathur, India, April 3-5, 2013, ISBN 978-1-4673-4866-9 (abstract).

  29. 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 (abstract).

  30. 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 (abstract).

  31. 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.

  32. 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 (abstract).

  33. 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 (abstract).

  34. 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 (abstract).

  35. 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 (abstract).

  36. 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 (abstract).

  37. 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 (abstract).

  38. 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 (abstract).

  39. 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 (abstract).

  40. 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, pp. 3--10, Orlando, Florida, USA, 1999. Morgan Kaufmann Publishers (abstract).

  41. 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 (abstract).

  42. 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 (abstract).

  43. 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 (abstract).

  44. 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 (abstract).

  45. 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 (abstract).

  46. 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 (abstract).

  47. Hernan Aguirre, Yasushi Fuwa, Eiki Motoyama, Tsutomu Nonoyarna and Haruo Kaneko. Evolutionary multiobjective optimization of topologies for an urban ad-hoc network, in 2007 IEEE International Conference on Systems, Man and Cybernetics, Vols 1-8, pp. 3376--3381, IEEE, Montreal, Cook Islands, October 07-10, 2007, ISBN 978-1-4244-0990-7 (abstract).

  48. 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 (abstract).

  49. 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 (abstract).

  50. 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 (abstract).

  51. Hernén Aguirre, Arnaud Liefooghe, Sébastien Verel and Kiyoshi Tanaka. A Study on Population Size and Selection Lapse in Many-objective Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1507--1514, IEEE Press, Cancún, México, 20-23 June, 2013, ISBN 978-1-4799-0454-9 (abstract).

  52. 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 (abstract).

  53. 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 (abstract).

  54. 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 (abstract).

  55. 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 (abstract).

  56. Kushan Ahmadian, Abbas Golestani, Morteza Analoui and Mohammad R. Jahed. Evolving ensemble of classifiers in low-dimensional spaces using multi-objective evolutionary approach, in R. Lee, M. U. Chowdhury, S. Ray and T. Lee (editors), 6th IEEE/ACIS International Conference on Computer and Information Science, Proceedings, pp. 217--222, IEEE Computer Society, Melbourne, Australia, July 11-13, 2007, ISBN 978-0-7695-2841-0 (abstract).

  57. Kushan Ahmadian, Abbas Golestani, Nasser Mozayani and Peyman Kabiri. A new multi-objective evolutionary approach for creating ensemble of classifiers, in 2007 IEEE International Conference on Systems, Man and Cybernetics, Vols 1-8, pp. 876--881, IEEE, Montreal, Cook Islands, October 07-10, 2007, ISBN 978-1-4244-0990-7 (abstract).

  58. 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 (abstract).

  59. 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 (abstract).

  60. 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 (abstract).

  61. M. S. Alam, M. O. Tokhi and M. A. Hossain. Designing of a Command Shaper Using Multi-Objective Particle Swarm Algorithm for Vibration Control of a Single-Link Flexible Manipulator System, in M. Xie, S. Dubowsky, J. G. Fontaine, M. O. Tokhi and G. S. Virk (editors), Advances in Climbing and Walking Robots, Proceedings, pp. 607--614, World Scientific Publ Co Pte Ltd, Singapore, Singapore, July 16-18, 2007, ISBN 978-981-270-815-1 (abstract).

  62. 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 (abstract).

  63. Dhafar Al-Ani and Saeid Habibi. Optimal Pump Operation for Water Distribution Systems Using a New Multi-agent Particle Swarm Optimization technique with EPANET, in 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), IEEE Press, Montreal, Canada, April 29-May 2, 2012, ISBN 978-1-4673-1433-6 (abstract).

  64. 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 (abstract).

  65. 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 (abstract).

  66. 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 (abstract).

  67. Albert Albers, Noel Leon Rovira, Humberto Aguayo and Thomas Maier. Optimization with Genetic Algorithms and Splines as a way for Computer Aided Innovation, in G. Cascini (editor), Computer-Aided Innovation (CAI), pp. 7--18, Springer, Milan, Italy, September 7-10, 2008, ISBN 978-0-387-09696-4 (abstract).

  68. 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 (abstract).

  69. Wissam A. Albukhanajer, Yaochu Jin and Johann A. Briffa. Neural Network Ensembles For Image Identification Using Pareto-optimal Features, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 89-- 96, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3 (abstract).

  70. Wissam A. Albukhanajer, Yaochu Jin and Johann A. Briffa. Trade-Off Between Computational Complexity and Accuracy in Evolutionary Image Feature Extraction, in 2015 IEEE Congress on Evolutionary Computation (CEC'2015), pp. 2412--2419, IEEE Press, Sendai, Japan, 25-28 May 2015, ISBN 978-1-4799-7492-4 (abstract).

  71. 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 (FUZZ-IEEE'2007), pp. 1372--1377, IEEE Press, London, UK, July 23-26, 2007, ISBN 978-1-4244-1209-9 (abstract).

  72. Rafael Alcala, Yusuke Nojima, Francisco Herrera and Hisao Ishibuchi. Generating Single Granularity-Based Fuzzy Classification Rules for Multiobjective Genetic Fuzzy Rule Selection, in 2009 IEEE International Conference on Fuzzy Systems, Vols 1-3, pp. 1718--1723, IEEE, Jeju Isl, South Korea, August 20-24, 2009, ISBN 978-1-4244-3596-8 (abstract).

  73. 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 (abstract).

  74. 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 (abstract).

  75. 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 (abstract).

  76. 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 (abstract).

  77. S. Algoul, M. S. Alam, K. Sakib, M. A. Hossain and M. A. A. Majumder. MOGA-Based Multi-drug Optimisation for Cancer Chemotherapy, in Miguel P. Rocha, Juan M. Corchado Rodríguez, Florentino Fdez-Riverola and Alfonso Valencia (editors), 5th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB 2011), pp. 133--140, Springer. Advances in Intelligent and Soft Computing Vol. 93, Salamanca, Spain, April 6-8, 2011, ISBN 978-3-642-19913-4 (abstract).

  78. Ahmad Alhindi and Qingfu Zhang. MOEA/D with Tabu Search for Multiobjective Permutation Flow Shop Scheduling Problems, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 1155--1164, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3 (abstract).

  79. 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 (abstract).

  80. Hamid Ali and Farrukh Aslam Khan. Group Counseling Optimization for Multi-objective Functions, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 705--712, IEEE Press, Cancún, México, 20-23 June, 2013, ISBN 978-1-4799-0454-9 (abstract).

  81. Simone Alicino and Massimiliano Vasile. An Evolutionary Approach to the Solution of Multi-Objective Min-Max Problems in Evidence-Based Robust Optimization, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 1179--1186, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3 (abstract).

  82. M. Alighanbari, A. Homaifar and B. Sayarrodsari. Robust adaptive control and parameter estimation using multi objective evolutionary algorithm, in International Conference on Systems, Man and Cybernetics, Vol 1-4, Proceedings, pp. 1326--1333, IEEE, Waikoloa, Hi, October 10-12, 2005, ISBN 0-7803-9298-1 (abstract).

  83. 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 (abstract).

  84. Mohmmad A. Al-Mayyahi, Andrew F. A. Hoadley and Gade Pandu Rangaiah. CO2 Emissions Targeting for Petroleum Refinery Optimization, in Gade Pandu Rangaiah and Adrián Bonilla-Petriciolet (editors), Multi-Objective Optimization in Chemical Engineering: Developments and Applications, Chapter 11, pp. 293--333, John Wiley & Sons, May, 2013, ISBN 978-1-118-34166-7 (abstract).

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  768. 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, ISBN 978-1-4799-0454-9.

  769. 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.

  770. 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 .

  771. 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.

  772. 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.

  773. 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.

  774. 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.

  775. 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.

  776. 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.

  777. 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.

  778. 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.

  779. 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.

  780. 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.

  781. 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.

  782. 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.

  783. 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.

  784. 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.

  785. 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.

  786. 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.

  787. 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.

  788. 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.

  789. Bilel Derbel, Arnaud Liefooghe, Gauvain Marquet and El-Ghazali Talbi. A Fine-Grained Message Passing MOEA/D, in 2015 IEEE Congress on Evolutionary Computation (CEC'2015), pp. 1837--1844, IEEE Press, Sendai, Japan, 25-28 May 2015, ISBN 978-1-4799-7492-4 (abstract).

  790. Benjamin Desjardins, Rafael Falcon, Rami Abielmona and Emil Petriu. A Multi-Objective Optimization Approach to Reliable Robot-Assisted Sensor Relocation, in 2015 IEEE Congress on Evolutionary Computation (CEC'2015), pp. 956--964, IEEE Press, Sendai, Japan, 25-28 May 2015, ISBN 978-1-4799-7492-4 (abstract).

  791. B. De Smedt and G. Gielen. WATSON: a multi-objective design space exploration tool for analog and RF IC design, in Proceedings of the IEEE 2002 Custom Integrated Circuits Conference, pp. 31--34, IEEE Press, Orlando, Florida, USA, May 12-15, 2002, ISBN 0-7803-7250-6.

  792. 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.

  793. K. Deb and DE. Goldberg. An Investigation of Niche and Species Formation in Genetic Function Optimization, in 3rd Internation Conference on Genetic Algorithms, pp. 42--50, Morgan Kaufmann Publishers, Virginia, USA, June 4-7, 1989, ISBN 1-55860-066-3 (abstract).

  794. 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.

  795. 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.

  796. 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

  797. 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

  798. 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.

  799. 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.

  800. 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.

  801. 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.

  802. 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.

  803. 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.

  804. 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.

  805. 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.

  806. 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 .

  807. 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 .

  808. 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 .

  809. 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 .

  810. 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.

  811. 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.

  812. 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.

  813. 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.

  814. 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.

  815. 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.

  816. 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.

  817. 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.

  818. 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.

  819. 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 .

  820. 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.

  821. 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.

  822. 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.

  823. 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.

  824. 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.

  825. 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.

  826. 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.

  827. 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.

  828. Kalyanmoy Deb, Ling Zhu and Sandeep Kulkarni. Multi-Scenario, Multi-Objective Optimization Using Evolutionary Algorithms: Initial Results, in 2015 IEEE Congress on Evolutionary Computation (CEC'2015), pp. 1877--1884, IEEE Press, Sendai, Japan, 25-28 May 2015, ISBN 978-1-4799-7492-4 (abstract).

  829. Kalyanmoy Deb, Zhichao Lu, Chris B. McKesson, Cherie C. Trumbach and Larry DeCan. Towards Optimal Ship Design and Valuable Knowledge Discovery Under Uncertain Conditions, in 2015 IEEE Congress on Evolutionary Computation (CEC'2015), pp. 1815--1822, IEEE Press, Sendai, Japan, 25-28 May 2015, ISBN 978-1-4799-7492-4 (abstract).

  830. 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.

  831. 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.

  832. 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.

  833. 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.

  834. 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.

  835. 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.

  836. Roman Denysiuk, Lino Costa and Isabel Espírito Santo. MOEA/VAN: Multiobjective Evolutionary Algorithm Based on Vector Angle Neighborhood, in 2015 Genetic and Evolutionary Computation Conference (GECCO 2015), pp. 663--670, ACM Press, Madrid, Spain, July 11-15, 2015, ISBN 978-1-4503-3472-3.

  837. 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.

  838. 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.

  839. 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.

  840. Rinku Dewri, Nayot Poolsappasit, Indrajit Ray and Darrell Whitley. Optimal Security Hardening using Multi-objective Optimization on Attack Tree Models of Networks, in Sabrina De Capitani di Vimercati, Paul F. Syverson and D. Evans (editors), Proceedings of the 14th ACM Conference on Computer and Communications Security (CCS'07), pp. 204--213, ACM Press, Alexandria, Virginia, USA, October 29-November 2, 2007, ISBN 978-1-59593-703-2.

  841. 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 .

  842. 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.

  843. 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.

  844. 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.

  845. 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.

  846. 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.

  847. 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.

  848. 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, ISBN 978-1-4799-0454-9.

  849. 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, ISBN 978-1-4799-0454-9.

  850. Derek Dibblee, Justin Maltese, Beatrice M. Ombuki-Berman and Andries. P. Engelbrecht. Vector-Evaluated Particle Swarm Optimization With Local Search, in 2015 IEEE Congress on Evolutionary Computation (CEC'2015), pp. 187--195, IEEE Press, Sendai, Japan, 25-28 May 2015, ISBN 978-1-4799-7492-4.

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  1506. 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.

  1507. 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.

  1508. 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.

  1509. 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.

  1510. 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.

  1511. 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.

  1512. 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.

  1513. 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.

  1514. 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.

  1515. 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.

  1516. 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.

  1517. 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.

  1518. 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

  1519. 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.

  1520. 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.

  1521. 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.

  1522. 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.

  1523. 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.

  1524. 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.

  1525. 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.

  1526. 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.

  1527. 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.

  1528. 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.

  1529. 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.

  1530. 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.

  1531. 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.

  1532. 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.

  1533. 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.

  1534. 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.

  1535. 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.

  1536. 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 .

  1537. 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 .

  1538. 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.

  1539. 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.

  1540. 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.

  1541. 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.

  1542. 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.

  1543. 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.

  1544. 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.

  1545. Hisao Ishibuchi. Multiobjective genetic fuzzy systems: Review and future research directions, in 2007 IEEE International Conference on Fuzzy Systems, pp. 911--916, IEEE Press, London, England, July 23-26, 2007, ISBN 978-1-4244-1209-9.

  1546. Hisao Ishibuchi. Evolutionary multiobjective design of fuzzy rule-based systems, in 2007 IEEE Symposium on Foundations of Computational Intelligence, Vols 1 and 2, pp. 9--16, IEEE, Honolulu, Hi, April 01-05, 2007, ISBN 978-1-4244-0703-3.

  1547. 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 .

  1548. 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.

  1549. 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.

  1550. Hisao Ishibuchi, Noritaka Tsukamoto and Yusuke Nojima. Evolutionary many-objective optimization, in Evolutionary many-objective optimization, pp. 45--50, IEEE, Witten Bommerhalz, Germany, March 04-07, 2008, ISBN 978-1-4244-1612-7.

  1551. 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.

  1552. 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 .

  1553. 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.

  1554. Hisao Ishibuchi, Noritaka Tsukamoto and Yusuke Nojima. Empirical Analysis of Using Weighted Sum Fitness Functions in NSGA-II for Many-Objective 0/1 Knapsack Problems, in UKSIM 2009: Eleventh International Conference on Computer Modelling and Simulation, pp. 71--76, IEEE Computer Society Press, Cambridge, England, March 25-27, 2009.

  1555. Hisao Ishibuchi, Yusuke Nakashima and Yusuke Nojima. Search Ability of Evolutionary Multiobjective Optimization Algorithms for Multiobjective Fuzzy Genetics-Based Machine Learning, in 2009 IEEE International Conference on Fuzzy Systems, pp. 1724--1729, IEEE Press, Jeju Isl, South Korea, August 20-24, 2009, ISBN 978-1-4244-3596-8.

  1556. Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto and Yusuke Nojima. Selecting a Small Number of Representative Non-Dominated Solutions by a Hypervolume-Based Solution Selection Approach, in 2009 IEEE International Conference on Fuzzy Systems, pp. 1609--1614, IEEE Press, Jeju Isl, South Korea, August 20-24, 2009, ISBN 978-1-4244-3596-8.

  1557. Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto and Yusuke Nojima. Evolutionary Many-Objective Optimization by NSGA-II and MOEA/D with Large Populations, in IEEE International Conference on Systems, Man and Cybernetics (SMC'2009), pp. 1758--1763, IEEE Press, Texas, USA, October 2009, ISBN 978-1-4244-2794-9 (abstract).

  1558. 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.

  1559. 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.

  1560. 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.

  1561. 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.

  1562. 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.

  1563. 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.

  1564. 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.

  1565. 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.

  1566. 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.

  1567. 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, ISBN 978-1-4799-0454-9.

  1568. 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, ISBN 978-1-4799-0454-9.

  1569. Hisao Ishibuchi, Naoya Akedo and Yusuke Nojima. A Study on the Specification of a Scalarizing Function in MOEA/D for Many-Objective Knapsack Problems, in Giuseppe Nicosia and Panos Pardalos (editors), 7th International Conference Learning and Intelligent Optimization, LION 2013, pp. 231--246, Springer. Lecture Notes in Computer Science Vol. 7997, Catania, Italy, January 7-11, 2013, ISBN 978-3-642-44972-7 (abstract).

  1570. Hisao Ishibuchi, Hiroyuki Masuda, Yuki Tanigaki and Yusuke Nojima. Difficulties in Specifying Reference Points to Calculate the Inverted Generational Distance for Many-Objective Optimization Problems, in 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2014), pp. 170--177, IEEE Press, Orlando, Florida, USA, 9-12 December 2014, ISBN 978-1-4799-4467-5 (abstract).

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  1802. 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.

  1803. 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.

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  1805. Nobuhiko Kondo, Toshiharu Hatanaka and Katsuji Uosaki. Multiobjective Evolutionary RBF Networks and Its Application to Ensemble Learning, in Yukio Kaneda, Hiroshi Kawamura and Masaki Sasai (Editors), Frontiers of Computational Science, Proceedings of the International Symposium on Frontiers of Computational Science 2005, pp. 321--325, Springer, Berlin, Germany, 2007, ISBN ISBN 978-3-540-46373-3.

  1806. Weijian Kong, Jinliang Ding, Tianyou Chai and Jing Sun. Large-Dimensional Multi-Objective Evolutionary Algorithms Based on Improved Average Ranking, in 2010 49th IEEE Conference on Decision and Control (CDC'2010), pp. 502--507, IEEE Press, Atlanta, Georgia, USA, 15-17 December, 2010, ISBN 978-1-4244-7745-6 (abstract).

  1807. Weijian Kong, Jinliang Ding, Tianyou Chai, Xiuping Zheng and Shengxiang Yang. A Multiobjective Particle Swarm Optimization Algorithm for Load Scheduling in Electric Smelting Furnaces, in Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES 2013), pp. 188--195, IEEE Press, Singapore, April 16-19, 2013, ISBN 978-1-4673-5851-4.

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  1822. 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.

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  1825. 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.

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  1827. 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.

  1828. 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.

  1829. 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.

  1830. 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.

  1831. 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.

  1832. 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.

  1833. 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.

  1834. 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.

  1835. 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. .

  1836. 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.

  1837. Johannes Krettek, Jan Braun, Frank Hoffmann and Torsten Bertram. Interactive Incorporation of User Preferences in Multiobjective Evolutionary Algorithms, in J. Mehnen, M. Koppen, A. Saad and A. Tiwari (editors), Applications of Soft Computing: From Theory to Praxis, pp. 379--388, Springer, 2009, ISBN 978-3-540-89618-0.

  1838. 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.

  1839. 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.

  1840. 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.

  1841. 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.

  1842. 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.

  1843. 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.

  1844. 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.

  1845. 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 (abstract).

  1846. 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 (abstract).

  1847. 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 (abstract).

  1848. 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 (abstract).

  1849. 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 (abstract).

  1850. 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. 1164--1171, IEEE, Vancouver, BC, Canada, July 2006 (abstract).

  1851. 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. 1987--1994, IEEE, Vancouver, BC, Canada, July 2006 (abstract).

  1852. 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 (abstract).

  1853. 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 (abstract).

  1854. 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 (abstract).

  1855. 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 (abstract).

  1856. Saku Kukkonen and Carlos A. Coello Coello. Applying Exponential Weighting Moving Average Control Parameter Adaptation Technique with Generalized Differential Evolution, in 2016 IEEE Congress on Evolutionary Computation (CEC'2016), pp. 4755--4762, IEEE Press, Vancouver, Canada, 24-29 July, 2016, ISBN 978-1-5090-0623-9 (abstract).

  1857. 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.

  1858. 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.

  1859. 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.

  1860. 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.

  1861. 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.

  1862. 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.

  1863. 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.

  1864. 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.

  1865. 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.

  1866. 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.

  1867. 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

  1868. 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.

  1869. 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.

  1870. 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.

  1871. 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.

  1872. 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.

  1873. 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 .

  1874. Rajeev Kumar, R. K. Singh, A. P. Singhal and Atul Bhartia. Evolutionary and heuristic algorithms for multiobjective 0-1 knapsack problem, in A. Tiwari, J. Knowles, E. Avineri, K. Dahal and R. Roy (editors), Applications of Soft Computing: Recent Trends, pp. 331--340, Springer, September 19 - October 07, 2006, ISBN 3-540-29123-7.

  1875. 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.

  1876. 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.

  1877. Praveen K. Kumar, S. Sharath, Rio G. D'Souza and K. Chandra. Memetic NSGA - A Multi-objective genetic algorithm for classification of microarray data, in ADCOM 2007: Proceedings of the 15th International Conference on Advanced Computing and Communications, pp. 75--80, IEEE Computer Society, Guwahati, India, December 18-21, 2007, ISBN 978-0-7695-3059-8.

  1878. 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 .

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  2019. 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, China, June 2008 (abstract).

  2020. 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, China, June 2008 (abstract).

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  2025. 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 (abstract).

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  2027. Junfeng Li, Wenzhan Dai and Ye Yang. Multi-Objective Genetic Algorithm Based on the Correlation coefficient and Its Application, in 20th Chinese Control and Decision Conference, pp. 3898--3902, IEEE, Yantai, China, July 02-04, 2008, ISBN 978-1-4244-1733-9 (abstract).

  2028. Lily D. Li, Xiaodong Li and Xinghuo Yu. Power Generation Loading Optimization using a Multi-Objective Constraint-Handling Method via PSO Algorithm, in 2008 6th IEEE International Conference on Industrial Informatics, Vols 1-3, pp. 1530--1535, IEEE, Daejeon, South Korea, July 13-16, 2008, ISBN 978-1-4244-2170-1 (abstract).

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  2030. Junfeng Li and Wenzhan Dai. Multi-objective Evolutionary Algorithm Based on Correlativity and its Application, in 2008 7th World Congress on Intelligent Control and Automation, Vols 1-3, pp. 7481--7486, IEEE, Chongqing, China, June 25-27, 2008, ISBN 978-1-4244-2113-8 (abstract).

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  2034. 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 (abstract).

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  2038. 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 (abstract).

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  2043. 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 (abstract).

  2044. 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 (abstract).

  2045. 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 (abstract).

  2046. 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 (abstract).

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  2048. 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 (abstract).

  2049. 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 (abstract).

  2050. Ke Li, Sam Kwong, Ran Wang, Jingjing Cao and Imre J. Rudas. Multi-Objective Differential Evolution with Self-Navigation, in Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 508--513, IEEE, Seoul, South Korea, October 14-17, 2012, ISBN 978-1-4673-1714-6 (abstract).

  2051. Wei Li, Lei Wang, Bin Wang, Rong Fei and Xinghong Hei. Cloud Droplets Evolution Algorithm for Multi-objective Optimization, in 2013 25th Chinese Control and Decision Conference (CCDC), pp. 681--686, IEEE, Guiyang, China, May 25-27, 2013, ISBN 978-1-4673-5532-2 (abstract).

  2052. Miqing Li, Shengxiang Yang and Xiaohui Liu. A Test Problem for Visual Investigation of High-Dimensional Multi-Objective Search, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 2140--2147, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3 (abstract).

  2053. Yexing Li, Xinye Cai, Zhun Fan and Qingfu Zhang. An External Archive Guided Multiobjective Evolutionary Approach Based on Decomposition for Continuous Optimization, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 1124--1130, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3 (abstract).

  2054. Yang Li, Aimin Zhou and Guixu Zhang. An MOEA/D with Multiple Differential Evolution Mutation Operators, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 397--404, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3 (abstract).

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  2056. Bingdong Li, Jinlong Li, Ke Tang and Xin Yao. An Improved Two Archive Algorithm for Many-Objective Optimization, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 2869--2876, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3 (abstract).

  2057. Jingyu Li, Jed Storie and Jeff Clune. Encouraging Creative Thinking in Robots Improves Their Ability to Solve Challenging Problems, in 2014 Genetic and Evolutionary Computation Conference (GECCO 2014), pp. 193--200, ACM Press, Vancouver, Canada, July 12-16, 2014, ISBN 978-1-4503-2662-9 (abstract).

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  3862. Xiangrong Zhang, Bin Lu, Shuiping Gou and Licheng Jiao. Immune Multiobjective Optimization Algorithm Using Unsupervised Feature Selection, in Franz Rothlauf et al. (editors), Applications of Evolutionary Computing. EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART and EvoSTOC, pp. 484--494, Springer, Lecture Notes in Computer Science Vol. 3907, Budapest, Hungary, April 2006.

  3863. Ying Zhang, Raffi Kamalian, Alice M. Agogino and Carlo H. Séquin. Design Synthesis of Microelectromechanical Systems Using Genetic Algorithms with Component-Based Genotype Representation, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 731--738, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  3864. Min Zhang, Huantong Geng, Wenjian Luo, Linfeng Huang and Xufa Wang. A hybrid of differential evolution and genetic algorithm for constrained multiobjective optimization problems, in Tzai-Der Wang, Xiaodong Li, Shu-Heng Chen, Xufa Wang, Hussein Abbass, Hitoshi Iba, Guoliang Cheng and Xin Yao (editors), Simulated Evolution and Learning, 6th International Conference, SEAL 2006, pp. 318--327, Springer, Lecture Notes in Computer Science Vol. 4247, Hefei, China, October 2006.

  3865. L. B. Zhang, C. G. Zhou, X. L. Xu, C. T. Sun and M. Liu. Multi-Objective Evolutionary Algorithm Based on Max-Min Distance Density, in International Conference on Computational Intelligence and Security (ICCIS'2006), pp. 312--315, IEEE Press, New York, 2006.

  3866. Yuanyuan Zhang, Mark Harman and S. Afshin Mansouri. The Multi-Objective Next Release Problem, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 1129--1136, Vol. 1, ACM Press, London, UK, July 2007.

  3867. Qian Zhang and Mahdi Mahfouf. A New Reduced Space Searching Algorithm (RSSA) and Its Application in Optimal Design of Alloy Steels. In 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 1815-1822, IEEE Press, Singapore, September 2007.

  3868. Jun Zhang, De-Shuang Huang and Kun-Hong Liu. Multi-Sub-Swarm Particle Swarm Optimization Algorithm for Multimodal Function Optimization, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3215--3220, IEEE Press, Singapore, September 2007.

  3869. Yifeng Zhang and Kai-Yew Lum. Integrated-Optimal Design of Airplane and Flight Control Using Genetic Algorithms, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 2980--2987, IEEE Press, Singapore, September 2007.

  3870. Lin Zhang and Yijia Cao. Application of MOEPPSO algorithm to coordinate multiple TCSC controllers in power system, in 2007 IEEE Power Engineering Society General Meeting, pp. 3380--3384, IEEE Press, Tampa, Florida, USA, June 24, 2007, ISBN 978-1-4244-1296-9.

  3871. Bin Zhang, Yjaohua Zhang, Licheng Jiao and Pu Yang. Immune system multiobjective optimization algorithm, in S. Zeng, Y. Liu, Q. Zhang and L. Kang (editors), Progress in Intelligence Computation and Applications. Second International Symposium on Intelligence Computation and Application (ISICA 2007), pp. 128--131, China University of Geosciences Press, Wuhan, China, September 21-23, 2007, ISBN 978-7-5625-2204-1.

  3872. Jingqiao Zhang and Arthur C. Sanderson. Self-Adaptive Multi-Objective Differential Evolution with Direction Information Provided by Archived Inferior Solutions, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 2806--2815, IEEE Service Center, Hong Kong, June 2008.

  3873. Min Zhang, Wenjian Luo, Xingxin Pei and Xufa Wang. The Self-Adaption Strategy for Parameter ε in ε-MOEA, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 2945--2952, IEEE Service Center, Hong Kong, June 2008.

  3874. L. Zhang, X. Y. Shao, L. Gao and W. Tao. The parameter selection system of vehicle overall design based on cooperation and specialty, in Z.Y. Shen, M.N. James, W.D. Li and Y.X. Zhao (editors), Materials and Product Technologies, pp. 261--266, Trans Tech Publications LTD, Chengdu, China, August 4-6, 2008, ISBN 978-0-87849-376-0.

  3875. Lili Zhang and Wenhua Zeng. Research on Performance Measures of Multi-objective Optimization Evolutionary Algorithms, in S. Li, T. Li and D. Ruan (editors), 2008 3rd International Conference on Intelligent System and Knowledge Engineering, Vols 1 and 2, pp. 502--507, IEEE, Xiamen, China, November 17-19, 2008, ISBN 978-1-4244-2196-1.

  3876. Qingfu Zhang, Wudong Liu and Hui Li. The Performance of a New Version of MOEA/D on CEC09 Unconstrained MOP Test Instances, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 203--208, IEEE Press, Trondheim, Norway, May 2009.

  3877. Mingming Zhang, Shuguang Zhao and Xu Wang. Multi-Objective Evolutionary Algorithm Based on Adaptive Discrete Differential Evolution, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 614--621, IEEE Press, Trondheim, Norway, May 2009.

  3878. Q. Zhang, H. Manier and M.-A. Manier. A General Model for Job Shop Problems Using Imune-Genetic Algorithm and Multiobjective Optimization Techniques, in 6th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2009), pp. 390--393, INSTICC, Milan, Italy, July 2009.

  3879. Qian Zhang and Mahdi Mahfouf. A Modified PSO with a Dynamically Varying Population and Its Application to the Multi-Objective Optimal Design of Alloy Steels, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 3241--3248, IEEE Press, Trondheim, Norway, May, 2009.

  3880. Zhuhong Zhang and Shuqu Qian. Multi-Objective Immune Optimization in Dynamic Environments and Its Application to Signal Simulation, in 2009 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA'09), pp. 246--250, IEEE Computer Society, Zhangjiajie, Hunan, China, April, 2009.

  3881. Qingfu Zhang, Hui Li, Dietmar Maringer and Edward Tsang. MOEA/D with NBI-style Tchebycheff approach for portfolio management, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3308--3315, IEEE Press, Barcelona, Spain, July 18--23, 2010.

  3882. Huan Zhang, Hong-wei Zhang and Shao-jie Qiao . Calculation of Optimal Fuzzy Equivalent Matrix Using Multi-Objective Evolutionary Algorithms, in EBM 2010: International Conference on Engineering and Business Management, Vols 1-8, pp. 5173--5176, Sci Res Publ, Chengdu, China, March 25-27, 2010, ISBN 978-1-935068-05-1.

  3883. Qian Zhang, Mahdi Mahfouf, George Panoutsos, Kathryn Beamish and Ian Norris. Multiple Characterisation Modelling of Friction Stir Welding Using a Genetic Multi-objective Data-driven Fuzzy Modelling Approach, in 2011 IEEE International Conference on Fuzzy Systems (FUZZ 2011), pp. 2288--2295, IEEE Press, Taipei, Taiwan, June 27-30, 2011, ISBN 978-1-4244-7317-5.

  3884. Bixia Zhang, Huaxi Gu, Sulei Tian and Bin Li. A Multi-objective Mapping Strategy for Application Specific Emesh Network-on-Chip (NoC), in Ying Tan, Yuhui Shi and Zhen Ji (editors), Advances in Swarm Intelligence, Third International Conference, ICSI 2012, pp. 528--536, Springer. Lecture Notes in Computer Science Vol. 7331, Shenzhen, China, June 17-20, 2012.

  3885. Hao Zhang, Yunlong Zhu and Xiaohui Yan. Multi-hive artificial bee colony algorithm for constrained multi-objective optimization, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1248--1275, IEEE Press, Brisbane, Australia, June 10-15, 2012.

  3886. Guangrui Zhang, Mahdi Mahfouf, George Panoutsos and Shen Wang. A multi-objective particle swarm optimization algorithm with a dynamic hypercube archive, mutation and population competition, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1173--1179, IEEE Press, Brisbane, Australia, June 10-15, 2012.

  3887. Li Feng Zhang and Chen Xi Zhou. Self organized parallel genetic algorithm to automatically realize diversified convergence, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 2329--2337, IEEE Press, Brisbane, Australia, June 10-15, 2012.

  3888. Wenqiang Zhang, Lin Lin, Mitsuo Gen and Chen-Fu Chien. Hybrid Sampling Strategy-based Multiobjective Evolutionary Algorithm, in C. H. Dagli (editor), Complex Adaptive Systems 2012, pp. 96--101, Elsevier Science BV, Washington, D. C., November 14-16, 2012.

  3889. Hao Zhang, Yunlong Zhu and Dingyi Zhang. Self-Adaptive Root Growth Model for Constrained Multi-Objective Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2360--2367, IEEE Press, Cancún, México, 20-23 June, 2013, ISBN 978-1-4799-0454-9.

  3890. Tiantian Zhang, Michael Georgiopoulos and Georgios C. Anagnostopoulos. S-Race: A Multi-Objective Racing Algorithm, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 1565--1572, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.

  3891. Yuzhen Zhang, Guangming Dai, Lei Peng and Maocai Wang. HMOEDA_LLE: A Hybrid Multi-objective Estimation of Distribution Algorithm Combining Locally Linear Embedding, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 707--714, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

  3892. Hu Zhang, Shenmin Song, Aimin Zhou and Xiao-Zhi Gao. A Clustering Based Multiobjective Evolutionary Algorithm, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 723--730, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

  3893. Bin Zhang, Kamran Shafi and Hussein Abbass. Online Knowledge-based Evolutionary Multi-Objective Optimization, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 2222--2229, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

  3894. Yutong Zhang, Mingxing Zhou and Zhongzhou Jiang. {A multi-agent genetic algorithm for big optimization problems, in 2015 IEEE Congress on Evolutionary Computation (CEC'2015), pp. 703--707, IEEE Press, Sendai, Japan, 25-28 May 2015, ISBN 978-1-4799-7492-4 (abstract).

  3895. Jinyuan Zhang, Aimin Zhou and Guixu Zhang. A Classification and Pareto Domination Based Multiobjective Evolutionary Algorithm, in 2015 IEEE Congress on Evolutionary Computation (CEC'2015), pp. 2883--2890, IEEE Press, Sendai, Japan, 25-28 May 2015, ISBN 978-1-4799-7492-4 (abstract).

  3896. Tiantian Zhang, Michael Georgiopoulos and Georgios C. Anagnostopoulos. SPRINT Multi-Objective Model Racing, in 2015 Genetic and Evolutionary Computation Conference (GECCO 2015), pp. 1383--1390, ACM Press, Madrid, Spain, July 11-15, 2015, ISBN 978-1-4503-3472-3 (abstract).

  3897. Yong Zhao, Carlos A. Brizuela and Nobuo Sannomiya. Application of the Partial Enumeration Selection Method in Genetic Algorithms to Solving a Multi-Objective Flowshop Problem, in 2001 IEEE International Conference on Systems, Man and Cybernetics, Vol. 4, pp. 2365--2370, 2001.

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  3899. Shuguang Zhao, Licheng Jiao, Jianxun Zhao and Yuping Wang. Evolutionary Design of Analog Circuits with a Uniform-Design Based Multi-Objective Adaptive Genetic Algorithm, in Jason Lohn, David Gwaltney, Gregory Hornby, Ricardo Zebulum, Didier Keymeulen and Adrian Stoica (editors), 2005 NASA/DoD Conference on Evolvable Hardware, pp. 26--29, IEEE Computer Society Press, Los Alamitos, California, July 2005.

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  3901. F.Q. Zhao, Q.Y. Zhang, D.M. Yu, X.H. Chen and Y.H. Yang. A hybrid algorithm based on PSO and simulated annealing and its applications for partner selection in virtual enterprise, in Advances in Intelligent Computing, Pt 1, Proceedings, Springer, pp. 380--389, Lecture Notes in Computer Science Vol. 3644, 2005.

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  3903. Yongxiang Zhao, Shengwu Xiong and Meifang Li. Constrained Single- and Multiple-Objective Optimization with Differential Evolution, in Third International Conference on Natural Computation (ICNC 2007), pp. 451--455, IEEE Computer Society, Haikou, Hainan, China, August 24-27, 2007.

  3904. Lihua Zhao, Lizhong Xu, Xianjian Xiao, Xiaofeng Ding and Jun Liu. Research on Algorithm and Project Application for Distribution Automation Optimization Planning, in International Conference on Sustainable Power Generation and Supply, 2009. (SUPERGEN'09), pp. 1--7, IEEE Computer Society, Nanjing, China, April, 2009.

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  3910. Tao Zheng, Gang Wu and De-Feng He. Nonlinear Model Predictive Control Based on Lexicographic Multi-objective Genetic Algorithm, in ICIAS 2007: International Conference on Intelligent & Advanced Systems, Vols 1-3, Proceedings, pp. 61--65, IEEE, Kuala Lumpur, Malaysia, November 25-28, 2007, ISBN 978-1-4244-1355-3.

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