List of References on Evolutionary Multiobjective Optimization

List of References 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

This list as a BibTeX, Gzipped PDF, Gzipped Postscript, or DVI file.

    A

  1. Gupta S. K. Aatmeeyata. Simulation and Optimization of an Industrial Nylon 6 Reactor: A Review, Polymer-Plastics Technology And Engineering, Vol. 37, No. 2, pp. 201--239, 1998 (abstract).
  2. M. Abachizadeh and M. Tahani. An Ant Colony Optimization Approach to Multi-objective Optimal Design of Symmetric Hybrid Laminates for Maximum Fundamental Frequency and Minimum Cost, Structural and Multidisciplinary Optimization, Vol. 37, No. 4, pp. 367--376, January 2009 (abstract).
  3. Raslan Hashim Al-Abaji. Evolutionary Techniques for Multi-Objective VLSI Netlist Partitioning, MSc Thesis, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia, August 2002 (abstract).
  4. A. Abakarov, Y. Sushkov, S. Almonacid and R. Simpson. Multiobjective Optimization Approach: Thermal Food Processing, Journal of Food Science, Vol. 74, No. 9, pp. E471--E487, November-December, 2009 (abstract).
  5. Babak Abbasi, Shahram Shadrokh and Jamal Arkat. Bi-objective Resource-constrained Project Scheduling with Robustness and Makespan Criteria, Applied Mathematics and Computation, Vol. 180, No. 1, pp. 146--152, September 2006 (abstract).
  6. Fazel Abbasi and Seyed Mehdi Hosseini. Optimal DG Allocation And Sizing in Presence of Storage Systems Considering Network Configuration Effects in Distribution Systems, IET Generation Transmission & Distribution, Vol. 10, No. 3, pp. 617--624, February 18, 2016 (abstract).
  7. 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).
  8. 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).
  9. 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).
  10. 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).
  11. Hussein A. Abbass and Ruhul Sarker. The Pareto Differential Evolution Algorithm, International Journal on Artificial Intelligence Tools, Vol. 11, No. 4, pp. 531--552, 2002 (abstract).
  12. Hussein A. Abbass. An Evolutionary Artificial Neural Networks Approach for Breast Cancer Diagnosis, Artificial Intelligence in Medicine, Vol. 25, No. 3, pp. 265--281, 2002 (abstract).
  13. 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).
  14. Hussein A. Abbass. Speeding Up Backpropagation Using Multiobjective Evolutionary Algorithms, Neural Computation, Vol. 15, No. 11, pp. 2705--2726, November 2003 (abstract).
  15. 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).
  16. 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).
  17. H.A. Abbass. An economical cognitive approach for bi-objective optimization using bliss points, visualization and interaction, in Soft Computing, 10(8):687-698, June 2006 (abstract).
  18. Hussein Abbass. Pareto-Optimal Approaches to Neuro-Ensemble Learning, in Yaochu Jin (Editor), Multi-Objective Machine Learning, pp. 407--427, Springer. Studies in Computational Intelligence, Volume 16, Berlin, 2006 (abstract).
  19. Hussein A. Abbass, Sameer Alam and Axel Bender. MEBRA: Multiobjective Evolutionary-Based Risk Assessment, IEEE Computational Intelligence Magazine, Vol. 4, No. 3, pp. 29--36, August 2009 (abstract).
  20. Mostafa I. H. Abd-El-Barr and Salman A. Khan. Design and analysis of a fault tolerant hybrid mobile scheme, Information Sciences, Vol. 177, No. 12, pp. 2602--2620, June 15, 2007 (abstract).
  21. Gh Abdollahi and M. Meratizaman. Multi-objective approach in thermoenvironomic optimization of a small-scale distributed CCHP system with risk analysis, Energy and Buildings, Vol. 43, No. 11, pp. 3144--3153, November 2011 (abstract).
  22. Wahabou Abdou, Adrien Henriet, Christelle Bloch, Dominique Dhoutaut, Damien Charlet and Francois Spies. Using an evolutionary algorithm to optimize the broadcasting methods in mobile ad hoc networks, Journal of Network and Computer Applications, Vol. 36, No. 6, pp. 1794--1804, November 2011 (abstract).
  23. 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).
  24. 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).
  25. 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).
  26. Hossam Abdelgawad, Baher Abdulhai and Mohamed Wahba. Multiobjective Optimization for Multimodal Evacuation, Transportation Research Record, Vol. 2196, pp. 21--33, 2010 (abstract).
  27. E. Abele and M. Fujara. Simulation-Based Twist Drill Design and Geometry Optimization, CIRP Annals-Manufacturing Technology, Vol. 59, No. 1, pp. 145--150, 2010 (abstract).
  28. 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).
  29. 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).
  30. 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).
  31. Hassan K. Abdulrahim and Fuad N. Alasfour. Multi-Objective Optimisation of hybrid MSF-RO desalination system using Genetic Algorithm, International Journal of Exergy, Vol. 7, No. 3, pp. 387--424, 2010 (abstract).
  32. 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).
  33. N. R. Abburi and U.S. Dixit. Multi-objective optimization of multipass turning processes, International Journal of Advanced Manufacturing Technology, Vol. 32, No. 9--10, pp. 902--910, April 2007 (abstract).
  34. 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).
  35. 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).
  36. M. A. Abido. A Niched Pareto Genetic Algorithm for multiobjective environmental/economic dispatch, International Journal of Electrical Power & Energy Systems, Vol. 25, No. 2, pp. 97--105, February 2003 (abstract).
  37. 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).
  38. M. A. Abido and J. M. Bakhashwain. Optimal VAR dispatch using a multiobjective evolutionary algorithm, International Journal of Electrical Power & Energy Systems, pp. 13--20, Vol. 27, No. 1, January 2005 (abstract).
  39. M. A. Abido. Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 3, pp. 315--329, June 2006 (abstract).
  40. 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).
  41. 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).
  42. 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).
  43. 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).
  44. M.A. Abido. Multiobjective Particle Swarm Optimization for enviromental/economic dispatch problem, Electric Power System Research, Vol. 79, No. 7, pp. 1105--1113, July 2009 (abstract).
  45. 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).
  46. Mohammad A. Abido. Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem, in Christine L. Mumford and Lakhmi C. Jain (editors), Computational Intelligence Collaboration, Fusion and Emergence, pp. 47--82, Springer, Studies in Computational Intelligence (SCI), Berlin, ISBN 978-3-642-01799-5, 2009 (abstract).
  47. M.A. Abido. Multiobjective particle swarm optimization with nondominated local and global sets, Natural Computing, Vol. 9, No. 3, pp. 747--766, September 2010 (abstract).
  48. M. A. Abido and Ashraf M. Elazouni. Multiobjective Evolutionary Finance-Based Scheduling: Entire Projects' Portfolio, Journal of Computing in Civil Engineering, Vol. 25, No. 1, pp. 85--97, January-February, 2011 (abstract).
  49. M. A. Abido. Multiobjective Particle Swarm Optimization for Optimal Power Flow Problem, in Bijaya Ketan Panigrahi, Yuhui Shi and Meng-Hiot Lim (editors), Handbook of Swarm Intelligence. Concepts, Principles and Applications, pp. 241--268, Springer-Verlag, Belin, Germany, 2011. ISBN 978-3-642-17389-9 (abstract).
  50. M. A. Abido and N. A. Al-Ali. Multi-Objective Optimal Power Flow Using Differential Evolution, Arabian Journal for Science and Engineering, Vol. 37, No. 4, pp. 991--1005, June 2012 (abstract).
  51. M.A. Abo-Sinna, Y. Yousria Abo-Elnaga and A.A. Mousa. An interactive dynamic approach based on hybrid swarm optimization for solving multiobjective programming problem with fuzzy parameters, Applied Mathematical Modelling, Vol. 38, No. 7-8, pp. 2000--2014, April 1, 2014 (abstract).
  52. M. Abouhamze and M. Shakeri. Multi-objective stacking sequence optimization of laminated cylindrical panels using a genetic algorithm and neural networks, Composite Structures, Vol. 81, No. 2, pp. 253--263, November 2007 (abstract).
  53. 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).
  54. R. Aboulaich, R. Ellaia and S. El Moumen. The Mean-Variance-CVaR model for Portfolio Optimization Modeling using a Multi-Objective Approach Based on a Hybrid Method, Mathematical Modelling of Natural Phenomena, Vol. 5, No. 7, pp. 103--108, 2010 (abstract).
  55. 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).
  56. Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors). Evolutionary Multiobjective Optimization. Theoretical Advances and Applications, Springer, USA, 2005, ISBN 1-85233-787-7.
  57. Ajith Abraham and Lakhmi Jain. Evolutionary Multiobjective Optimization, in Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors), Evolutionary Multiobjective Optimization. Theoretical Advances and Applications, pp. 1--6, Springer, USA, 2005 .
  58. 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).
  59. Ajith Abraham, Hongbo Liu, Crina Grosan and Fatos Xhafa. Nature Inspired Meta-heuristics for Grid Scheduling: Single and Multi-objective Optimization Approaches, in Fatos Xhafa and Ajith Abraham (editors), Metaheuristics for Scheduling in Distributed Computing Environments, pp. 247--272, Berlin, Germany, Springer. Studies in Computational Intelligence Vol. 146, 2008 (abstract).
  60. Ahmad Abubaker, Adam Baharum and Mahmoud Alrefaei. Automatic Clustering Using Multi-Objective Particle Swarm and Simulated Annealing, Plos One, Vol. 10, No. 7, Article Number: e0130995, July 1, 2015 (abstract).
  61. Ahmed R. Abul'Wafa. Optimization of economic/emission load dispatch for hybrid generating systems using controlled Elitist NSGA-II, Electric Power Systems Research, Vol. 105, pp. 105--151, December 2013 (abstract).
  62. 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).
  63. 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).
  64. Jesús Antonio Acosta Sarmiento. Aprendizaje de Particiones Difusas para Razonamiento Inductivo, PhD thesis, Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya, Barcelona, Spain, December 2006 (In Spanish) (abstract).
  65. 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).
  66. J. Adeyemo and F.A.O. Otieno. Multi-Objective Differential Evolution Algorithm for Solving Engineering Problems, Journal of Applied Sciences, Vol. 9, No. 20, pp. 3652--3661, 2009 (abstract).
  67. Josiah Adeyemo and Fred Otieno. Differential Evolution algorithm for solving multi-objective crop planning model, Agricultural Water Management, Vol. 97, No. 6, pp. 848--856, June, 2010 (abstract).
  68. Josiah Adeyemo, Faizal Bux and Fred Otieno. Differential evolution algorithm for crop planning: Single and multi-objective optimization model, International Journal Of The Physical Sciences, Vol. 5, No. 10, pp. 1592-1599, September 4, 2010 (abstract).
  69. J. A. Adeyemo and O.O. Olofintoye. Evaluation of Combined Pareto Multiobjective Differential Evolution on Tuneable Problems, Internatioanl Journal of Simulation Modelling, Vol. 13, No. 3, pp. 276--287, September 2014 (abstract).
  70. M. Rezaei Adaryani and A. Karami. Artificial bee colony algorithm for solving multi-objective optimal power flow problem, International Journal of Electrical Power & Energy Systems, Vol. 53, pp. 219--230, December 2013 (abstract).
  71. A. M. Adham, N. Mohd-Ghazali and R. Ahmad. Performance optimization of a microchannel heat sink using the Improved Strength Pareto Evolutionary Algorithm (SPEA2), Journal of Engineering Thermophysics, Vol. 24, No. 1, pp. 86--100, January 2015 (abstract).
  72. M. A. Adibi, M. Zandieh and M. Amiri. Multi-objective scheduling of dynamic job shop using variable neighborhood search, Expert Systems With Applications, Vol. 37, No. 1, pp. 282--287, January 2010 (abstract).
  73. Salem Adra. Optimisation Techniques for Gas Turbine Engine Control Systems, Masters thesis, Department of Computer Science, The University of Sheffield, 27 August, 2003 (abstract).
  74. 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).
  75. 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).
  76. 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.
  77. 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).
  78. 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).
  79. Salem Fawaz Adra. Improving Convergence, Diversity and Pertinency in Multiobjective Optimisation, PhD thesis, Department of Automatic Control and Systems Engineering, The University of Sheffield, UK, October 2007 (abstract).
  80. Salem F. Adra and Peter F. Fleming. A Diversity Management Operator for Evolutionary Many-Objective Optimisation, in Matthias Ehrgott, Carlos M. Fonseca, Xavier Gandibleux, Jin-Kao Hao and Marc Sevaux (editors), Evolutionary Multi-Criterion Optimization. 5th International Conference, EMO 2009, pp. 81--94, Springer. Lecture Notes in Computer Science Vol. 5467, Nantes, France, April 2009 (abstract).
  81. Salem F. Adra, Tony J. Dodd, Ian A. Griffin and Peter J. Fleming. Convergence Acceleration Operator for Multiobjective Optimization, IEEE Transactions on Evolutionary Computation, Vol. 13, No. 4, pp. 825--847, August 2009 (abstract).
  82. Salem F. Adra, Ian Griffin and Peter J. Fleming. A Convergence Acceleration Technique for Multiobjective Optimisation, in Chi-Keong Goh, Yew-Soon Ong, and Kay Chen Tan (editors), Multi-Objective Memetic Algorithms, chapter 9, pp. 183--205, Springer, Studies in Computational Intelligence, Vol. 171, Berlin, Germany, 2009. ISBN 978-3-540-88050-9 (abstract).
  83. 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).
  84. Salem F. Adra and Peter J. Fleming. Diversity Management in Evolutionary Many-Objective Optimization, IEEE Transactions on Evolutionary Computation, Vol. 15, No. 2, pp. 183--195, April 2011 (abstract).
  85. 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).
  86. 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).
  87. Zouhaler Affi, Badreddine El-Kribi and Lotfi Romdhane. Advanced mechatronic design using a multi-objective genetic algorithm optimization of a motor-driven four-bar system, Mechatronics, Vol. 17, No. 9, pp. 489-500, November 2007 (abstract).
  88. F. Afsari, M. Eftekhari, E. Eslami and P.-Y. Woo. Interpretability-based fuzzy decision tree classifier a hybrid of the subtractive clustering and the multi-objective evolutionary algorithm, Soft Computing, Vol. 17, No. 9, pp. 1673--1686, September 2013 (abstract).
  89. A. Afshar, F. Sharifi and M.R. Jalali. Non-dominated archiving multi-colony ant algorithm for multi-objective optimization: Application to multi-purpose reservoir operation, Engineering Optimization, Vol. 41, No. 4, pp. 313--325, April 2009 (abstract).
  90. Abbas Afshar and Habib Fathi. Fuzzy multi-objective optimization of finance-based scheduling for construction projects with uncertainties in cost, Engineering Optimization, Vol. 41, No. 11, pp. 1063-1080, November, 2009 (abstract).
  91. A. Afshar, A. Kasaeian Ziaraty, A. Kaveh and F. Sharifi. Nondominated Archiving Multicolony Ant Algorithm in Time-Cost Trade-Off Optimization, Journal of Construction Engineering and Management, Vol. 135, No. 7, pp. 668--674, July 2009 (abstract).
  92. Abbas Afshar, Hamideh Kazemi and Motahareh Saadatpour. Particle Swarm Optimization for Automatic Calibration of Large Scale Water Quality Model (CE-QUAL-W2): Application to Karkheh Reservoir, Iran, Water Resources Management, Vol. 25, No. 10, pp. 2613--2632, August 2011 (abstract).
  93. Abbas Afshar and Hamideh Kazemi. Multi objective calibration of large scaled water quality model using a hybrid particle swarm optimization and neural network algorithm, KSCE Journal of Civil Engineering, Vol. 16, No. 6, pp. 913--918, September 2012 (abstract).
  94. Arshad Afzal and Kwang-Yong Kim. Multi-Objective Optimization of a Passive Micromixer Based on Periodic Variation of Velocity Profile, Chemical Engineering Communications, Vol. 202, No. 3, pp. 322--331, March 4, 2015 (abstract).
  95. Ehsan Afzalan and Mahmood Joorabian. Emission, reserve and economic load dispatch problem with non-smooth and non-convex cost functions using epsilon-multi-objective genetic algorithm variable, International Journal of Electrical Power & Energy Systems, Vol. 52, pp. 55--67, November 2013 (abstract).
  96. 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).
  97. 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).
  98. Pranab Agarwal. Conceptual Design of Long-Span Trusses using Multi-Stage Heuristics, Masters Thesis, Texas A&M University, College Station, Texas, USA, May 2005 (abstract).
  99. P. Agarwal and A.M. Raich. Design and optimization of steel trusses using genetic algorithms, parallel computing and human-computer interaction, Structural Engineering and Mechanics, Vol. 23, No. 4, pp. 325--337, July 10, 2006 (abstract).
  100. Aaditya Agarwal and Santosh K. Gupta. Jumping gene adaptations of NSGA-II and their use in the multi-objective optimal design of shell and tube heat exchangers, Chemical Engineering Research & Design, Vol. 86, No. A2, pp. 123--139, February, 2008 (abstract).
  101. Aaditya Agarwal and Santosh K. Gupta. Multiobjective optimal design of heat exchanger networks using new adaptations of the elitist nondominated sorting genetic algorithm, NSGA-II, Industrial & Engineering Chemistry Research, Vol. 47, No. 10, pp. 3489--3501, May 21, 2008 (abstract).
  102. Akash Agarwal, Frank Pettersson, Arunima Singh, Chang Sun Kong, Henrik Saxén, Krishna Rajan, Shuichi Iwata and Nirupam Chakraborti. Identification and Optimization of AB_2 Phases Using Principal Component Analysis, Evolutionary Neural Nets and Multiobjective Genetic Algorithms, Materials and Manufacturing Processes, Vol. 24, No. 3, pp. 274--281, March 2009 (abstract).
  103. A. Agarwal, U. Tewary, F. Pettersson, S. Das, H. Saxen and N. Chakraborti. Analysing blast furnace data using evolutionary neural network and multiobjective genetic algorithms, Ironmaking & Steelmaking, Vol. 37, No. 5, pp. 353--359, July, 2010 (abstract).
  104. Manoj Agarwal, Lovekesh Vig and Naveen Kumar. Multi-objective Robot Coalition Formation for Non-additive Environments, in Sabina Jeschke, Honghai Liu and Daniel Schilberg (editors), Intelligent Robotics and Applications, 4th International Conference, ICIRA 2011, pp. 346--355, Springer. Lecture Notes in Artificial Intelligence Vol. 7101, Aachen, Germany, December 6-8, 2011 (abstract).
  105. Manoj Agarwal, Naveen Kumar and Lovekesh Vig. Non-additive multi-objective robot coalition formation, Expert Systems with Applications, Vol. 41, No. 8, pp. 3736--3747, June 15, 2014 (abstract).
  106. Manoj Agarwal, Nitin Agrawal, Shikhar Sharma, Lovekesh Vig and Naveen Kumar. Parallel multi-objective multi-robot coalition formation, Expert Systems With Applications, Vol. 42, No. 21, pp. 7797--7811, November 30, 2015 (abstract).
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  1192. Dimo Brockhoff, Tobias Friedrich, Nils Hebbinghaus, Christian Klein, Frank Neumann and Eckart Zitzler. Do Additional Objectives Make a Problem Harder?, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 765--772, Vol. 1, ACM Press, London, UK, July 2007.
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  1195. D. Brockhoff and E. Zitzler. Offline and Online Objective Reduction in Evolutionary Multiobjective Optimization Based on Objective Conflicts. TIK Report 269, Institut für Technische Informatik und Kommunikationsnetze, ETH Zürich, April 2007.
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  1197. Dimo Brockhoff, Tobias Friedrich and Frank Neumann. Analyzing Hypervolume Indicator Based Algorithms, in Günter Rudolph, Thomas Jansen, Simon Lucas, Carlo Poloni and Nicola Beume (editors), Parallel Problem Solving from Nature--PPSN X, pp. 651--660, Springer, Lecture Notes in Computer Science Vol. 5199, Dortmund, Germany, September 2008.
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  1204. Nicola Beume and Dimo Brockhoff. Summary of the First GECCO Workshop on Theoretical Aspects of Evolutionary Multiobjective Optimization, Rapport de Recherche No. RR-7444, INRIA Saclay---Île-de-France, 2010.
  1205. Dimo Brockhoff. Theoretical Aspects of Evolutionary Multiobjective Optimization, in Anne Auger and Benjamin Doerr (editors), Theory of Randomized Search Heuristics. Foundations and Recent Developments, pp. 101--139, Chapter 4, World Scientific, Singapore, 2011, ISBN 978-981-4282-66-6.
  1206. Dimo Brockhoff, Tobias Wagner and Heike Trautmann. On the Properties of the R2 Indicator, in 2012 Genetic and Evolutionary Computation Conference (GECCO'2012), pp. 465--472, ACM Press, Philadelphia, USA, July 2012, ISBN: 978-1-4503-1177-9.
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  1562. Pei Chann Chang, Shih Hsin Chen, Qingfu Zhang and Jun Lin Lin. MOEA/D for Flowshop Scheduling Problems, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 1433--1438, IEEE Service Center, Hong Kong, June 2008 (abstract).
  1563. Pei-Chann Chang, Shih-Hsin Chen, Chin-Yuan Fan and Chien-Lung Chan. Genetic Algorithm Integrated with Artificial Chromosomes for Multi-objective Flowshop Scheduling Problems, Applied Mathematics and Computation, Vol. 205, No. 2, pp. 550--561, November 15, 2008 (abstract).
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  1567. Dongxia Chang, Yao Zhao and Yanhui Xiao. A Robust Dynamic Niching Genetic Clustering Approach for Image Segmentation, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 1077--1083, ACM Press, Dublin, Ireland, July 12-16, 2011.
  1568. Ya-Chin Chang. Multi-Objective Optimal SVC Installation for Power System Loading Margin Improvement, IEEE Transactions on Power Systems, Vol. 27, No. 2, pp. 984--992, May 2012.
  1569. Yanling Chang, Alan L. Erera and Chelsea C. White III. A Leader-Follower Partially Observed, Multiobjective Markov Game, Annals of Operations Research, Vol. 235, No. 1, pp. 103--128, December 2015 (abstract).
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  1577. Ioannis Chatzikonstantinou, Sevil Sariyildiz and Michael S. Bittermann. Conceptual Airport Terminal Design Using Evolutionary Computation, in 2015 IEEE Congress on Evolutionary Computation (CEC'2015), pp. 2245--2252, IEEE Press, Sendai, Japan, 25-28 May 2015, ISBN 978-1-4799-7492-4 (abstract).
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  1579. Pranava Chaudhari and Santosh K. Gupta. Multiobjective Optimization of a Fixed Bed Maleic Anhydride Reactor Using an Improved Biomimetic Adaptation of NSGA-II, Industrial & Engineering Chemistry Research, Vol. 51, No. 8, pp. 3279--3294, February 29, 2012.
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  1583. Narendra C. Chauhan, M. V. Kartikeyan and Ankush Mittal. CAD of RF Windows Using Multiobjective Particle Swarm Optimization, IEEE Transactions on Plasma Science, Vol. 37, No. 6, pp. 1104--1109, June, 2009.
  1584. Daniel A. R. Chaves, Carmelo J. A. Bastos-Filho and Joaquim F. Martins-Filho. Up-grading the Physical Topology of Transparent Optical Networks Using a Multiobjective Evolutionary Algorithm Considering Quality of Service and Capital Cost, in 2009 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC), pp. 51--56, IEEE Press, Belem, November 3-6, 2009.
  1585. Daniel A. Chaves, Carmelo J. Bastos-Filho and Joaquim F. Martins-Filho. Multiobjective Physical Topology Design of All-Optical Networks Considering QoS and Capex, in National Fiber Optic Engineers Conference (NFOEC), pp. 1--3, Optical Society of America, San Diego, California, USA, March 21-25, 2010.
  1586. J.M. Chaves-González and M.A. Vega-Rodríguez. DNA Sequence Design for Reliable DNA Computing by Using a Multiobjective Approach, in A. Szakal (editor), 13th IEEE International Symposium on Computational Intelligence and Informatics (CINTI 2012), pp. 73--78, IEEE Press, Budapest, Hungary, November 20-22, 2012, ISBN 978-1-4673-5206-2.
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  1589. Z. H. Che and H. S. Wang. Supplier selection and supply quantity allocation of common and non-common parts with multiple criteria under multiple products, in Computers & Industrial Engineering, Vol. 55, No. 1, pp. 110--133, June 1, 2008.
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  1594. Yan Chen, Masakuni Narita, Masashi Tsuji and Sangduk Sa. A Genetic Algorithm Approach to Optimization for the Radiological Worker Allocation Problem, Health Physics, Vol. 70, No. 2, pp. 180--186, February 1996 (abstract).
  1595. M. W. Chen and A. M. S. Zalzala. A Genetic Approach to Motion Planning of Redundant Mobile Manipulator Systems Considering Safety and Configuration, Journal of Robotic Systems, Vol. 14, No. 7, pp. 529--544, July 1997 (abstract).
  1596. H. W. Chen and Ni-Bin Chang. Water Pollution Control in the River Basin by Fuzzy Genetic Algorithm-Based Multiobjective Programming Modeling, Water Science and Technology, Vol. 37, No. 8, pp. 55--63, 1998 (abstract).
  1597. Yun-Wen Chen and Gwo-Hshiung Tzeng. A Fuzzy Multi-objective Model for Reconstructing the Post-quake Road-network by Genetic Algorithm, International Journal of Fuzzy Systems, Vol. 1, No. 2, pp. 85--95, December 1999 (abstract).
  1598. Xianming Chen. Pareto Tree Searching Genetic Algorithm: Approaching Pareto Optimal Front by Searching Pareto Optimal Tree. Technical Report NK-CS-2001-002, Department of Computer Science, Nankai University, Tianjin, China, 2001 (abstract).
  1599. Jian-Hung Chen and Shinn-Ying Ho. Multi-Objective Evolutionary Optimization of Flexible Manufacturing Systems, in Lee Spector, Erik D. Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max. H. Garzon and Edmund Burke (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2001), pp. 1260--1267, Morgan Kaufmann Publishers, San Francisco, California, July 2001 (abstract).
  1600. W. C. Chen, N. B. Chang and W. K. Shieh. Advanced Hybrid Fuzzy-neural Controller for Industrial Wastewater Treatment, Journal of Environmental Engineering-ASCE, Vol. 127, No. 11, pp. 1048--1059, November 2001 (abstract).
  1601. Jian-Hung Chen, David E. Goldberg, Shinn-Ying Ho and Kumara Sastry. Fitness Inheritance in Multi-Objective Optimization, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 319--326, Morgan Kaufmann Publishers, San Francisco, California, July 2002 (abstract).
  1602. Anthony Chen, Piya Chootinan and Surachet Pravinvongvuth. An Evolutionary Approach for Finding Optimal Automatic Vehicle Identification Reader Locations in Transportation Networks, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 181--187, Portland, Oregon, USA, June 2004 (abstract).
  1603. Jian-Hung Chen. Theory and Applications of Efficient Multi-Objective Evolutionary Algorithms, PhD thesis, College of Information and Electrical Engineering of the Feng Chia University, Taichung, Taiwan, R.O.C., 2004 (abstract).
  1604. Jian-Hung Chen, Hung-Ming Chen and Shinn-Ying Ho. Design of Nearest Neighbor Classifiers Using an Intelligent Multi-objective Evolutionary Algorithm, in Chengqi Zhang, Hans W. Guesgen and Wai K. Yeap (editors), PRICAI 2004: Trends in Artificial Intelligence. 8th Pacific Rim International Conference on Artificial Intelligence, pp. 262--271, Springer-Verlag. Lecture Notes in Artificial Intelligence Vol. 3157, Auckland, New Zealand, August, 2004 (abstract).
  1605. Qian Chen and Sheng-Uei Guan. Incremental Multiple Objective Genetic Algorithms, IEEE Transactions on Systems, Man and Cybernetics---Part B: Cybernetics, Vol. 34, No. 3, pp. 1325--1334, June 2004 (abstract).
  1606. Y. L. Chen and Y. L. Ke. Multi-Objective VAr Planning for Large-Scale Power Systems Using Projection-Based Two-Layer Simulated Annealing Algorithms, IEE Proceedings-Generation Transmission and Distribution, Vol. 151, No. 4, pp. 555--560, July 2004 (abstract).
  1607. J.H. Chen, H.M. Chen and S.Y. Ho. Design of Nearest Neighbor Classifiers: Multi-objective Approach, International Journal of Approximate Reasoning, Vol. 40, Nos. 1-2, pp. 3--22, July 2005 (abstract).
  1608. Jian-Hung Chen, Shinn-Ying Ho and David E. Goldberg. Quality-Time Analysis of Multi-Objective Evolutionary Algorithms, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1455--1462, Vol. 2, ACM Press, New York, USA, June 2005 (abstract).
  1609. Enhong Chen and Feng Wang. Dynamic Clustering Using Multi-objective Evolutionary Algorithm, in Yue Hao et al. (editors), Computational Intelligence and Security. International Conference, CIS 2005, pp. 73--80, Springer, Lecture Notes in Artificial Intelligence Vol. 3801, Xi'an, China, December 2005 (abstract).
  1610. D. Chen, J.A. Quirein, H.D. Smith, S. Hamid and J. Grable. Neural Network Ensemble Selection Using a Multi-objective Genetic Algorithm in Processing Pulsed Neutron Data, Petrophysics, Vol. 46, No. 5, pp. 323--334, October 2005 (abstract).
  1611. H.W. Chen and N.B. Chang. Decision Support for Allocation of Watershed Pollution Load Using Grey Fuzzy Multiobjective Programming, Journal of the American Water Resources Association, Vol. 42, No. 3, pp. 725--745, June 2006 (abstract).
  1612. Jun Chen and Mahdi Mahfouf. A Population Adaptive Based Immune Algorithm for Solving Multi-objective Optimization Problems, in Hughes Bersini and Jorge Carneiro (editors), Artificial Immune Systems, 5th International Conference, ICARIS 2006, Proceedings, pp. 280--293, Springer-Verlag, Lecture Notes in Computer Science Vol. 4163, Oeiras, Portugal, September 2006 (abstract).
  1613. Huanhuan Chen and Xin Yao. Evolutionary Multiobjective Ensemble Learning Based on Bayesian Feature Selection, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 267--274, IEEE, Vancouver, BC, Canada, July 2006 (abstract).
  1614. Anthony Chen, Kitti Subprasom and Zhaowang Ji. A Simulation-based Multi-objective Genetic Algorithm (SMOGA) Procedure for BOT Network Design Problem, Optimization and Engineering, Vol. 7, No. 3, pp. 225--247, September 2006 (abstract).
  1615. Jian-Hung Chen. Simultaneous Optimization of Production Planning and Inspection Planning for Flexible Manufacturing Systems, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 1928--1935, Vol. 2, ACM Press, London, UK, July 2007 (abstract).
  1616. Yi Chen and Matthew P. Cartmell. Multi-Objective Optimisation on Motorised Momentum Exchange Tether for Payload Orbital Transfer, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 987--993, IEEE Press, Singapore, September 2007 (abstract).
  1617. Min-Rong Chen, Yong-zai Lu and Gen-ke Yang. Multiobjective Extremal Optimization with Applications to Engineering Design, Journal of Zhejiang University SCIENCE A, Vol. 8, No. 12, pp. 1905--1911, November 2007 (abstract).
  1618. Juan Chen, Lihong Xu and Changliang Yuan. IPGA Based Multi-Objective Compatible Control Algorithm and its Application in Oversaturated Adjacent Intersection Control, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3187--3194, IEEE Press, Singapore, September 2007 (abstract).
  1619. Ho-Wen Chen, Shu-Kuang Ning, Ruey-Fang Yu and Ming-Sung Hung. Optimizing the Monitoring Strategy of Wastewater Treatment Plants by Multiobjective Neural Networks Approach, Environmental Monitoring and Assessment, Vol. 125, Nos. 1-3, pp. 325--332, February 2007 (abstract).
  1620. Li Chen, James McPhee, William W.G. Yeh. A Diversified Multiobjective GA for Optimizing Reservoir Rule Curves, Advances in Water Resources , Vol. 30, No. 5 , pp. 1082--1093, May 2007 (abstract).
  1621. Min-Rong Chen and Yong-Zal Lu. A Novel Elitist Multiobjective Optimization Algorithm: Multiobjective Extremal Optimization, European Journal of Operational Research, Vol. 188, No. 3, pp. 637--651, August 1, 2008 (abstract).
  1622. Min-Rong Chen, Yong-Zai Lu and Genke Yang. Multiobjective Optimization Using Population-based Extremal Optimization, Neural Computing & Applications, Vol. 17, No. 2, pp. 101--109, March 2008 (abstract).
  1623. Wang Chen, Yan-jun Shi and Hong-fei Teng. A Generalized Differential Evolution Combined with EDA for Multi-objective Optimization Problems, in De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine, and Kang-Hyun Jo (editors), Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 4th International Conference on Intelligent Computing (ICIC'2008), pp. 140--147, Springer, Lecture Notes in Computer Science, Vol. 5227, Shanghai, China, September 15-18, 2008, ISBN 978-3-540-85983-3 (abstract).
  1624. Liang-Hsuan Chen and Cheng-Hsiung Chiang. Multi-Objective Optimization in Reliability System Using Genetic Algorithm and Neural Network, Asia-Pacific Journal of Operational Research, Vol. 25, No. 5, pp. 649--672, October 2008 (abstract).
  1625. Jianyong Chen, Qiuzhen Lin and Qingbin Hu. A Novel Clonal Algorithm for Multiobjective Optimization, in 2008 International Workshop on Education Technology and Training & 2008 International Workshop on Geoscience and Remote Sensing, pp. 613--616, IEEE Computer Society, Shanghai, China, December 21-22, 2008 (abstract).
  1626. Huanhuan Chen. Diversity and Regularization in Neural Network Ensembles, PhD thesis, School of Computer Science, University of Birmingham, UK, October 2008 (abstract).
  1627. Chun-Hao Chen, Tzung-Pei Hong, V.S. Tseng and Lien-Chin Chen. A Multi-objective Genetic-fuzzy Mining Algorithm, in 2008 IEEE International Conference on Granular Computing, pp. 115--120, IEEE Press, Hangzhou, China, August 2008 (abstract).
  1628. T.Y. Chen and H.C. Chen. Mixed-discrete Structural Optimization Using a Rank-niche Evolution Strategy, Engineering Optimization, Vol. 41, No. 1, pp. 39--58, January 2009 (abstract).
  1629. Yidong Chen, Xiaodong Shi, Changle Zhou and Qingyang Hong. A Word Alignment Model Based on Multiobjective Evolutionary Algorithms, Computers & Mathematics with Applications, Vol. 57, No. 11-12, pp. 1724--1729, June 2009 (abstract).
  1630. S. L. Chen, R. J. Jiao and M. M. Tseng. Evolutionary Product Line Design Balancing Customer Needs and Product Commonality, CIRP Annals-Manufacturing Technology, Vol. 58, No. 1, pp. 123--126, 2009 (abstract).
  1631. Chih-Ming Chen, Ying-ping Chen and Qingfu Zhang. Enhancing MOEA/D with Guided Mutation and Priority Update for Multi-Objective Optimization, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 209--216, IEEE Press, Trondheim, Norway, May 2009 (abstract).
  1632. Jian Chen, Jie Jia, Yingyou Wen, Dazhe zhao and Jiren Liu. A Genetic Approach to Channel Assignment for Multi-radio Multi-channel Wireless Mesh Networks, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 39--46, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6 (abstract).
  1633. Jian Chen, Jie Jia, Yingyou Wen, Dazhe zhao and Jiren Liu. Modeling and Extending Lifetime of Wireless Sensor Networks Using Genetic Algorithm, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 47--54, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6 (abstract).
  1634. Qiong Chen, Shengwu Xiong and Hongbing Liu. Evolutionary Multi-objective Optimization Algorithm Based on Global Crowding Diversity Maintenance Strategy, in 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 803--806, ACM Press, Shanghai, China, June 12-14, 2009, ISBN 978-1-60558-326-6 (abstract).
  1635. Stephen Chen. Locust Swarms — A New Multi-Optima Search Technique, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 1745--1752, IEEE Press, Trondheim, Norway, May, 2009 (abstract).
  1636. Jie Chen, Bin Xin, Zhihong Peng, Lihua Dou and Juan Zhang. Optimal Contraction Theorem for Exploration-Exploitation Tradeoff in Search and Optimization, IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans, Vol. 39, No. 3, pp. 680--691, May, 2009 (abstract).
  1637. Jinzhu Chen, Guolong Chen and Wenzhong Guo. A Discrete PSO for Multi-objective Optimization in VLSI Floorplanning. in Zhihua Cai, Zhenhua Li, Zhuo Khang, and Yong Liu, (editors), Advances in Computation and Intelligence, 4th International Symposium, ISCA 2009, pp. 400-410, Springer, Lecture Notes in Computer Science Vol. 5821, Huangshi, China, October, 2009 (abstract).
  1638. Hao Chen, John A. Clark, Juan E. Tapiador, Siraj A. Shaikh, Howard Chivers and Philip Nobles. A Multi-objective Optimisation Approach to IDS Sensor Placement, in A. Herrero, P. Gastaldo, R. Zunino and E. Corchado (editors), Computational Intelligence in Security for Information Systems, pp. 101--108, Springer. Advances in Intelligent and Soft Computing Vol. 63, Burgos, Spain, September 23-26, 2009, ISBN 978-3-642-04090-0 (abstract).
  1639. Anthony Chen, Juyoung Kim, Seungjae Lee and Youngchan Kim. Stochastic Multi-objective Models for Network Design Problem, Expert Systems with Applications, Vol. 37, No. 2, pp. 1608--1619, March, 2010 (abstract).
  1640. Jianyong Chen, Qiuzhen Lin and Zhen Ji. A Hybrid Immune Multiobjective Optimization Algorithm, European Journal of Operational Research, Vol. 204, No. 2, pp. 294--302, July 16, 2010 (abstract).
  1641. Yee Ming Chen and Wen-Shiang Wang. Environmentally Constrained Economic Dispatch Using Pareto Archive Particle Swarm Optimisation, International Journal of Systems Science, Vol. 41, No. 5, pp. 593--605, 2010 (abstract).
  1642. Jing Chen, Yan Lin, Jun Zhou Huo, Ming Xia Zhang and Zhuo Shang Ji. Optimization of Ship's Subdivision Arrangement for Offshore Sequential Ballast Water Exchange Using a Non-dominated Sorting Genetic Algorithm, Ocean Engineering, Vol. 37, No. 11-12, pp. 978--988, August, 2010 (abstract).
  1643. Jing Chen, Yan Lin, Jun Zhou Huo, Ming Xia Zhang and Zhuo Shang Ji. Optimal Ballast Water Exchange Sequence Design Using Symmetrical Multitank Strategy, Journal of Marine Science and Technology, Vol. 15, No. 3, pp. 280--293, September, 2010 (abstract).
  1644. Jianyong Chen, Qiuzhen Lin and Qingbin Hu. Application of Novel Clonal Algorithm in Multiobjective Optimization, International Journal of Information Technology & Decision Making, Vol. 9, No. 2, pp. 239--266, March 2010 (abstract).
  1645. Chiu-Hung Chen, Ta-Yuan Chou, Tung-Kuan Liu, Jyh-Horng Chou and Chung-Nan Lee. Optimization of Short-Haul Airline Crew Pairing Problems Using a Multiobjective Genetic Algorithm, International Journal of Innovative Computing Information and Control, Vol. 6, No. 9, pp. 3943--3959, September 2010 (abstract).
  1646. Jing Chen, Yan Lin, Junzhou Huo, Mingxia Zhang and Zhuoshang Ji. Optimization of Ships' Diagonal Ballast Water Exchange Sequence Using a Multiobjective Genetic Algorithm, Journal of Ship Research, Vol. 54, No. 4, pp. 257--267, December 2010 (abstract).
  1647. Chun-Hao Chen and Tzung-Pei Hong and V.S. Tseng. A SPEA2-based Genetic-fuzzy Mining Algorithm, in 2010 IEEE International Conference on Fuzzy Systems, pp. 1--5, IEEE Press, Barcelona, Spain, July 2010 (abstract).
  1648. Chih-Ming Chen, Ying-ping Chen, Tzu-Ching Shen and John K. Zao. Optimizing Degree Distributions in LT Codes by Using the Multiobjective Evolutionary Algorithm Based on Decomposition, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3635--3642, IEEE Press, Barcelona, Spain, July 18-23, 2010 (abstract).
  1649. Hao Chen, John A. Clark, Siraj A. Shaikh, Howard Chivers and Philip Nobles. Optimising IDS Sensor Placement, in Fifth International Conference on Availability, Reliability and Security (ARES'2010), pp. 315--320, IEEE Computer Society Press, Krakow, Poland, 15-18 February 2010 (abstract).
  1650. Huanhuan Chen and Xin Yao. Multiobjective Neural Network Ensembles Based on Regularized Negative Correlation Learning, IEEE Transactions on Knowledge and Data Engineering, Vol. 22, No. 12, pp. 1738--1751, December 2010 (abstract).
  1651. Yun Chen and Hanhong Zhu. PSO Heuristics Algorithm for Portfolio Optimization, in Ying Tan, Yuhui Shi and Kay Chen Tan (editors), Advances in Swarm Intelligence, First International Conference, ICSI 2010, pp. 183--190, Springer. Lecture Notes in Computer Science Vol. 6145, Beijing, China, June 12-15, 2010 (abstract).
  1652. Yen-Liang Chen and Xiang-Han Chen. An Evolutionary PageRank Approach for Journal Ranking with Expert Judgements, Journal of Information Science, Vol. 37, No. 3, pp. 254--272, June 2011 (abstract).
  1653. Yu Chen, Xiufen Zou and Weicheng Xie. Convergence of Multi-objective Evolutionary Algorithms to a Uniformly Distributed Representation of the Pareto Front, Information Sciences, Vol. 181, No. 16, pp. 3336--3355, August 15, 2011 (abstract).
  1654. Jianyong Chen, Qiuzhen Lin and Zhen Ji. Chaos-based Multi-objective Immune Algorithm with a Fine-grained Selection Mechanism, Soft Computing, Vol. 15, No. 7, pp. 1273--1288, July 2011 (abstract).
  1655. Yi Chen, Yong Ma, Zheng Lu, Lixia Qiu and Jin He. Terahertz Spectroscopic Uncertainty Analysis for Explosive Mixture Components Determination Using Multi-objective Micro-genetic Algorithm, Advances in Engineering Software, Vol. 42, No. 9, pp. 649--659, September 2011 (abstract).
  1656. Stephen Chen and James Montgomery. Selection Strategies for Initial Positions and Initial Velocities in Multi-Optima Particle Swarms, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 53--60, ACM Press, Dublin, Ireland, July 12-16, 2011 (abstract).
  1657. De-bao Chen, Feng Zou and Jiang-tao Wang. A Multi-objective Endocrine PSO Algorithm and Application, Applied Soft Computing, Vol. 11, No. 8, pp. 4508--4520, December 2011 (abstract).
  1658. Shih-Pin Chen and Ming-Jiun Tsai. Time-cost Trade-off Analysis of Project Networks in Fuzzy Environments, European Journal of Operational Research, Vol. 212, No. 2, pp. 386--397, July 16, 2011 (abstract).
  1659. Stephen Chen and James Montgomery. A Simple Strategy to Maintain Diversity and Reduce Crowding in Particle Swarm Optimization, in Dianhui Wang and Mark Reynolds (editors), AI 2011: Advances in Artificial Intelligence, 24th Australasian Joint Conference, pp. 281--290, Springer. Lecture Notes in Artificial Intelligence Vol. 7106, Perth, Australia, December 5-8, 2011 (abstract).
  1660. Chun-Ta Chen and Pham Hoang-Vuong. Trajectory Planning in Parallel Kinematic Manipulators Using a Constrained Multi-objective Evolutionary Algorithm, Nonlinear Dynamics, Vol. 67, No. 2, pp. 1669--1681, January 2012 (abstract).
  1661. Wei-Mei Chen, Hsien-Kuei Hwang and Tsung-Hsi Tsai. Maxima-finding Algorithms for Multidimensional Samples: A Two-phase Approach, Computational Geometry-Theory and Applications, Vol. 45, No. 1-2, pp. 33--53, January-February, 2012 (abstract).
  1662. Chiu-Hung Chen, Tung-Kuan Liu, I-Ming Huang and Jyh-Horng Chou. Multiobjective Synthesis of Six-bar Mechanisms Under Manufacturing and Collision-free Constraints, IEEE Computational Intelligence Magazine, Vol. 7, No. 1, pp. 36--48, February, 2012 (abstract).
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  1677. Hanning Chen, Yunlong Zhu, Lianbo Ma and Ben Niu. Multiobjective RFID Network Optimization Using Multiobjective Evolutionary and Swarm Intelligence Approaches, Mathematical Problems in Engineering, Article Number: 961412, 2014 (abstract).
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  1682. Xu Chen, Wenli Du and Feng Qian. Multi-Objective Differential Evolution with Ranking-Based Mutation Operator and its Application in Chemical Process Optimization, Chemometrics and Intelligent Laboratory Systems, Vol. 136, pp. 85--96, August 15, 2014 (abstract).
  1683. Wenliang Chen, Chonghua Yao and Xiwu Lu. Optimal Design Activated Sludge Process by Means of Multi-Objective Optimization: Case Study in Benchmark Simulation Model 1 (BSM1), Water Science and Technology, Vol. 69, No. 10, pp. 2052--2058, 2014 (abstract).
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  1860. Antonio Della Cioppa, Angelo Marcelli and Prisco Napoli. Speciation in Evolutionary Algorithms: Adaptive Species Discovery, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 1053--1060, ACM Press, Dublin, Ireland, July 12-16, 2011.
  1861. Michael P. Cipold, Pradyumn Kumar Shukla, Claus C. Bachmann, Kaibin Bao and Hartmut Schmeck. An Evolutionary Optimization Approach for Bulk Material Blending Systems, in Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia and Mario Pavone (editors), Parallel Problem Solving from Nature - PPSN XII, 12th International Conference, pp. 478--488, Springer. Lecture Notes in Computer Science Vol. 7491, Taormina, Italy, September 1-5, 2012.
  1862. Mattian Ciprian, Massimiliano Kaucic, Guilia Nogherotto, Valentino Pediroda and Danilo DiStefano. Multiattribute Methodologies in Financial Decision Aid, in Jean-Philippe Rennard (editor), Handbook of Research on Nature Inspired Computing for Economy and Management, pp. 869--884, Vol. II, Idea Group Reference, Hershey, UK, 2006, ISBN 1-59140-984-5.
  1863. Mattia Ciprian, Valentino Pediroda and Carlo Poloni. Multi Criteria Decision Aiding Techniques to Select Designs After Robust Design Optimization, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 619--632, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
  1864. J. Ciurana, G. Arias and T. Ozel. Neural Network Modeling and Particle Swarm Optimization (PSO) of Process Parameters in Pulsed Laser Micromachining of Hardened AISI H13 Steel, Materials And Manufacturing Processes, Vol. 24, No. 3, pp. 358-368, 2009.
  1865. Alberto Clarich, Valentino Pediroda, Carlo Poloni and Jacques Périaux. A Fast and Robust Adaptive Methodology for Design Under Uncertainties Based on DACE Response Surface and Game Theory, in William Annicchiarico, Jacques Périaux, Miguel Cerrolaza and Gabriel Winter (editors), Evolutionary Algorithms and Intelligent Tools in Engineering Optimization, pp. 75--91, WIT Press, CIMNE Barcelona, Southampton, Boston, 2005, ISBN 1-84564-038-1.
  1866. Robert D. Clark and Edmond Abrahamian. Using a staged multi-objective optimization approach to find selective pharmacophore models, Journal of Computer-Aided Molecular Design, Vol. 23, No. 11, pp. 765--771, November, 2009.
  1867. T. Clarke and R. Davies. Robust eigenstructure assignment using the genetic algorithm and constrained state feedback. Proceedings of the Institution of Mechanical Engineers Part I--Journal of Systems and Control Engineering, 211(1):53-61, February 1997.
  1868. Joshua Clarke and James T. McLeskey Jr.. Multi-Objective Particle Swarm Optimization of Binary Geothermal Power Plants, Applied Energy, Vol. 138, pp. 302--314, January 15, 2015 (abstract).
  1869. Daniela Barreiro Claro. SPOC - Un Canevas Pour la Composition Automatique de Services Web Dédiés à la Réalisation de Devis, PhD thesis, Laboratoire d'Étude et de Recherche en Informatique d'Angers, Université d'Angers, France, October 2006.
  1870. João Claro and Jorge Pinho de Sousa. A multiobjective metaheuristic for a mean-risk multistage capacity investment problem, Journal of Heuristics, Vol. 16, No. 1, pp. 85--115, February, 2010.
  1871. Joao Claro and Jorge Pinho de Sousa. A multiobjective metaheuristic for a mean-risk static stochastic knapsack problem, Computational Optimization And Applications, Vol. 46, No. 3, pp. 427--450, July, 2010.
  1872. Joao Claro and Jorge Pinho de Sousa. A multiobjective metaheuristic for a mean-risk multistage capacity investment problem with process flexibility, Computers & Operations Research, Vol. 39, No. 4, pp. 838--849, April 2012.
  1873. John Morris Clayton. Incorporation of Environmental, Economic and Product Quality Criteria in Multiobjective Engineering Design of Cl2/ClO2 Softwood Kraft Bleaching Processes, PhD thesis, Georgia Institute of Technology, April 2003 (abstract).
  1874. M. Clergue and P. Collard. Dual Genetic Algorithms and Pareto Optimization. In George D. Smith, Nigel C. Steele and Rudolf F. Albrecht, editors, Artificial Neural Nets and Genetic Algorithms, pages 188-197, Norwich, UK, April 1997. Springer-Verlag.
  1875. M. Clergue, P. Collard and A. Gaspar. DGA and Pareto Elitism : Improving Pareto Optimization. In Second International ICSC Symposium on Soft Computing (SOCO'97) at the Ecole pour les Etudes et la Recherche en Informatique et Electronique (EERIE), Nımes, France, September 1997.
  1876. Lauren M. Clevenger and William E. Hart. Convergence Examples of a Filter-Based Evolutionary Algorithm, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 666--677, Seattle, Washington, USA, June 2004.
  1877. L. Clevenger, L. Ferguson and W. E. Hart. A filter-based evolutionary algorithm for constrained optimization, Evolutionary Computation, Vol. 13, No. 3, pp. 329--352, Fall 2015 (abstract).
  1878. Joao C. N. Climaco, M. Eugenia Captivo and Marta M. B. Pascoal. On the bicriterion - minimal cost/minimal label - spanning tree problem, European Journal of Operational Research, Vol. 204, No. 2, pp. 199--205, July 16, 2010.
  1879. B. Cobacho, R. Caballero, M. Gonzalez and J. Molina. Planning federal public investment in Mexico using multiobjective decision making, Journal Of The Operational Research Society, Vol. 61, No. 9, pp. 1328-1339, September, 2010. .
  1880. Corie L. Cobb, Ying Zhang, Alice M. Agogino and Jennifer Mangold. Knowledge-Based Evolutionary Linkage in MEMS Design Synthesis, in Ying-ping Chen and Meng-Hiot Lim (editors), Linkage in Evolutionary Computation, pp. 461--483, Springer-Verlag, Berlin Heidelberg, 2008.
  1881. Carlos Cobos, Claudia Montealegre, María-Fernanda Mejía, Martha Mendoza and Elizabeth León. Web document clustering based on a new niching Memetic Algorithm, Term-Document Matrix and Bayesian Information Criterion, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 4629--4636, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  1882. Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pahwa and Surasish Nag. A Pareto Archive Evolutionary Strategy Based Radial Basis Function Neural Network Training Algorithm for Failure Rate Prediction in Overhead Feeders, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 2127--2132, Vol. 2, ACM Press, New York, USA, June 2005.
  1883. Jeffery K. Cochran, Shwu-Min Horng and John W. Fowler. A Multi-Population Genetic Algorithm to Solve Multi-Objective Scheduling Problems for Parallel Machines, Computers and Operations Research, Vol. 30, No. 7, pp. 1087--1102, 2003.
  1884. M. Cococcioni, P. Ducange, B. Lazzerini, F. Marcelloni and M. Vecchio. Identification of Mamdani Fuzzy Systems based on a Multi-Objective Genetic Algorithm, in AI*IA 2005 Workshop on Evolutionary Computation, vol. 1, pp. 1-10, Milan, Italy, 2005.
  1885. M. Cococcioni, P. Guasqui, B. Lazzerini, F. Marcelloni. Identification of Takagi-Sugeno Fuzzy Systems based on Multi-Objective Genetic Algorithms, in International Workshop on Fuzzy Logic and Applications, Springer-Verlag, Lecture Notes on Artificial Intelligence Vol. 3849, pp. 172--177, 2005.
  1886. M. Cococcioni, P. Ducange, B. Lazzerini and F.Marcelloni. A comparison of multi-objective evolutionary algorithms in fuzzy Rule-Based systems generation, in Proceedings of the North American Fuzzy Information Processing Society (NAFIPS'06), Montreal, Canada, June 2006.
  1887. Marco Cococcioni, Pietro Ducange, Beatrice Lazzerini and Francesco Marcelloni. A New Multi-Objective Evolutionary Algorithm Based on Convex Hull for Binary Classifier Optimization, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3150--3156, IEEE Press, Singapore, September 2007.
  1888. Marco Cococcioni, Pietro Ducange, Beatrice Lazzerini and Francesco Marcelloni. A Pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems, Soft Computing, Vol. 11, No. 11, pp. 1013--1031, September, 2007.
  1889. M. Cococcioni, G. Corsini, B. Lazzerini and F. Marcelloni. Solving the ocean color inverse problem by using evolutionary multi-objective optimization of neuro-fuzzy systems, International Journal of Knowledge-Based and Intelligent Engineering Systems, Vol. 12, No. 5-6, pp. 39--55, 2008.
  1890. Marco Cococcioni, Beatrice Lazzerini and Francesco Marcelloni. Towards Efficient Multi-objective Genetic Takagi-Sugeno Fuzzy Systems for High Dimensional Problems. in Yoel Tenne and Chi-Keong Goh, (editors), Computational Intelligence in Expensive Optimization Problems, pp. 397--422, Springer, Berlin, Germany, 2010. ISBN 978-3-642-10700-9.
  1891. Marco Cococcioni, Beatrice Lazzerini and Francesco Marcelloni. On reducing computational overhead in multi-objective genetic Takagi-Sugeno fuzzy systems, Applied Soft Computing, Vol. 11, No. 1, pp. 675--688, January, 2011.
  1892. Rajan Filomeno Coelho, Hugues Bersini and Philippe Bouillard. Parametrical Mechanical Design with Constraints and Preferences: Application to a Purge Valve, Computer Methods in Applied Mechanics and Engineering, Vol. 192, Nos. 39-40, pp. 4355--4378, September 2003 (abstract).
  1893. Rajan Filomeno Coelho. Multicriteria Optimization with Expert Rules for Mechanical Design, PhD thesis, Faculté des Sciences Appliquées, Université Libre de Bruxelles, Belgium, 2004 (abstract).
  1894. Rajan Filomeno Coelho and Philippe Bouillard. PAMUC II for Multicriteria Optimization of Mechanical Designs with Expert Rules, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 17--22, Portland, Oregon, USA, June 2004 (abstract).
  1895. R. Filomeno Coelho, PH. Bouillard and H. Bersini. PAMUC: A New Method to Handle Constraints and Multiobjectivity in Evolutionary Algorithms, in Tadeusz Burczyński and Andrzej Osyczka (editors), IUTAM Symposium on Evolutionary Methods in Mechanics, pp. 91--100, Kluwer Academic Publishers, Cracow, Poland, 2004, ISBN 1-4020-2266-2 (abstract).
  1896. R.F. Coelho and P. Bouillard. A Multicriteria Evolutionary Algorithm for Mechanical Design Optimization with Expert Rules, International Journal for Numerical Methods in Engineering, Vol. 62, No. 4, pp. 516--536, January 28, 2005 (abstract).
  1897. Guilherme P. Coelho and Fernando Von Zuben. Omni-aiNet: An Immune-inspired Approach for Omni Optimization, in Hughes Bersini and Jorge Carneiro (editors), Artificial Immune Systems, 5th International Conference, ICARIS 2006, Proceedings, pp. 294--308, Springer-Verlag, Lecture Notes in Computer Science Vol. 4163, Oeiras, Portugal, September 2006 (abstract).
  1898. Guilherme P. Coelho, Fernando J. Von Zuben and Ana Estela A. da Silva. A Multiobjective Approach to Phylogenetic Trees: Selecting the Most Promising Solutions from the Pareto Front, in Seventh International Conference on Intelligent Systems Design and Applications, ISDA 2007, pp. 837--842, IEEE Computer Society Press, Rio de Janeiro, Brazil, 20-24 October 2007, ISBN 978-0-7695-2976-9 (abstract).
  1899. Guilherme P. Coelho, Ana Estela A. da Silva and Fernando J. Von Zuben. Evolving Phylogenetic Trees: A Multiobjective Approach, in Marie-France Sagot and Maria Emilia M.T. Walter (Editors), Second Brazilian Symposium on Bioinformatics, BSB 2007, pp. 113--125, Springer. Lecture Notes in Computer Science Vol. 4643, Angra dos Reis, Brazil, August 29-31, 2007, ISBN 978-3-540-73730-8 (abstract).
  1900. Guilherme Palermo Coelho, Fabrício Olivetti de França and Fernando J. Von Zuben. A Multi-Objective Multipopulation Approach for Biclustering, in Peter J. Bentley, Doheon Lee and Sungwon Jung (editors), Artificial Immune Systems, 7th International Conference, ICARIS 2008, pp. 71--82, Springer, Lecture Notes in Computer Science Vol. 5132, Phuket, Thailand, August 10-13, 2008 (abstract).
  1901. Leandro dos Santos Coelho and Piergiorgio Alotto. Multiobjective Electromagnetic Optimization Based on a Nondominated Sorting Genetic Approach with a Chaotic Crossover Operator, IEEE Transactions on Magnetics, Vol. 44, No. 6, pp. 1078--1081, June 2008 (abstract).
  1902. Leandro dos Santos Coelho and Piergiorgio Alotto. Loney's Solenoid Design Using an Artificial Immune Network with Local Search Based on the Simplex Method, IEEE Transactions on Magnetics, Vol. 44, No. 6, pp. 1070--1073, June 2008 (abstract).
  1903. Guilherme Palermo Coelho, Fabrício Olivetti de França and Fernando J. Von Zuben. Improving a Multi-Objective Multipopulation Artificial Immune Network for Biclustering, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2748--2755, IEEE Press, Trondheim, Norway, May, 2009 (abstract).
  1904. Leandro dos Santos Coelho, Helon Vicente Hultmann Ayala, Nadia Nedjah and Luiza de Macedo Mourelle. Multiobjective Gaussian Particle Swarm Approach Applied to Multi-loop PI Controller Tuning of a Quadruple-Tank System. in Nadia Nedjah, Leandro dos Santos Coelho, and Luiza de Macedo de Mourelle, (editors), Multi-Objective Swarm Intelligent Systems. Theory & Experiences, chapter 1, pp. 1--16, Springer, Studies in Computational Intelligence, Vol. 261, Berlin, Germany, 2010, ISBN 978-3-642-05164-7 (abstract).
  1905. Leandro dos Santos Coelho, Marcelo Wicthoff Pessoa, Rodrigo Rodrigues Sumar and Antonio Augusto Rodrigues Coelho. Model-free Adaptive Control Design Using Evolutionary-neural Compensator, Expert Systems with Applications, Vol. 37, No. 1, pp. 499--508, January 2010 (abstract).
  1906. Guilherme P. Coelho, Ana Estela A. da Silva and Fernando J. Von Zuben. An Immune-inspired Multi-objective Approach to the Reconstruction of Phylogenetic Trees, Neural Computing & Applications, Vol. 19, No. 8, pp. 1103--1132, November 2010 (abstract).
  1907. Leandro dos Santos Coelho, Helon Vicente Hultmann Ayala and Piergiorgio Alotto. A Multiobjective Gaussian Particle Swarm Approach Applied to Electromagnetic Optimization, IEEE Transactions on Magnetics, Vol. 46, No. 8, pp. 3289--3292, August 2010 (abstract).
  1908. Leandro dos Santos Coelho, Leandro Zavarez Barbosa and Luiz Lebensztajn. Multiobjective Particle Swarm Approach for the Design of a Brushless DC Wheel Motor, IEEE Transactions on Magnetics, Vol. 46, No. 8, pp. 2994--2997, August 2010 (abstract).
  1909. Guilherme Palermo Coelho and Fernando J. Von Zuben. A Concentration-Based Artificial Immune Network for Multi-objective Optimization, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 343--357, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011 (abstract).
  1910. Rajan Filomeno Coelho, Jeremy Lebon, Philippe Bouillard. Hierarchical Stochastic Metamodels Based on Moving Least Squares and Polynomial Chaos Expansion, Structural and Multidisciplinary Optimization, Vol. 43, No. 5, pp. 707--729, May 2011 (abstract).
  1911. Rajan Filomeno Coelho and Philippe Bouillard. Multi-Objective Reliability-Based Optimization with Stochastic Metamodels, Evolutionary Computation, Vol. 19, No. 4, pp. 525--560, Winter 2011 (abstract).
  1912. Andre L.V. Coelho, Everlandio Fernandes and Katti Faceli. Multi-objective Design of Hierarchical Consensus Functions for Clustering Ensembles Via Genetic Programming, Decision Support Systems, Vol. 51, No. 4, pp. 794--809, November 2011 (abstract).
  1913. Leandro dos S. Coelho, Fabio A. Guerra and Jean V. Leite. Multiobjective Exponential Particle Swarm Optimization Approach Applied to Hysteresis Parameters Estimation, IEEE Transactions on Magnetics, Vol. 48, No. 2, pp. 283--286, February 2012 (abstract).
  1914. Dayanne G. Coelho, Elizabeth F. Wanner, Sergio R. Souza, Eduardo G. Carrano and Robin C. Purshouse. A Multiobjective Evolutionary Algorithm for the 2D Guillotine Strip Packing Problem, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1012--1019, IEEE Press, Brisbane, Australia, June 10-15, 2012 (abstract).
  1915. Rajan Filomeno Coelho. Co-Evolutionary Optimization for Multi-Objective Design Under Uncertainty, Journal of Mechanical Design, Vol. 135, No. 2, Article Number: 021006, February 2013 (abstract).
  1916. Leandro dos S. Coelho, Viviana C. Mariani, Fabio A. Guerra, Mauricio V. F. da Luz and Jean V. Leite. Multiobjective Optimization of Transformer Design Using a Chaotic Evolutionary Approach, IEEE Transactions on Magnetics, Vol. 50, No. 2, Article Number: 7016504 , February 2014 (abstract).
  1917. Rajan Filomeno Coelho. Probabilistic Dominance in Multiobjective Reliability-Based Optimization: Theory and Implementation, IEEE Transactions on Evolutionary Computation, Vol. 19, No. 2, pp. 214--224, April 2015 (abstract).
  1918. Rajan Filomenho Coelho, Manuel Herrera, Manyu Xiao and Weihong Zhang. On-line Metamodel-Assisted Optimization with Mixed Variables, in Jorge Magalhães-Mendes and David Greiner (Editors), Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management, Chapter 1, pp. 1--15, Springer, Switzerland, 2015, ISBN 978-3-39-20405-5 (abstract).
  1919. Rajan Filomeno Coelho. Bi-Objective Hypervolume-Based Pareto Optimization a Gradient-Based Approach as an Alternative to Evolutionary Algorithms, Optimization Letters, Vol. 9, No. 6, pp. 1091--1103, August 2015 (abstract).
  1920. Vitor N. Coelho, Thays A. Oliveira, Igor M. Coelho, Bruno N. Coelho, Peter J. Fleming, Frederico G. Guimaraes, Helena Ramalhinho, Marcone J. F. Souza, El-Ghazali Talbi and Thibaut Lust. Generic Pareto Local Search Metaheuristic for Optimization of Targeted Offers in a Bi-Objective Direct Marketing Campaign, Computers & Operations Research, Vol. 78, pp. 578--587, February 2017 (abstract).
  1921. Carlos A. Coello Coello, Alan D. Christiansen and A. Hernández Aguirre. Multiobjective Design Optimization of Counterweight Balancing of a Robot Arm using Genetic Algorithms, In Proceedings of the Seventh International Conference on Tools with Artificial Intelligence, pages 20--23, Herndon, Virginia, U.S.A., November 1995. IEEE Computer Society Press (abstract).
  1922. Carlos A. Coello Coello and Alan D. Christiansen. An Approach to Multiobjective Optimization Using Genetic Algorithms, In Cihan H. Dagli, Metin Akay, C. L. Philip Chen, Benito R. Fernández and Joydeep Ghosh, editors, Intelligent Engineering Systems Through Artificial Neural Networks. Volume 5. Fuzzy Logic and Evolutionary Programming, pages 411--416, St. Louis, Missouri, USA, November 1995. ASME Press (abstract).
  1923. Carlos A. Coello Coello, Alan D. Christiansen and Arturo Hernández Aguirre. Use of Genetic Algorithms for Multiobjective Optimization of Counterweight Balancing of Robot Arms, In Jacob J. G. Chen, editor, EXPERSYS-95 Expert Systems Applications and Artificial Intelligence, pages 243-248, San Francisco, California, November 1995. I.I.T.T. International, Technology Transfer Series (abstract).
  1924. Carlos Artemio Coello Coello. An Empirical Study of Evolutionary Techniques for Multiobjective Optimization in Engineering Design. PhD thesis, Department of Computer Science, Tulane University, New Orleans, Louisiana, USA, April 1996 (abstract).
  1925. Carlos A. Coello Coello, Alan D. Christiansen and Arturo Hernández Aguirre. Using a New GA-Based Multiobjective Optimization Technique for the Design of Robot Arms, Robotica, Vol. 16, No. 4, pp. 401--414, July-August 1998 (abstract).
  1926. Carlos A. Coello Coello and Alan D. Christiansen. Two New GA-based methods for multiobjective optimization, Civil Engineering Systems, Vol. 15, No. 3, pp. 207--243, 1998 (abstract).
  1927. Carlos A. Coello Coello. An Updated Survey of GA-Based Multiobjective Optimization Techniques, Technical Report Lania-RD-98-08, Laboratorio Nacional de Informática Avanzada (LANIA), Xalapa, Veracruz, México, December 1998 (abstract).
  1928. Carlos A. Coello Coello. Using the Min-Max Method to solve Multiobjective Optimization Problems with Genetic Algorithms. In IBERAMIA'98. Lecture Notes in Computer Science, pp. 303--314, Lisbon, Portugal, October 1998. Springer-Verlag (abstract).
  1929. Carlos A. Coello Coello. A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques, Knowledge and Information Systems. An International Journal, Vol. 1, No. 3, pp. 269--308, August 1999 (abstract).
  1930. Carlos A. Coello Coello and Alan D. Christiansen. MOSES: A Multiobjective Optimization Tool for Engineering Design, Engineering Optimization, Vol. 31, No. 3, pp. 337--368, 1999 (abstract).
  1931. Carlos A. Coello Coello. An Updated Survey of Evolutionary Multiobjective Optimization Techniques : State of the Art and Future Trends, In 1999 Congress on Evolutionary Computation, pp. 3--13, Vol. 1, Washington, D.C., July 1999. IEEE Service Center (abstract).
  1932. Carlos A. Coello Coello. Constraint handling through a multiobjective optimization technique, In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pp. 117--118, Orlando, Florida, July 1999 (abstract).
  1933. Carlos A. Coello Coello. Treating Constraints as Objectives for Single-Objective Evolutionary Optimization, Engineering Optimization, Vol. 32, No. 3, pp. 275--308, 2000 (abstract).
  1934. Carlos A. Coello Coello and Alan D. Christiansen. Multiobjective optimization of trusses using genetic algorithms, Computers and Structures, Vol. 75, No. 6, pp. 647--660, May 2000 (abstract).
  1935. Carlos A. Coello Coello. Handling Preferences in Evolutionary Multiobjective Optimization: A Survey, In 2000 IEEE Congress on Evolutionary Computation, volume 1, pp. 30--37, Piscataway, New Jersey, USA, July 2000. IEEE Service Center (abstract).
  1936. Carlos A. Coello Coello. Constraint-handling using an evolutionary multiobjective optimization technique,Civil Engineering and Environmental Systems, Vol. 17, pp. 319--346, 2000 (abstract).
  1937. Carlos A. Coello Coello, Arturo Hernández Aguirre and Bill P. Buckles. Evolutionary Multiobjective Design of Combinational Logic Circuits, In Jason Lohn, Adrian Stoica, Didier Keymeulen and Silvano Colombano, editors, Proceedings of the Second NASA/DoD Workshop on Evolvable Hardware, pages 161--170, Los Alamitos, California, July 2000. IEEE Computer Society (abstract).
  1938. Carlos A. Coello Coello. An Updated Survey of GA-Based Multiobjective Optimization Techniques. ACM Computing Surveys, Vol. 32, No. 2, pp. 109--143, June 2000 (abstract).
  1939. Carlos A. Coello Coello and Gregorio Toscano. A Micro-Genetic Algorithm for Multiobjective Optimization. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pp. 126--140. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 (abstract).
  1940. Carlos A. Coello Coello. A Short Tutorial on Evolutionary Multiobjective Optimization. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 21--40. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 (abstract).
  1941. Carlos A. Coello Coello and Gregorio Toscano Pulido.Multiobjective Optimization using a Micro-Genetic Algorithm, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 274--282, Morgan Kaufmann Publishers, San Francisco, California, July 2001 (abstract).
  1942. Carlos A. Coello Coello, David A. Van Veldhuizen and Gary B. Lamont, Evolutionary Algorithms for Solving Multi-Objective Problems, Kluwer Academic Publishers, New York, May 2002, ISBN 0-3064-6762-3 (abstract).
  1943. Carlos A. Coello Coello. Evolutionary Multi-Objective Optimization: A Critical Review, in Ruhul Sarker, Masoud Mohammadian and Xin Yao (eds), Evolutionary Optimization, pp. 117--146, Kluwer Academic Publishers, New York, February 2002, ISBN 0-7923-7654-4 (abstract).
  1944. Carlos A. Coello Coello and Maximino Salazar Lechuga. MOPSO: A Proposal for Multiple Objective Particle Swarm Optimization, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1051--1056, IEEE Service Center, Piscataway, New Jersey, May 2002 (abstract).
  1945. Carlos A. Coello Coello and Carlos E. Mariano Romero. Evolutionary Algorithms and Multiple Objective Optimization, in Matthias Ehrgott and Xavier Gandibleux (editors), Multiple Criteria Optimization: State of the Art Annotated Bibliographic Surveys, pp. 277--331, Kluwer Academic Publishers, Boston, 2002 (abstract).
  1946. Carlos A. Coello Coello and Nareli Cruz Cortés. An Approach to Solve Multiobjective Optimization Problems Based on an Artificial Immune System, in Jonathan Timmis and Peter J. Bentley (editors), First International Conference on Artificial Immune Systems (ICARIS'2002), pp. 212--221, University of Kent at Canterbury, Inglaterra, ISBN 1-902671-32-5, September 2002 (abstract).
  1947. Carlos A. Coello Coello and Arturo Hernández Aguirre. Design of Combinational Logic Circuits through an Evolutionary Multiobjective Optimization Approach, Artificial Intelligence for Engineering, Design, Analysis and Manufacture, Cambridge University Press, Vol. 16, No. 1, pp. 39--53, January 2002 (abstract).
  1948. Carlos A. Coello Coello and Ricardo Landa Becerra. Evolutionary Multiobjective Optimization using a Cultural Algorithm, in 2003 IEEE Swarm Intelligence Symposium Proceedings, IEEE Service Center, pp. 6--13, Indianapolis, Indiana, USA, April 2003 (abstract).
  1949. C. A. Coello Coello, G. Toscano Pulido and A. Hernández Aguirre. Multi-Objective Evolutionary Algorithms for Structural Optimization, in K.J. Bathe (editor), Computational Fluid and Solid Mechanics 2003. Proceedings of the Second MIT Conference on Computational Fluid and Solid Mechanics, Vol. 2, pp. 2244--2248, Elsevier, The Netherlands, June 2003 (abstract).
  1950. Carlos A. Coello Coello and Margarita Reyes Sierra. A Coevolutionary Multi-Objective Evolutionary Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 1, pp. 482--489, IEEE Press, Canberra, Australia, December 2003 (abstract).
  1951. Carlos A. Coello Coello.Evolutionary Multiobjective Optimization: Current and Future Challenges, in Jose Benitez, Oscar Cordon, Frank Hoffmann and Rajkumar Roy (editors), Advances in Soft Computing---Engineering, Design and Manufacturing, pp. 243--256, Springer-Verlag, ISBN 1-85233-755-9, September 2003 (abstract).
  1952. Carlos A. Coello Coello, Gregorio Toscano Pulido and Maximino Salazar Lechuga. Handling Multiple Objectives With Particle Swarm Optimization, IEEE Transactions on Evolutionary Computation, Vol. 8, No. 3, pp. 256--279, June 2004 (abstract).
  1953. Carlos A. Coello Coello and Margarita Reyes Sierra. A Study of the Parallelization of a Coevolutionary Multi-Objective Evolutionary Algorithm, in Raúl Monroy, Gustavo Arroyo-Figueroa, Luis Enrique Sucar and Humberto Sossa (eds), Proceedings of the Third Mexican International Conference on Artificial Intelligence (MICAI'2004), pp. 688--697, Springer Verlag, Lecture Notes in Artificial Intelligence Vol. 2972, April 2004 (abstract).
  1954. Carlos A. Coello Coello and Gary B. Lamont (editors). Applications of Multi-Objective Evolutionary Algorithms, World Scientific, Singapore, 2004, ISBN 981-256-106-4 (abstract).
  1955. Carlos A. Coello Coello and Gary B. Lamont. An Introduction to Multi-Objective Evolutionary Algorithms and Their Applications, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 1--28, World Scientific, Singapore, 2004 (abstract).
  1956. Carlos A. Coello Coello. Recent Trends in Evolutionary Multiobjective Optimization, in Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors), Evolutionary Multiobjective Optimization: Theoretical Advances And Applications, pp. 7--32, Springer-Verlag, London, ISBN 1-85233-787-7, 2005 (abstract).
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  2174. Shubhabrata Datta, Frank Pettersson, Subhas Ganguly, Henrik Saxén and Niruopam Chakraborti. Designing High Strength Multi-phase Steel for Improved Strength-Ductility Balance Using Neural Networks and Multi-objective Genetic Algorithms, ISIJ International, Vol. 47, No. 8, pp. 1195--1203, 2007.
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  2183. Rituparna Datta. Constrained Engineering Design Optimization Using a Hybrid Bi-Objective Evolutionary-Classical Methodology, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 633--637, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  2184. Rituparna Datta and Kalyanmoy Deb. A Bi-objective Based Hybrid Evolutionary-Classical Algorithm for Handling Equality Constraints, in Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner and Salvatore Grecco (editors), Evolutionary Multi-Criterion Optimization, 6th International Conference, EMO 2011, pp. 313--327, Springer. Lecture Notes in Computer Science Vol. 6576, Ouro Preto, Brazil, April 2011.
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  2189. Rituparna Datta and Kalyanmoy Deb. An adaptive normalization based constrained handling methodology with hybrid bi-objective and penalty function approach, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 3159--3166, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  2190. Rituparna Datta, Kalyanmoy Deb, M. Fernanda P. Costa and A. Gaspar-Cunha. An Evolutionary Algorithm based Pattern Search Approach for Constrained Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1355--1362, IEEE Press, Cancún, México, 20-23 June, 2013, ISBN 978-1-4799-0454-9.
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  2194. Muhamad Zalani Daud, Azah Mohamed, Ahmad Asrul Ibrahim and M. A. Hannan. Heuristic optimization of state-of-charge feedback controller parameters for output power dispatch of hybrid photovoltaic/battery energy storage system, Measurement, Vol. 49, pp. 15--25, March 2014.
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  2245. B. De Smedt and G.C.E. Gielen. WATSON: Design space boundary exploration and model generation for analog and RF IC design, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 22, No. 2, pp. 213--224, February 2003.
  2246. 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.
  2247. Benemar Alencar de Souza and Angelo Marcio Formiga de Almeida. Multiobjective Optimization and Fuzzy Logic Applied to Planning of the Volt/Var Problem in Distributions Systems, IEEE Transactions on Power Systems, Vol. 25, No. 3, pp. 1274-1281, August 2010.
  2248. 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).
  2249. Kalyanmoy Deb and Amarendra Kumar. Real-coded Genetic Algorithms with Simulated Binary Crossover: Studies on Multimodal and Multiobjective Problems. Complex Systems, 9:431-454, 1995.
  2250. Kalyanmoy Deb. Multi-Objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems, Technical Report CI-49/98, Dortmund: Department of Computer Science/LS11, University of Dortmund, Germany, 1998.
  2251. Kalyanmoy Deb. Evolutionary Algorithms for Multi-Criterion Optimization in Engineering Design, In Kaisa Miettinen, Marko M. Mäkelä, Pekka Neittaanmäki and Jacques Periaux, editors, Evolutionary Algorithms in Engineering and Computer Science, chapter 8, pages 135-161. John Wiley & Sons, Ltd, Chichester, UK, 1999.
  2252. Kalyanmoy Deb. Non-linear goal programming using Multi-Objective Genetic Algorithms, Technical Report CI-60/98, Dortmund: Department of Computer Science/LS11, University of Dortmund, Germany, 1999.
  2253. 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.
  2254. Kalyanmoy Deb. Multi-Objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems, Evolutionary Computation, 7(3):205-230, Fall 1999.
  2255. Kalyanmoy Deb. Multi-Objective Evolutionary Algorithms: Introducing Bias Among Pareto-Optimal Solutions KanGAL report 99002, Indian Institute of Technology, Kanpur, India, 1999.
  2256. K. Deb. An introduction to genetic algorithms, Sadhana-Academy Proceedings In Engineering Sciences, Vol. 24, pp. 293-315, August-October, 1999.
  2257. Kalyanmoy Deb, Samir Agrawal, Amrit Pratap and T. Meyarivan. A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II, KanGAL report 200001, Indian Institute of Technology, Kanpur, India, 2000.
  2258. 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.
  2259. Kalyanmoy Deb and T. Meyarivan. Constrained Test Problems for Multi-Objective Evolutionary Optimization, KanGAL report 200005, Indian Institute of Technology, Kanpur, India, 2000
  2260. Kalyanmoy Deb and Tushar Goyal. Controlled Elitist Non-dominated Sorting Genetic Algorithms for Better Convergence, KanGAL report 200004, Indian Institute of Technology, Kanpur, India, 2000
  2261. Kalyanmoy Deb and Tushar Goyal. Multi-Objective Evolutionary Algorithms for Engineering Shape Design, KanGAL report 200003, Indian Institute of Technology, Kanpur, India, 2000
  2262. Kalyanmoy Deb, A. Patrap and S. Moitra. Mechanical Component Design for multi-objective using Elitist non-dominated sorting GA, KanGAL report 200002, Indian Institute of Technology, Kanpur, India, 2000
  2263. 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
  2264. 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
  2265. Kalyanmoy Deb and Tushar Goel. A Hybrid Multi-Objective Evolutionary Approach to Engineering Shape Design. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 385-399. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001
  2266. Kalyanmoy Deb and Tushar Goel. Controlled Elitist Non-dominated Sorting Genetic Algorithms for Better Convergence. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 67-81. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.
  2267. Kalyanmoy Deb, Amrit Pratap and T. Meyarivan. Constrained Test Problems for Multi-objective Evolutionary Optimization. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 284-298. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.
  2268. Kalyanmoy Deb, Lothar Thiele, Marco Laumanns and Eckart Zitzler. Scalable Test Problems for Evolutionary Multi-Objective Optimization, TIK-Report No.112, Computer Engineering and Networks Laboratory (TIK), Swiss Federal Institute of Technology (ETH) Zurich, July, 2001
  2269. Kalyanmoy Deb. Nonlinear goal programming using multi-objective genetic algorithms, Journal of the Operational Research Society, Vol. 52, No. 3, pp. 291--302, 2001
  2270. Kalyanmoy Deb. Multi-Objective Optimization using Evolutionary Algorithms, John Wiley & Sons, Chichester, UK, 2001, ISBN 0-471-87339-X.
  2271. Kalyanmoy Deb, Amrit Pratap, Sameer Agarwal and T. Meyarivan. A Fast and Elitist Multiobjective Genetic Algorithm: NSGA--II, IEEE Transactions on Evolutionary Computation, Vol. 6, No. 2, pp. 182--197, April 2002.
  2272. 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.
  2273. 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.
  2274. Kalyanmoy Deb and Tushar Goel. Multi-Objective Evolutionary Algorithms for Engineering Shape Design, in Ruhul Sarker, Masoud Mohammadian and Xin Yao (eds), Evolutionary Optimization, pp. 146--175, Kluwer Academic Publishers, New York, February 2002, ISBN 0-7923-7654-4.
  2275. 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.
  2276. 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.
  2277. Kalyanmoy Deb. Multi-objective Evolutionary Algorithms: Introducing Bias Among Pareto-optimal Solutions, in Ashish Ghosh and Shigeyoshi Tsutsui (editors), Advances in Evolutionary Computing. Theory and Applications, pp. 263--292, Springer, Berlin, 2003, ISBN 3-540-43330-9 .
  2278. Kalyanmoy Deb. Unveiling innovative design principles by means of multiple conflicting objectives, Engineering Optimization, Vol. 35, No. 5, pp. 445--470, October 2003.
  2279. Kalyanmoy Deb and Sachin Kain. Multi-Speed Gearbox Design Using Multi-Objective Evolutionary Algorithms, Journal of Mechanical Design, Vol. 125, No. 3, pp. 609--619, September 2003.
  2280. 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.
  2281. 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.
  2282. Kalyanmoy Deb. An Ideal Evolutionary Multi-Objective Optimization Procedure, IPSJ Transactions on Mathematical Modeling and Its Applications, Vol. 45, No. SIG 2 (TOM 10), pp. 1--11, February 2004.
  2283. K. Deb, K. Mitra, R. Dewri and S. Majumdar. Towards a Better Understanding of the Epoxy Polymerization Process Using Multi-objective Evolutionary Computation, Chemical Engineering Science, Vol. 59, No. 20, pp. 4261--4277, 2004.
  2284. Kalyanmoy Deb and Sachin Jain. Evaluating Evolutionary Multi-Objective Optimization Algorithms using Running Performance Metrics, in Kay Chen Tan, Meng Hiot Lim, Xin Yao and Lipo Wang (editors), Recent Advances in Simulated Evolution and Learning, pp. 307--326, World Scientific, Singapore, 2004.
  2285. K. Deb, P. Jain, NK. Gupta and HK. Maji. Multiobjective placement of electronic components using evolutionary algorithms, IEEE Transactions on Components and Packaging Technologies, Vol. 27, No. 3, pp. 480--492, September, 2004.
  2286. 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.
  2287. 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.
  2288. Kalyanmoy Deb and Santosh Tiwari. Multi-objective optimization of a leg mechanism using genetic algorithms, Engineering Optimization, Vol. 37, No. 4, pp. 325--350, June 2005.
  2289. Kalyanmoy Deb, Lothar Thiele, Marco Laumanns and Eckart Zitzler. Scalable Test Problems for Evolutionary Multiobjective Optimization, in Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors), Evolutionary Multiobjective Optimization. Theoretical Advances and Applications, pp. 105--145, Springer, USA, 2005.
  2290. Kalyanmoy Deb, Manikanth Mohan and Shikhar Mishra. Evaluating the epsilon-Domination Based Multi-Objective Evolutionary Algorithm for a Quick Computation of Pareto-Optimal Solutions, Evolutionary Computation, Vol. 13, No. 4, pp. 501--525, Winter 2005.
  2291. Kalyanmoy Deb. Muti-Objective Optimization, in Edmund K. Burke and Graham Kendall (editors), Search Methodologies. Introductory Tutorials in Optimization and Decision Support Techniques, pp. 273--316, Springer, USA, 2005, ISBN 0-387-23406-8.
  2292. 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 .
  2293. 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 .
  2294. Kalyanmoy Deb, J. Sundar, Udaya Bhaskara Rao N. and Shamik Chaudhuri. Reference Point Based Multi-Objective Optimization Using Evolutionary Algorithms, International Journal of Computational Intelligence Research, Vol. 2, No. 3, pp. 273--286, 2006.
  2295. 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 .
  2296. 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 .
  2297. 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.
  2298. Kalyanmoy Deb and Himanshu Gupta. Introducing robustness in multi-objective optimization, Evolutionary Computation, Vol. 14, No. 4, pp. 463--494, Winter 2006.
  2299. Kalyanmoy Deb. Evolutionary Multi-Objective Optimization Without Additional Parameters, in Fernando G. Lobo, Cláudio F. Lima and Zbigniew Michalewicz (editors), Parameter Setting in Evolutionary Algorithms, pp. 241--257, Springer-Verlag, Berlin, 2007.
  2300. Kalyanmoy Deb and Pawan K.S. Nain. An Evolutionary Multi-objective Adaptive Meta-modeling Procedure Using Artificial Neural Networks, in Shengxiang Yang, Yew Soon Ong and Yaochu Jin (editors), Evolutionary Computation in Dynamic and Uncertain Environments, pp. 297--322, Springer, 2007, ISBN 978-3-540-49772-1 .
  2301. 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.
  2302. 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.
  2303. 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.
  2304. 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.
  2305. 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.
  2306. Kalyanmoy Deb. Current trends in evolutionary multi-objective optimization, International Journal for Simulation and Multidisciplinary Design Optimization, Vol. 1, No.1, pp. 1--8, October 2007.
  2307. 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.
  2308. 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.
  2309. 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.
  2310. Kalyanmoy Deb and Aravind Srinivasan. Innovization: Discovery of Innovative Design Principles Through Multiobjective Evolutionary Optimization , in Joshua Knowles, David Corne and Kalyanmoy Deb (Editors), Multi-Objective Problem Solving from Nature: From Concepts to Applications, pp. 243--262, Springer, Berlin, 2008, ISBN 978-3-540-72963-1 .
  2311. Kalyanmoy Deb. Scope of stationary multi-objective evolutionary optimization: a case study on a hydro-thermal power dispatch problem, Journal of Global Optimization, Vol. 41, No. 4, pp. 479--515, August 2008.
  2312. Kalyanmoy Deb and Santosh Tiwar. Omni-optimizer: A generic evolutionary algorithm for single and multi-objective optimization, European Journal of Operational Research, Vol. 1853, No. 3, pp. 1062--1087, 16 March, 2008.
  2313. 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 .
  2314. 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.
  2315. 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.
  2316. Kalyanmoy Deb. Introduction to Evolutionary Multiobjective Optimization, in Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen and Roman Slowinski (editors), Multiobjective Optimization. Interactive and Evolutionary Approaches, pp. 59--96, Springer. Lecture Notes in Computer Science Vol. 5252, Berlin, Germany, 2008.
  2317. Kalyanmoy Deb and Ankur Sinha. Solving Bilevel Multi-Objective Optimization Problems Using Evolutionary Algorithms, in Matthias Ehrgott, Carlos M. Fonseca, Xavier Gandibleux, Jin-Kao Hao and Marc Sevaux (editors), Evolutionary Multi-Criterion Optimization. 5th International Conference, EMO 2009, pp. 110--124, Springer. Lecture Notes in Computer Science Vol. 5467, Nantes, France, April 2009.
  2318. Kalyanmoy Deb, Kaisa Miettinen and Deepak Sharma. A Hybrid Integrated Multi-Objective Optimization Procedure for Estimating Nadir Point, in Matthias Ehrgott, Carlos M. Fonseca, Xavier Gandibleux, Jin-Kao Hao and Marc Sevaux (editors), Evolutionary Multi-Criterion Optimization. 5th International Conference, EMO 2009, pp. 569--583, Springer. Lecture Notes in Computer Science Vol. 5467, Nantes, France, April 2009.
  2319. Kalyanmoy Deb. Evolution's Niche in Multi-Criterion Problem Solving, in Andrew Lewis, Sanaz Mostaghim and Marcus Randall (editors), Biologically-Inspired Optimisation Methods, pp. 1--21, Springer, 2009. ISBN 978-3-642-01261-7 .
  2320. Kalyanmoy Deb, Shubham Gupta, David Daum, Juergen Branke, Abhishek Kumar Mall and Dhanesh Padmanabhan. Reliability-Based Optimization Using Evolutionary Algorithms, IEEE Transactions on Evolutionary Computation, Vol. 13, No. 5, pp. 1054--1074, October 2009.
  2321. Kalyanmoy Deb and Ankur Sinha. An Evolutionary Approach for Bilevel Multi-objective Problems. in Yong Shi, Shouyang Wang, Yi Peng, Jianping Li and Yong Zeng, (editors), Cutting-Edge Research Topics on Multiple Criteria Decision Making (MCDM'2009), pp. 17--24, Springer, Communications in Computer and Information Science, Vol. 35, Heidelberg, Germany, 2009.
  2322. 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.
  2323. Kalyanmoy Deb and Kaisa Miettinen. Nadir Point Estimation Using Evolutionary Approaches: Better Accuracy and Computational Speed Through Focused Search. in Matthias Ehrgott, Boris Naujoks, Theodor J. Stewart and Jyrki Wallenius, (editors), Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, pp. 339--354, Springer, Lecture Notes in Economics and Mathematical Systems Vol. 634, Heidelberg, Germany, 2010.
  2324. 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.
  2325. Kalyanmoy Deb, Ankur Sinha, Pekka J. Korhonen and Jyrki Wallenius. An Interactive Evolutionary Multiobjective Optimization Method Based on Progressively Approximated Value Functions, IEEE Transactions on Evolutionary Computation, Vol. 14, No. 5, pp. 723-739, October, 2010.
  2326. Kalyanmoy Deb, Kaisa Miettinen and Shamik Chaudhuri. Toward an Estimation of Nadir Objective Vector Using a Hybrid of Evolutionary and Local Search Approaches, IEEE Transactions On Evolutionary Computation, Vol. 14, No. 6, pp. 821-841, December, 2010.
  2327. 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.
  2328. Kalyanmoy Deb and Shivam Gupta. Towards a Link Between Knee Solutions and Preferred Solution Methodologies, 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. 182--189, Springer-Verlag. Lecture Notes in Computer Science Vol. 6466, Chennai, India, December 16-18, 2010.
  2329. Kalyanmoy Deb. Recent Developments in Evolutionary Multi-Objective Optimization, in Matthias Ehrgott, José Rui Figueira and Salvatore Greco (editors), Trends in Multiple Criteria Decision Analysis, Chapter 12, pp. 339--368, Springer, International Series in Operations Research and Management Science, 2010, ISBN 978-1-4419-5903-4.
  2330. Kalyanmoy Deb and Ankur Sinha. An Efficient and Accurate Solution Methodology for Bilevel Multi-Objective Programming Problems Using a Hybrid Evolutionary-Local-Search Algorithm, Evolutionary Computation, Vol. 18, No. 3, pp. 403--449, Fall, 2010.
  2331. Kousik Deb and Anirban Dhar. Optimum Design of Stone Column-improved Soft Soil Using Multiobjective Optimization Technique, Computers and Geotechnics, Vol. 38, No. 1, pp. 50--57, January 2011.
  2332. 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.
  2333. Kalyanmoy Deb and Shivam Gupta. Understanding knee points in bicriteria problems and their implications as preferred solution principles, Engineering Optimization, Vol. 43, No. 11, pp. 1175--1204, 2011.
  2334. Kalyanmoy Deb. Multi-objective Optimisation Using Evolutionary Algorithms: An Introduction, in Lihui Wang, Amos H. C. Ng and Kalyanmoy Deb (editors), Multi-objective Evolutionary Optimisation for Product Design and Manufacturing, Chapter 1, pp. 3--34, Springer, London, UK, 2011, ISBN 978-0-85729-617-7.
  2335. Kalyanmoy Deb and Amit Saha. Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm, Evolutionary Computation, Vol. 20, No. 1, pp. 27--62, Spring, 2012.
  2336. 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.
  2337. Kalyanmoy Deb, Francisco Ruiz, Mariano Luque, Rahul Tewari,Jose M. Cabello and Jose M. Cejudo. On the sizing of a solar thermal electricity plant for multiple objectives using evolutionary optimization, Applied Soft Computing, Vol. 12, No. 10, pp. 3300--3311, October 2012.
  2338. 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.
  2339. Kalyanmoy Deb. Advances in Evolutionary Multi-objective Optimization, in Gordon Fraser and Jerffeson Teixeira de Souza (editors), Search Based Software Engineering, 4th International Symposium, SSBSE 2012, pp. 1--26, Springer. Lecture Notes in Computer Science Vol. 7515, Riva del Garda, Italy, September 28-30, 2012.
  2340. Kalyanmoy Deb and Rituparna Datta. A bi-objective constrained optimization algorithm using a hybrid evolutionary and penalty function approach, Engineering Optimization, Vol. 45, No. 5, pp. 503--527, May 1, 2013.
  2341. Kalyanmoy Deb. Two Approaches for Single and Multi-Objective Dynamic Optimization, in Enrique Alba, Amir Nakib and Patrick Siarry (editors), Metaheuristics for Dynamic Optimization, Chapter 6, pp. 99--116, Springer, Berlin, Germany, 2013, ISBN 978-3-642-30664-8.
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