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: February 23rd, 2010

(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. 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).

  2. 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

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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 .

  9. Hussein A. Abbass. Speeding up backpropagation using multiobjective evolutionary algorithms, Neural Computation, Vol. 15, No. 11, pp. 2705--2726, November 2003 .

  10. 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 .

  11. 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 .

  12. 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.

  13. 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.

  14. Hussein A. Abbass and Sameer Alam ad Axel Bender. MEBRA: Multiobjective Evolutionary-Based Risk Assessment, IEEE Computational Intelligence Magazine, Vol. 4, No. 3, pp. 29-36, August 2009 .

  15. 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 .

  16. 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, pages 1575-1580, University of Wales Swansea, UK, september 1998. IEE.

  17. 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.

  18. M.A. Abido and J.M. Bakhashwain. A Novel Multiobjective Evolutionary Algorithm for Optimal Reactive Power Dispatch Proble, in Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems, 2003 (ICECS 2003), IEEE, Vol. 3, pp. 1054--1057, December 2003.

  19. 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.

  20. 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.

  21. 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 .

  22. 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 .

  23. 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 .

  24. 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 .

  25. 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.

  26. 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 .

  27. Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors). Evolutionary Multiobjective Optimization. Theoretical Advances and Applications, Springer, USA, 2005, ISBN 1-85233-787-7 .

  28. 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 .

  29. 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 .

  30. 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.

  31. 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).

  32. 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 .

  33. 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 DesignA , in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1--8, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  34. 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.

  35. 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 .

  36. 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 .

  37. 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).

  38. 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 .

  39. Salem F. Adra, Tony J. Dodd, Ian A. Griffin and Peter J. Fleming. Convergence Accelaration Operator for Multiobjective Optimization, IEEE Transactions on Evolutionary Computation, Vol. 13, No. 4, pp. 825--847, August 2009 .

  40. 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 .

  41. 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 .

  42. 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.

  43. 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 .

  44. 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.

  45. 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 .

  46. 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.

  47. 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 .

  48. 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 .

  49. Varun Aggarwal and Una-May O'Reilly. COSMO: A Correlation Sensitive Mutation Operator for Multi-Objective Optimization, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 741--748, Vol. 1, ACM Press, London, UK, July 2007 .

  50. Eleni Aggelogiannaki and Haralarnbos Sarimveis. Simulated annealing algorithm for prioritized multiobjective optimization-implementation in an adaptive model predictive control configuration, IEEE Transactions on Systems, Man and Cybernetics Part B--Cybernetics, Vol. 37, No. 4, pp. 902--915, August 2007 .

  51. Brahim Aghezzaf and Mohamed Naimi. The two-stage recombination operator and its application to the multiobjective 0/1 knapsack problem: A comparative study, Computers & Operations Research, Vol. 36, No. 12, pp. 3247--3262, December 2009 .

  52. D. K. Agrafiotis. Multiobjective Optimization of Combinatorial Libraries, Molecular Diversity, Vol. 5, No. 4, pp. 209--230, 2000.

  53. D. K. Agrafiotis. Multiobjective optimization of combinatorial libraries, IBM Journal of Research and Development, Vol. 45, No. 3-4, pp. 545--566, May-July 2001.

  54. D. K. Agrafiotis. Multiobjective optimization of combinatorial libraries, Journal of Computer-Aided Molecular Design, Vol. 16, No. 5-6, pp. 335--356, May-June, 2002.

  55. N. Agrawal, G.P. Rangaiah, A.K. Ray and S.K. Gupta. Multi-Objective Optimization of the Operation of an Industrial Low-Density Polyethylene Tubular Reactor Using Genetic Algorithm and Its Jumping Gene Adaptations, Industrial and Engineering Chemistry Research, Vol. 45, pp. 3182--3199, 2006 .

  56. Shubham Agrawal, Yogesh Dashora, Manoj Kumar Tiwari and Young-Jun Son. Interactive Particle Swarm: A Pareto-Adaptive Metaheuristic to Multiobjective Optimization, IEEE Transactions on Systems, Man and Cybernetics Part A--Systems and Humans, Vol. 38, No. 2, pp. 258--277, March 2008 .

  57. Shubham Agrawal, B.K. Panigrahi and Manoj Kumar Tiwari. Multiobjective Particle Swarm Algorithm with Fuzzy Clustering for Electrical Power Dispatch, IEEE Transactions on Evolutionary Computation, Vol. 12, No. 5, pp. 529--541, October 2008 .

  58. Jose Aguilar and Pablo Miranda. Approaches Based on Genetic Algorithms for Multiobjective Optimization Problems, In Wolfgang Banzhaf, Jason Daida, Agoston E. Eiben, Max H. Garzon, Vasant Honavar, Mark Jakiela and Robert E. Smith, editors, GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference, volume 1, pages 3--10, Orlando, Florida, USA, 1999. Morgan Kaufmann Publishers.

  59. Jose Aguilar and Pablo Miranda. Resolution of the Left Ventricle 3D Reconstruction Problem using Approaches based on Genetic Algorithm for Multiobjective Problems, In 1999 Congress on Evolutionary Computation, pages 913--920, Vol. 2, Washington, D.C., July 1999. IEEE Service Center.

  60. A. A. Aguilar-Lasserre, L. Piboleau and C. Azzaro-Pantel. Enhanced genetic algorithm-based fuzzy multiobjective strategy to multiproduct batch plant design, Applied Soft Computing, Vol. 9, No. 4, pp. 1321-1330, September 2009.

  61. Alberto A. Aguilar-Lasserre, Marco A. Bautista Bautista, Antonin Ponsich and Magno A. Gonzalez Huerta. An AHP-based decision-making tool for the solution of multiproduct batch plant design problem under imprecise demand, Computers & Operations Research, Vol. 36, No. 3, pp. 711-736, March 2009.

  62. Hernán E. Aguirre, Kiyoshi Tanaka, Tatsuo Sugimura and Shinjiro Oshita. Halftone Image Generation with Improved Multiobjective Genetic Algorithm. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 501-515. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

  63. Hernán Eduardo Aguirre Durán. Generational Parallel Varying Mutation GAs and their Applications, PhD thesis, Shinshu University, Japan, March 2003 (abstract) .

  64. Arturo Hernández Aguirre, Salvador Botello Rionda, Carlos A. Coello Coello, Giovanni Lizárraga Lizárraga and Efrén Mezura Montes. Handling Constraints using Multiobjective Optimization Concepts, International Journal for Numerical Methods in Engineering, Volume 59, No. 15, pp. 1989--2017, April 2004 .

  65. Arturo Hernández Aguirre, Ricardo Salem Zebulum and Carlos A. Coello Coello. Evolutionary Multiobjective Design targeting a Field Programmable Transistor Array, in Ricardo S. Zebulum, David Gwaltney, Gregory Hornby, Didier Keymeulen, Jason Lohn and Adrian Stoica (editors), Proceedings of the 2004 NASA/DoD Conference on Evolvable Hardware, pp. 199--205, IEEE Computer Society, Los Alamitos, California, June 2004 .

  66. Hernán E. Aguirre, Masahiko Sato and Kiyoshi Tanaka. Preliminary Study on the Performance of Multi-objective Evolutionary Algorithms with MNK-Landscapes, in Proceedings of the 2004 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP 2004), pp. 315--318, The Research Institute of Signal Processing Japan, Hawaii, USA, March 2004 .

  67. Hernán E. Aguirre and Kiyoshi Tanaka. Insights on Properties of Multiobjective MNK-Landscapes, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 196--203, Portland, Oregon, USA, June 2004 .

  68. Arturo Hernández Aguirre, Salvador Botello Rionda and Carlos A. Coello Coello. PASSSS: An Implementation of a Novel Diversity Strategy for Handling Constraints, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 403--410, Portland, Oregon, USA, June 2004 .

  69. Hernán E. Aguirre and Kiyoshi Tanaka. Effects of Elitism and Population Climbing on Multiobjective MNK-Landscapes, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 449--456, Portland, Oregon, USA, June 2004 .

  70. Arturo Hernández Aguirre and Salvador Botello Rionda. Evolutionary Multi-Objective Optimization of Trusses, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 201--226, World Scientific, Singapore, 2004.

  71. H. Aguirre and K. Tanaka. Random bit climbers on multiobjective MNK-Landscapes: Effects of memory and population climbing, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, Vol. E88A, No. 1, pp. 334--345, January 2005 .

  72. Hernán Aguirre and Kiyoshi Tanaka. Selection, Drift, Recombination and Mutation in Multiobjective Evolutionary Algorithms on Scalable MNK-Landscapes, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 355--369, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  73. Hernán E. Aguirre and Kiyoshi Tanaka. Working principles, behavior and performance of MOEAs on MNK-landscapes, European Journal of Operational Research, Vol. 181, No. 3, pp. 1670--1690, 16 September, 2007 .

  74. Hernán Aguirre, Hiroyuki Okazaki and Yasushi Fuwa. An Evolutionary Multiobjective Approach to Design Highly Non-linear Boolean Functions, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 749--756, Vol. 1, ACM Press, London, UK, July 2007 .

  75. Hernán Aguirre and Kiyoshi Tanaka. Many-Objective Optimization by Space Partitioning and Adaptive ε-Ranking on MNK-Landscapes, 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. 407--422, Springer. Lecture Notes in Computer Science Vol. 5467, Nantes, France, April 2009 .

  76. Hernán E. Aguirre and Kiyoshi Tanaka. Space partitioning with adaptive ε-ranking and substitute distance assignments: a comparative study on many-objective MNK-landscapes, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 547--554, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .

  77. Hernan Aguirre and Kiyoshi Tanaka. Adaptive ε-Ranking on MNK-Landscapes, in 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2009), pp. 104--111, IEEE Press, Nashville, TN, USA, March 30--April 2 2009. ISBN 978-1-4244-2764-2 .

  78. Frank J. Aherne, Neil A. Thacker and Peter I. Rockett. Optimal Pairwise Geometric Histograms. In Adrian F. Clark, editor, Electronic Proceedings of the Eighth British Machine Vision Conference, BMVC97, University of Essex, United Kingdom, September 1997.

  79. Frank J. Aherne, Neil A. Thacker and Peter I. Rockett. Automatic Parameter Selection for Object Recognition using a Parallel Multiobjective Genetic Algorithm. In Proceedings of the 7th International Conference on Computer Analysis of Images and Patterns (CAIP'97), Lecture Notes in Computer Science 1296, pages 559-566, Kiel, Germany, September 1997. Springer Verlag.

  80. Frank J. Aherne, Neil A. Thacker and Peter I. Rockett. Optimising Object Recognition Parameters using a Parallel Multiobjective Genetic Algorithm, In Proceedings of the 2nd IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA'97), pages 1-6, Glasgow, Scotland, September 1997. IEE.

  81. Chang Wook Ahn. Advances in Evolutionary Algorithms. Theory, Design and Practice, Springer, ISBN 3-540-31758-9, 2006 .

  82. Chang Wook Ahn and R.S. Ramakrishna. Multiobjective Real-coded Bayesian Optimization Algorithm Revisited: Diversity Preservation, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 593--600, Vol. 1, ACM Press, London, UK, July 2007 .

  83. Ashish Ahuja, Sanjoy Das and Anil Pahwa. An AIS-ACO hybrid approach for multi-objective distribution system reconfiguration, IEEE Transactions on Power Systems, Vol. 22, No. 3, pp. 1101--1111, August 2007 .

  84. Shamim Akhtar, Kang Tai and Tapabrata Ray. A Socio-Behavioural Simulation Model for Engineering Design Optimization, Engineering Optimization, Vol. 34, No. 4, pp. 341--354, 2002.

  85. Sameer Alam, Lam T. Bui, Hussein A. Abbass and Michael Barlow. Pareto Meta-heuristics for Generating Safe Flight Trajectories Under Weather Hazards, in Tzai-Der Wang, Xiaodong Li, Shu-Heng Chen, Xufa Wang, Hussein Abbass, Hitoshi Iba, Guoliang Chen and Xin Yao (editors), Simulated Evolution and Learning, 6th International Conference, SEAL 2006, pp. 829--836, Springer. Lecture Notes in Computer Science Vol. 4247, Hefei, China, October 2006.

  86. Bilal Alatas, Erhan Akin and Ali Karci. Modenar: Multi-objective differential evolution algorithm for mining numeric association rules, Applied Soft Computing, Vol. 8, No. 1, pp. 646--656, January 2008 .

  87. Bilal Alatas and Erhan Akin. Multi-objective rule mining using a chaotic particle swarm optimization algorithm, Knowledge-Based Systems, Vol. 22, No. 6, pp. 455-460, August 2009.

  88. Inès Alaya and Christine Solnon and Khaled Ghédira. Ant Colony Optimization for Multi-objective Optimization Problems, in Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), Vol. 1, pp. 450--457, IEEE Computer Society Press, October 2007.

  89. E. Alba, B. Dorronsoro, F. Luna, A.J. Nebro, P. Bouvry and L. Hogie. A cellular multi-objective genetic algorithm for optimal broadcasting strategy in metropolitan MANETs, Computer Communications, Vol. 30, No. 4, pp. 685--697, February 2007 .

  90. Enrique Alba, A. Cervantes, J. A. Gómez, P. Isasi, M. D. Jaraíz, Coromoto León, Gabriel Luque, Francisco Luna, Gara Miranda, Antonio J. Nebro, R. Pérez and Carlos Segura. Metaheuristic Approaches for Optimal Broadcasting Design in Metropolitan MANETs, in Roberto Moreno-Díaz, Franz Pichler and Alexis Quesada-Arencibia (editors), Computer Aided Systems Theory - EUROCAST 2007, 11th International Conference on Computer Aided Systems Theory, pp. 755--763, Springer. Lecture Notes in Computer Science Volume 4739, Las Palmas de Gran Canaria, Spain, February 12-16 2007.

  91. Enrique Alba and Bernabé Dorronsoro. Cellular Genetic Algorithms, Springer, New York, 2008, ISBN 978-0-387-77609-5.

  92. A. Albers, N. Leon-Rovira, H. Aguayo and T. Maier. Development of an engine crankshaft in a framework of computer-aided innovation, Computers in Industry, Vol. 60, No. 8, pp. 604--612, October, 2009 .

  93. I. Alberto, C. Azcarate, F. Mailor and P. M. Mateo. Optimization with simulation and multiobjective analysis in industrial decision-making: A case study, European Journal of Operational Research, Vol. 140, No. 2, pp. 373--383, July 16, 2002.

  94. I. Alberto and P.M. Mateo. Representation and management of MOEA populations based on graphs, European Journal of Operational Research, Vol. 159, No. 1, pp. 52--65, November 2004 .

  95. M. Nassar Albunni, Volker Rischmuller, Thomas Fritzche and Boris Lohmann. Multiobjective Optimization of the Design of Nonlinear Electromagnetic Systems Using Parametric Reduced Order Models, IEEE Transactions on Magnetics, Vol. 45, No. 3, pp. 1474-1477, March 2009.

  96. R. Alcala, M. J. Gacto, F. Herrera and J. Alcala-Fdez. A multi-objective genetic algorithm for tuning and rule selection to obtain accurate and compact linguistic fuzzy rule-based systems, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, Vol. 15, No. 5, pp. 539--557, October 2007.

  97. Rafael Alcalá, Jesús Alcalá-Fdez, María José Gacto and Francisco Herrera. On the Usefulness of MOEAs for Getting Compact FRBSs Under Parameter Tuning and Rule Selection, in Ashish Ghosh, Satchidananda Dehuri and Susmita Ghosh, editors, Multi-objective Evolutionary Algorithms for Knowledge Discovery from Data Bases, pp. 91--107, Springer, Berlin, 2008, ISBN 978-3-540-77466-2 .

  98. Rafael Alcala, Pietro Ducange, Francisco Herrera, Beatrice Lazzerini and Francesco Marcelloni. A Multiobjective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy-Rule-Based Systems, IEEE Transactions on Fuzzy Systems, Vol. 17, No. 5, pp. 1106--1122, October 2009 .

  99. M. E. Alemany and C. Andrés and E. Vicens. A new genetic algorithm for the machine grouping problem with multiple objectives, in Ashayeri and Sullivan and Ahmad (eds), Proceedings of Flexible Automation and Intelligent Manufacturing (FAIM 1999), pp. 461--473, 1999

  100. E. Alfaro-Cid, P. A. Castillo, A. Esparcia, K. Sharman, J. J. Merelo, A. Prieto, A. M. Mora and J. L. J. Laredo. Comparing Multiobjective Evolutionary Ensembles for Minimizing Type I and II Errors for Bankruptcy Prediction, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 2907--2913, IEEE Service Center, Hong Kong, June 2008.

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  825. Carlos A. Coello Coello. Using a Min-Max Method to solve Multiobjective Optimization Problems with Genetic Algorithms. In IBERAMIA'98. Lecture Notes in Computer Science, pages 303-314, Lisbon, Portugal, October 1998. Springer-Verlag.

  826. Carlos A. Coello Coello. A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques, Knowledge and Information Systems. An International Journal, 1(3):269-308, August 1999.

  827. Carlos A. Coello Coello and Alan D. Christiansen. MOSES: A Multiobjective Optimization Tool for Engineering Design, Engineering Optimization, 31(3):337-368, 1999.

  828. Carlos A. Coello Coello. An Updated Survey of Evolutionary Multiobjective Optimization Techniques : State of the Art and Future Trends, In 1999 Congress on Evolutionary Computation, pages 3-13, Vol. 1, Washington, D.C., July 1999. IEEE Service Center.

  829. Carlos A. Coello Coello. Constraint handling through a multiobjective optimization technique, In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 117-118, Orlando, Florida, July 1999.

  830. Carlos A. Coello Coello. Treating Constraints as Objectives for Single-Objective Evolutionary Optimization, Engineering Optimization, 32(3):275-308, 2000.

  831. Carlos A. Coello Coello and Alan D. Christiansen. Multiobjective optimization of trusses using genetic algorithms, Computers and Structures, 75(6):647-660, May 2000.

  832. Carlos A. Coello Coello. Handling Preferences in Evolutionary Multiobjective Optimization: A Survey, In 2000 Congress on Evolutionary Computation, volume 1, pages 30-37, Piscataway, New Jersey, July 2000. IEEE Service Center.

  833. Carlos A. Coello Coello. Constraint-handling using an evolutionary multiobjective optimization technique,Civil Engineering and Environmental Systems, 17:319-346, 2000.

  834. 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.

  835. Carlos A. Coello Coello. An Updated Survey of GA-Based Multiobjective Optimization Techniques. ACM Computing Surveys, 32(2):109-143, June 2000.

  836. 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, pages 126-140. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

  837. 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

  838. 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 .

  839. Carlos A. Coello Coello, David A. Van Veldhuizen and Gary B. Lamont, Evolutionary Algorithms for Solving Multi-Objective Problems, Kluwer Academic Publishers, New York, March 2002, ISBN 0-3064-6762-3.

  840. 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.

  841. 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.

  842. 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.

  843. 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.

  844. 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.

  845. 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 .

  846. 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 .

  847. 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 .

  848. 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 .

  849. 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.

  850. 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.

  851. Carlos A. Coello Coello and Gary B. Lamont (editors). Applications of Multi-Objective Evolutionary Algorithms, World Scientific, Singapore, 2004, ISBN 981-256-106-4.

  852. 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.

  853. 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 .

  854. Carlos A. Coello Coello, Gregorio Toscano Pulido and Efrén Mezura Montes. Current and Future Research Trends in Evolutionary Multiobjective Optimization, in Manuel Graña, Richard Duro, Alicia d'Anjou and Paul P. Wang (editors), Information Processing with Evolutionary Algorithms: From Industrial Applications to Academic Speculations, pp. 213--231, Springer-Verlag, ISBN 1-8523-3866-0, 2005 .

  855. Carlos A. Coello Coello and Nareli Cruz Cortés. Solving Multiobjective Optimization Problems using an Artificial Immune System, Genetic Programming and Evolvable Machines, Vol. 6, No. 2, pp. 163--190, June 2005 .

  856. Carlos A. Coello Coello and Gregorio Toscano Pulido. Multiobjective Structural Optimization using a Micro-Genetic Algorithm, Structural and Multidisciplinary Optimization, Vol. 30, No. 5, pp. 388--403, November 2005.

  857. Carlos A. Coello Coello. The EMOO repository: a resource for doing research in evolutionary multiobjective optimization, IEEE Computational Intelligence Magazine, Vol. 1, No. 1, pp. 37--45, February 2006 .

  858. Carlos A. Coello Coello. Evolutionary Multiobjective Optimization: A Historical View of the Field, IEEE Computational Intelligence Magazine, Vol. 1, No. 1, pp. 28--36, February 2006 .

  859. Carlos A. Coello Coello, 20 Years of Evolutionary Multi-Objective Optimization: What Has Been Done and What Remains to be Done, in Gary Y. Yen and David B. Fogel (editors), Computational Intelligence: Principles and Practice, Chapter 4, pp. 73--88, IEEE Computational Intelligence Society, 2006 .

  860. Carlos A. Coello Coello, Evolutionary Multi-Objective Optimization in Finance, in Jean-Philippe Rennard (editor), Handbook of Research on Nature Inspired Computing for Economy and Management, pp. 74--88, Vol. I, Idea Group Reference, Hershey, UK, 2006, ISBN 1-59140-984-5.

  861. Carlos A. Coello Coello, Gary B. Lamont and David A. Van Veldhuizen. Evolutionary Algorithms for Solving Multi-Objective Problems, Second Edition, Springer, New York, ISBN 978-0-387-33254-3, September 2007 .

  862. Carlos A. Coello Coello and Ricardo Landa Becerra. Evolutionary Multi-Objective Optimization in Materials Science and Engineering, Materials and Manufacturing Processes, Vol. 24, No. 2, pp. 119--129, 2009 .

  863. Carlos A. Coello Coello. Evolutionary Multi-Objective Optimization: Some Current Research Trends and Topics that Remain to be Explored, Frontiers of Computer Science in China, Vol. 3, No. 1, pp. 18--30, 2009 .

  864. David A. Coley. Evolving Green Buildings, in Erick Cantú-Paz (editor), 2002 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 62--68, New York, July 2002.

  865. Y. Collette, P. Siarry and H.-I. Wong. Multidimensional Data Representation Aimed at the Interpretation of Results from Multiobjective Optimization, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.

  866. Y. Collette, P. Siarry and H.-I. Wong. A Systematic Comparison of Performance of Various Multiple Objective Metaheuristics Using a Common Set of Analytical Test Functions, Foundations of Computing and Decision Sciences, Vol. 25, No. 4, pp. 249--271, 2000.

  867. Yann Collette and Patrick Siarry. Multiobjective Optimization. Principles and Case Studies, Springer, August 2003 .

  868. Glauber R. Colnago and Paulo B. Correia. Multiobjective dispatch of hydrogenerating units using a two-step genetic algorithm method, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2554-2560, IEEE Press, Trondheim, Norway, May, 2009.

  869. Gualtiero Colombo and Christine Mumford. Comparing Algorithms, Representations and Operators for the Multi-Objective Knapsack Problem, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1268--1275, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.

  870. Gualtiero Colombo and Stuart M. Allen. A Decomposed Approach for the Minimum Interference Frequency Assignment, in Ying-ping Chen and Meng-Hiot Lim (editors), Linkage in Evolutionary Computation, pp. 389--417, Springer-Verlag, Berlin Heidelberg, 2008.

  871. Robert Cook, Arturo Molina-Cristobal, Geoff Parks, Cuitlahuac Osornio Correa and P. John Clarkson. Multi-objective Optimisation of a Hybrid Electric Vehicle: Drive Train and Driving Strategy, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 330--345, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  872. Angel Corberán, Elena Fernández, Manuel Laguna and Rafael Martí. Heuristic Solutions to the Problem of Routing School Buses with Multiple Objectives, Journal of the Operational Research Society, Vol. 53, No. 4, pp. 427--435, 2002.

  873. O. Cordón, F. Herrera, M.J. del Jesus and P. Villar. A Multiobjective Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy-Rule Based Classification Systems, in Joint 9th IFSA World Congress and 20th NAFIPS International Conference, Vol. 3, pp. 1253--1258, IEEE, 2001.

  874. Oscar Cordón, Enrique Herrera-Viedma and María Luque. Evolutionary Learning of Boolean Queries by Multiobjective Genetic Programming, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 710--719, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002.

  875. O. Cordon, E. Herrera-Viedma and M. Luque. Improving the learning of Boolean queries by means of a multiobjective IQBE evolutionary algorithm, Information Processing & Management, Vol. 42, No. 3, pp. 615--632, May 2006 .

  876. David W. Corne, Joshua D. Knowles and Martin J. Oates. The Pareto Envelope-based Selection Algorithm for Multiobjective Optimization, In Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, Xin Yao, Evelyne Lutton, J. J. Merelo and Hans-Paul Schwefel (editors), Proceedings of the Parallel Problem Solving from Nature VI Conference, pages 839--848. Springer, 2000

  877. David W. Corne, Nick R. Jerram, Joshua D. Knowles and Martin J. Oates, PESA-II: Region-based Selection in Evolutionary Multiobjective Optimization, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 283--290, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  878. David W. Corne, Kalyanmoy Deb, Peter J. Fleming and Joshua D. Knowles. The Good of the Many Outweights the Good of the One: Evolutionary Multi-Objective Optimization, Connections. The Newsletter of the IEEE Neural Networks Society, Vol. 1, No. 1, pp. 9--13, February 2003 .

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  880. David Corne and Joshua Knowles. Some Multiobjective Optimizers are Better than Others, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2506--2512, IEEE Press, Canberra, Australia, December 2003 .

  881. David Corne and Joshua Knowles. Techniques for Highly Multiobjective Optimisation: Some Nondominated Points are Better than Others, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 773--780, Vol. 1, ACM Press, London, UK, July 2007 .

  882. Lino Costa, Pedro Oliveira, Isabel N. Figueiredo and Rogério P. Leal.Compliance Minimization of a Composite Laminated Plate by Genetic Algorithms, In Proceedings of the European Conference on Computational Mechanics---ECCM'99, pp. 740--741, Munich, Germany, 1999 .

  883. Lino Costa, Pedro Oliveira, Isabel N. Figueiredo, Luís F. Roseiro and Rogério P. Leal.Structural Optimization of Laminated Plates with Genetic Algorithms, In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 621--627, San Francisco, California, 2000. Morgan Kaufmann.

  884. Lino Costa and Pedro Oliveira. Evolutionary Algorithms Approach to the Solution of Mixed Integer Non-Linear Programming Problems, Computers & Chemical Engineering, Vol. 25, pp. 257-266, 2001 .

  885. Lino Costa and Pedro Oliveira. An Elitist Genetic Algorithm for Multiobjective Optimization, in Jorge Pinho de Sousa (Editor), Proceedings of the 4th Metaheuristics International Conference---MIC 2001, pp. 205--209, Porto, Portugal, Program Operational Ciencia, Tecnologia, Inovaçao do Quadro Comunitário de Apoio III de Fundaçao para a Ciencia e Tecnologia, July 2001 .

  886. Lino Costa and Pedro Oliveira. An Evolution Strategy for Multiobjective Optimization, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 97--102, IEEE Service Center, Piscataway, New Jersey, May 2002.

  887. Mario Costa and Edmondo Minisci. MOPED: A Multi-objective Parzen-Based Estimation of Distribution Algorithm for Continuous Problems, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 252--266, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  888. Lino Costa and Pedro Oliveira. An Adaptive Sharing Elitist Evolution Strategy for Multiobjective Optimization, Evolutionary Computation, Vol. 11, No. 4, pp. 417--438, Winter 2003 .

  889. Lino António Antunes Fernandes da Costa. Algoritmos Evolucionários em Optimização Uni e Multi-objectivo, PhD thesis, Universidade do Minho, Portugal, March 2003 (In Portuguese) (abstract in English).

  890. Lino Costa and Pedro Oliveira. Multiobjective Optimization: Redundant and Informative Objectives, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2008-2015, IEEE Press, Trondheim, Norway, May, 2009.

  891. Dan Costelloe, Peter Mooney and Adam Winstanley. Multi-Objective Optimisation and Dynamic Routing Algorithms in Transportation Networks, First International Conference on Geographic Information Science, Savannah, Georgia, October 2000.

  892. Dan Costelloe, Peter Mooney and Adam Winstanley. Multi-Objective Optimisation on Transportation Networks, Proceedings of 4th AGILE Conference, Brno, Czech Republic, April 2001.

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  894. David Coulot, Arnaud Pollet, Xavier Collilieux and Philippe Berio. Global optimization of core station networks for space geodesy: application to the referencing of the SLR EOP with respect to ITRF, Journal of Geodesy, Vol. 84, No. 1, pp. 31-50, January, 2010 .

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  897. J. A. Covas and A. Gaspar-Cunha. Extrusion Scale-up: An Optimization-based Methodology, International Polymer Processing, Vol. 24, No. 1, pp. 67-82, March, 2009.

  898. V. Coverstone-Caroll, J.W. Hartmann and W.M. Mason. Optimal Multi-Objective Low-Thrust Spacecraft Trajectories, Computer Methods in Applied Mechanics and Engineering, Vol. 186, pp. 387--402, 2000 .

  899. Peter Cowling, Nic Colledge, Keshav Dahal and Stephen Remde. The Trade Off Between Diversity and Quality for Multi-objective Workforce Scheduling, in Jens Gottlieb and Günther R. Raidl (editors), Evolutionary Computation in Combinatorial Optimization, 6th European Conference, EvoCOP 2006, pp. 13--24, Springer. Lecture Notes in Computer Science Vol. 3906, Budapest, Hungary, April 2006 .

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  901. Jorge Crichigno and Benjamín Barán. Multiobjective Multicast Routing Algorithm, in José Neuman de Souza, Petre Dini and Pascal Lorenz (editors), Telecommunications and Networking. 11th International Conference on Telecommunications (ICT'2004), pp. 1029-1034, Springer, Lecture Notes in Computer Science, Vol. 3124, Fortaleza, Brazil, August 1-6 2004. ISBN 978-3-540-22571-3.

  902. Arturo Molina Cristóbal. Multiobjective Control: Linear Matrix Inequality Techniques and Genetic Algorithms Approach, PhD thesis, Department of Automatic Control and Systems Engineering. The University of Sheffield. Sheffield, UK, April 2005 (abstract)

  903. N. Croisard and M. Vasile. System Engineering Design Optimisation Under Uncertainty for Preliminary Space Mission, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 324--331, IEEE Press, Trondheim, Norway, May 2009.

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  906. Stephen R. Norris and William A. Crossley. Pareto-Optimal Controller Gains Generated by a Genetic Algorithm. In AIAA 36th Aerospace Sciences Meeting and Exhibit, Reno, Nevada, January 1998. AIAA Paper 98-0010.

  907. William A. Crossley, A. M. Cook, D. W. Fanjoy and V. B. Venkayya. Using the Two-Branch Tournament Genetic Algorithm for Multiobjective Design. In AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Long Beach, California, April 1998. AIAA Paper 98-1914.

  908. Nareli Cruz Cortés and Carlos A. Coello Coello. Multiobjective Optimization Using Ideas from the Clonal Selection Principle, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 158--170, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003 .

  909. Nareli Cruz Cortés and Carlos A. Coello Coello. Using Artificial Immune Systems to Solve Optimization Problems, in Alwyn Barry (editor), 2003 Genetic and Evolutionary Computation Conference. Workshop Program, pp. 312--315, AAAI, Chicago, Illinois, USA, July 2003 .

  910. J.M. de la Cruz, B. de Andres-Toro, A. Herrán, E. Besada Porta and P. Fernandez Blanco. Multiobjective Optimization of the Transport in Oil Pipelines, in Proceedings of the 9th IEEE International Conference on Emerging Technologies and Factory Automation, pp. 566--573, Vol. 1, Lisbon, Portugal, September 2003.

  911. André R. da Cruz, Rodrigo T. N. Cardoso, Elizabeth F. Wanner and Ricardo H. C. Takahashi. A Multiobjective Non-Linear Dynamic Programming Approachg for Optimal Biological Control in Soy Farming via NSGA-II, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 3093--3099, IEEE Press, Singapore, September 2007.

  912. Xunxue Cui, Miao Li and Tingjian Fang. Study of Population Diversity of Multiobjective Evolutionary Algorithm Based on Immune and Entropy Principles, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 1316--1321, May 2001

  913. Xunxue Cui, Qin Li and Qing Tao. Genetic algorithm for pareto optimum-based route selection, Journal of Systems Engineering and Electronics, Vol. 18, No. 2, pp. 360--368, June 2007.

  914. A. Gaspar Cunha, Pedro Oliveira and José A. Covas. Use of Genetic Algorithms in Multicriteria Optimization to Solve Industrial Problems. In Thomas Bäck, editor, Proceedings of the Seventh International Conference on Genetic Algorithms, pages 682-688, San Mateo, California, July 1997. Michigan State University, Morgan Kaufmann Publishers.

  915. A.G. Cunha, J.A. Covas and P. Oliveira. Optimization of polymer extrusion with genetic algorithms, IMA Journal of Mathematics Applied in Business and Industry, Vol. 9, pp. 267--277, 1998.

  916. A. Gaspar Cunha, Pedro Oliveira and José A. Covas. Genetic Algorithms in Multiobjective Optimization Problems: An Application to Polymer Extrusion. In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 129-130, Orlando, Florida, July 1999.

  917. A. Gaspar-Cunha, A. Poulesquen, B. Vergnes and J.A. Covas. Optimization of Processing Conditions for Polymer Twin-screw Extrusion, International Polymer Processing, Vol. 17, No. 3, pp. 201--213, 2002.

  918. A. Gaspar-Cunha and J.A. Covas. A Real-World Test Problem for EMO Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 752--766, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  919. António Gaspar-Cunha and José A. Covas. RPSGAe--Reduced Pareto Set Genetic Algorithm: Application to Polymer Extrusion, in Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen and Vincent T'kindt (editors), Metaheuristics for Multiobjective Optimisation, pp. 221--249, Springer. Lecture Notes in Economics and Mathematical Systems Vol. 535, Berlin, 2004.

  920. António Gaspar-Cunha and José A. Covas. The Use of Evolutionary Algorithms to Solve Practical Problems in Polymer Extrusion, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 177--199, World Scientific, Singapore, 2004.

  921. A. Gaspar-Cunha, J.A. Covas and B. Vergnes. Defining the configuration of co-rotating twin-screw extruders with multiobjective evolutionary algorithms, Polymer Engineering and Science, Vol. 45, No. 8, pp. 1159--1173, August 2005 .

  922. A. Gaspar-Cunha and J.C. Viana. Using multi-objective evolutionary algorithms to optimize mechanical properties of injection molded part, International Polymer Processing, Vol. 20, No. 3, pp. 274--285, September 2005 .

  923. A. Gaspar-Cunha and A. Vieira. A Multi-Objective Evolutionary Algorithm using Neural Networks to Approximate Fitness Evaluations, International Journal of Computers, Systems and Signals, Vol. 6, No. 1, pp. 18--36, 2005.

  924. A. Gaspar-Cunha. A Multi-Objective Evolutionary Algorithm for Solving Traveling Salesman Problems: Application to the Design of Polymer Extruders, in Bernardete Ribeiro, Rudolf F. Albrecht andrej Dobnikar, David W. Pearson and Nigel C. Steele (editors), Adaptive and Natural Computing Algorithms, pp. 189--193, Springer, Coimbra, Portugal, March 2005.

  925. Mehmet Cunkas and Tahir Sag. Efficiency determination of induction motors using multi-objective evolutionary algorithms, Advances in Engineering Software, Vol. 41, No. 2, pp. 255-261, February, 2010 .

  926. Francesco Cupertino, Ernesto Mininno, David Naso, Biagio Turchiano and Luigi Salvatore. On-Line Genetic Design of Anti-Windup Unstructured Controllers for Electric Drives With Variable Load,IEEE Transactions on Evolutionary Computation, Vol. 8, No. 4, pp. 347--364, August 2004.

  927. Silvia Curteanu and Maria Cazacu. Optimization of a Polysiloxane Synthesis Process Using Artificial Intelligence Methods, Revue Roumaine de Chimie, Vol. 53, No. 12, pp. 1141-1148, December, 2008.

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  929. Vincenzo Cutello, Giuseppe Narzisi and Giuseppe Nicosia. Computational Studies of Peptide and Protein Structure Prediction Problems via Multiobjective Evolutionary Algorithms, in Joshua Knowles, David Corne and Kalyanmoy Deb (Editors), Multi-Objective Problem Solving from Nature: From Concepts to Applications, pp. 93--114, Springer, Berlin, 2008, ISBN 978-3-540-72963-1 .

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  962. Dipankar Dasgupta and Fabio A. González.Evolving Complex Fuzzy Classifier Rules Using a Linear Tree Genetic Representation, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 299--305, Morgan Kaufmann Publishers, San Francisco, California, July 2001.

  963. Dipankar Dasgupta, German Hernandez, Andres Romero, Deon Garrett, Aishwarya Kaushal and James Simien. On The Use of Informed Initialization and Extreme Solutions Sub-population in Multiobjective Evolutionary Algorithms, in 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM'2009), pp. 58--65, IEEE Press, Nashville, TN, USA, March 30--April 2 2009. ISBN 978-1-4244-2764-2 .

  964. Dipankar Dasgupta, Fernando Niño, Deon Garrett, Koyel Chaudhuri, Soujanya Medapati, Aishwarya Kaushal and James Simien. A multiobjective evolutionary algorithm for the task based sailor assignment problem, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1475--1482, ACM Press, Montreal, Canada, July 8--12, 2009. ISBN 978-1-60558-325-9 .

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  966. Dilip Datta and Kalyanmoy Deb. Design of optimum cross-sections for load-carrying members using multi-objective evolutionary algorithms, in Proceedings of the International Conference on Systemics, Cybernetics and Informatics (ICSCI), pp. 571--577, Hyberabad, India, 2005.

  967. Dilip Datta and Kalyanmoy Deb. Design of optimum cross-sections for load carrying members using multi-objective evolutionary algorithms, Journal of Systemics, Cybernetics and Informatics, Vol. 1, pp. 57--63, January 2006.

  968. Dilip Datta. Multi-Objective Evolutionary Algorithms for Resource Allocation Problems, PhD thesis, Department of Mechanical Engineering, Indian Institute of Technology Kanpur, India, July 2006 (abstract).

  969. 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 .

  970. Dilip Datta, Kalyanmoy Deb and Carlos M. Fonseca. Multi-Objective Evolutionary Algorithm for University Class Timetabling Problem, in Keshav P. Dahal, Kay Chen Tan and Peter I Cowling (editors), Evolutionary Scheduling, pp. 197--236, Springer, Studies in Computational Intelligence (SCI), Berlin, 2007, ISBN 3-540-48582-1 .

  971. Dilip Datta, Kalyanmoy Deb and Carlos M. Fonseca. Multi-objective Evolutionary Algorithms for Resource Allocation Problems, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 401--416, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  972. Dilip Datta, Kalyanmoy Deb, Carlos M. Fonseca, Fernando G. Lobo, Paulo A. Condado and Júlia Seixas. Multi-Objective Evolutionary Algorithm for Land-Use Management Problem, International Journal of Computational Intelligence Research, Vol. 3, No. 4, pp. 371--384, 2007.

  973. Shubhabrata Datta, Frank Pettersson, Subhas Ganguly, Henrik Saxen and Nirupam Chakraborti. Identification of factors governing mechanical properties of TRIP-aided steel using genetic algorithms and neural networks, Materials and Manufacturing Processes, Vol. 23, No. 2, pp. 131--138, 2008 .

  974. Dilip Datta, José Rui Figueira, Carlos M. Fonseca and Fernando Tavares-Pereira. Graph Partitioning Through a Multi-Objective Evolutionary Algorithm: A Preliminary Study, in 2008 Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 625--632, ACM Press, Atlanta, USA, July 2008, ISBN 978-1-60558-131-6 .

  975. Hamid Davoudpour and Maryam Ashrafi. Solving multi-objective SDST flexible flow shop using GRASP algorithm, International Journal of Advanced Manufacturing Technology, Vol. 44, No. 7-8, pp. 737-747, October, 2009.

  976. Madeleine Davis-Moradkhan, Will N. Browne and Peter Grindrod. Extending evolutionary algorithms to discover tri-criterion and non-supported solutions for the minimum spanning tree problem, in 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1829--1830, ACM Press, Montreal, Canada, July 8--12 2009. ISBN 978-1-60558-325-9 .

  977. Peter Dawson, Geoff Parks, Daniel Jaeggi, Arturo Molina-Cristobal and P. John Clarkson. The Development of a Multi-threaded Multi-objective Tabu Search Algorithm, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 242--256, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  978. R. O. Day, J. B. Zydallis and G. B. Lamont. Solving the Protein structure Prediction Problem through a Multi-Objective Genetic Algorithm, in Proceedings of IEEE/DARPA International Conference on Computational Nanoscience (ICCN'02), pp. 32--35, 2002.

  979. Richard O. Day, Mark P. Kleeman and Gary B. Lamont. Solving the Multi-objective Quadratic Assignment Problem using a fast messy Genetic Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 2277--2283, IEEE Press, Canberra, Australia, December 2003 .

  980. Richard O. Day, Mark P. Kleeman and Gary B. Lamont. Multi-Objective fast messy Genetic Algorithm Solving Deception Problems, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1502--1509, Portland, Oregon, USA, June 2004.

  981. Richard O. Day and Gary B. Lamont. Extended Multi-objective fast messy Genetic Algorithm Solving Deception Problems, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 296--310, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  982. Richard O. Day and Gary B. Lamont. Multiobjective Quadratic Assignment Problem Solved by an Explicit Building Block Search Algorithm - MOMGA-IIa, in Günther R. Raidl and Jens Gottlieb (editors), Evolutionary Computation in Combinatorial Optimization. 5th European Conference, EvoCOP 2005, pp. 91--100,Springer, Lecture Notes in Computer Science Vol. 3448, Lausanne, Switzerland, March/April 2005 .

  983. Richard O. Day and Gary B. Lamont. MOEA Design of Robust Digital Symbol Sets, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 2213--2214, Vol. 2, ACM Press, New York, USA, June 2005 .

  984. Richard O. Day and Gary B. Lamont. An Effective Explicit Building Block MOEA, the MOMGA-IIa, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 17--24, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  985. Richard Orison Day. Explicit Building Block Multiobjective Evolutionary Computation: Methods and Application, PhD thesis, Air Force Institute of Technology, AFIT/ENG, BLDG 642, 2950 HOBSON WAY, WPAFB (Dayton) OH 45433-7765, USA, June 2005 (abstract).

  986. Edwin D. de Jong, Richard A. Watson and Jordan B. Pollack.Reducing Bloat and Promoting Diversity using Multi-Objective Methods, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 11--18, Morgan Kaufmann Publishers, San Francisco, California, July 2001.

  987. Edwin D. de Jong. Representation Development from Pareto-Coevolution, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 262--273, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003 .

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  990. Edwin D. de Jong and Jordan B. Pollack. Ideal Evaluation from Coevolution, Evolutionary Computation, Vol. 12, No. 2, pp. 159--192, Summer 2004.

  991. Edwin D. de Jong. The Incremental Pareto-Coevolution Archive, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 525--536, Seattle, Washington, USA, June 2004.

  992. Edwin D. de Jong. Towards a Bounded Pareto-Coevolution Archive, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 2341--2348, Portland, Oregon, USA, June 2004.

  993. Edwin D. de Jong. Intransitivity in Coevolution, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 843--851, Birmingham, UK, September 2004.

  994. Edwin D. de Jong. A Monotonic Archive for Pareto-Coevolution, Evolutionary Computation, Vol. 15, No. 1, pp. 61--93, Spring 2007 .

  995. Edwin D. de Jong and Anthony Bucci. Objective Set Compression. Test-Based Problems and Multiobjective Optimization , in Joshua Knowles, David Corne and Kalyanmoy Deb (Editors), Multi-Objective Problem Solving from Nature: From Concepts to Applications, pp. 357--376, Springer, Berlin, 2008, ISBN 978-3-540-72963-1 .

  996. Dhyan Jyoti Deka, G. Sandeep, D. Chakraborty and A. Dutta. Multiobjective optimization of laminated composites using finite element method and genetic algorithm, Journal of Reinforced Plastics and Composites, Vol. 24, No. 3, pp. 273--285, February 1, 2005.

  997. Pierre De Lit, Patrice Latinne, Brahim Rekiek and Alain Delchambre. Assembly Planning with an Ordering Genetic Algorithm, International Journal of Production Research, Vol. 39, No. 16, pp. 3623--3640, November 2001.

  998. Dirk De Pauw. Optimal Experimental Design for Calibration of Bioprocess Models: A Validated Software Toolbox, PhD thesis, Faculteit Bio-Ingenieurswetenschappen, Universiteit Gent, Belgium, 2005 (abstract).

  999. 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 .

  1000. 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 .

  1001. 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.

  1002. 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.

  1003. 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.

  1004. 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.

  1005. 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.

  1006. Kalyanmoy Deb. Multi-Objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems, Evolutionary Computation, 7(3):205-230, Fall 1999.

  1007. Kalyanmoy Deb. Multi-Objective Evolutionary Algorithms: Introducing Bias Among Pareto-Optimal Solutions KanGAL report 99002, Indian Institute of Technology, Kanpur, India, 1999.

  1008. Kalyanmoy Deb, Samir Agrawal, Amrit Pratab 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.

  1009. 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.

  1010. Kalyanmoy Deb and T. Meyarivan. Constrained Test Problems for Multi-Objective Evolutionary Optimization, KanGAL report 200005, Indian Institute of Technology, Kanpur, India, 2000

  1011. 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

  1012. Kalyanmoy Deb and Tushar Goyal. Multi-Objective Evolutionary Algorithms for Engineering Shape Design, KanGAL report 200003, Indian Institute of Technology, Kanpur, India, 2000

  1013. 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

  1014. Kalyanmoy Deb, Samir Agrawal, Amrit Pratab 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

  1015. Kalyanmoy Deb, Amrit Pratab 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

  1016. 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

  1017. 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

  1018. 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

  1019. 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

  1020. Kalyanmoy Deb. Nonlinear goal programming using multi-objective genetic algorithms, Journal of the Operational Research Society, Vol. 52, No. 3, pp. 291--302, 2001

  1021. Kalyanmoy Deb. Multi-Objective Optimization using Evolutionary Algorithms, John Wiley & Sons, Chichester, UK, 2001, ISBN 0-471-87339-X.

  1022. 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.

  1023. 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.

  1024. 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.

  1025. 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.

  1026. 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 .

  1027. 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 .

  1028. 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 .

  1029. Kalyanmoy Deb. Unveiling innovative design principles by means of multiple conflicting objectives, Engineering Optimization, Vol. 35, No. 5, pp. 445--470, October 2003 .

  1030. 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.

  1031. 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.

  1032. 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.

  1033. 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.

  1034. 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.

  1035. 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.

  1036. 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 .

  1037. 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 .

  1038. 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 .

  1039. 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 .

  1040. 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 .

  1041. 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.

  1042. 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 .

  1043. 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 .

  1044. 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 .

  1045. 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 .

  1046. 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 .

  1047. 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 .

  1048. Kalyanmoy Deb and Himanshu Gupta. Introducing robustness in multi-objective optimization, Evolutionary Computation, Vol. 14, No. 4, pp. 463--494, Winter 2006.

  1049. 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 .

  1050. 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 .

  1051. 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 .

  1052. 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 .

  1053. 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 .

  1054. 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 .

  1055. 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 .

  1056. 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.

  1057. 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.

  1058. 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.

  1059. 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 .

  1060. 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 .

  1061. 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 .

  1062. 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 .

  1063. 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.

  1064. 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.

  1065. 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.

  1066. 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.

  1067. 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 .

  1068. 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 .

  1069. 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 .

  1070. 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.

  1071. 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.

  1072. S. Dedieu, L. Pibouleau, C. Azzaro-Pantel and S. Domenech, Design and retrofit of multiobjective batch plants via a multicriteria genetic algorithm, Computers & Chemical Engineering, Vol. 27, No. 12, pp. 1723--1740, December 15, 2003 .

  1073. Farzad Dehghanian and Saeed Mansour. Designing sustainable recovery network of end-of-life products using genetic algorithm, Resources Conservation and Recycling, Vol. 53, No. 10, pp. 559--570, August 2009 .

  1074. Satchidananda Dehuri, Susmita Ghosh and Ashish Ghosh. Genetic Algorithm for Optimization of Multiple Objectives in Knowledge Discovery from Large Databases, in Ashish Ghosh, Satchidananda Dehuri and Susmita Ghosh, editors, Multi-objective Evolutionary Algorithms for Knowledge Discovery from Data Bases, pp. 1--22, Springer, Berlin, 2008, ISBN 978-3-540-77466-2 .

  1075. Satchidananda Dehuri, Ashish Ghosh and Rajib Mall. Genetic Algorithms for Multi-Criterion Classification and Clustering in Data Mining, International Journal of Computing & Information Sciences, Vol. 4, No. 3, pp. 143--154, December 2006.

  1076. S. Dehuri, S. Patnaik, A. Ghosh and R. Mall. Application of elitist multi-objective genetic algorithm for classification rule generation, Applied Soft Computing, Vol. 8, No. 1, pp. 477--487, January 2008 .

  1077. S. Dehuri and S.-B. Cho. Multi-criterion Pareto based particle swarm optimized polynomial neural network for classification: A review and state-of-the-art, Computer Science Review, Vol. 3, No. 1, pp. 19-40, February, 2009.

  1078. I.M. Delamer and J.L.M. Lastra. Evolutionary multi-objective optimization of QoS-Aware Publish/Subscribe Middleware in electronics production, Engineering Applications of Artificial Intelligence, Vol. 19, No. 6, pp. 593--607, September 2006 .

  1079. Miguel Delgado, Manuel P. Cuellar and Maria Carmen Pegalajar. Multiobjective hybrid optimization and training of recurrent neural Networks, IEEE Transactions on Systems, Man and Cybernetics--Part B: Cybernetics, Vol. 38, No. 2, pp. 381--403, April 2008 .

  1080. C. Del Grosso, G. Antoniol, E. Merlo and P. Galinier. Detecting buffer overflow via automatic test input data generation, Computers & Operators Research, Vol. 35, No. 10, pp. 3125-3143, October 2008.

  1081. María José del Jesus, Pedro González and Francisco Herrera. Multiobjective Genetic Algorithm for Extracting Subgroup Discovery Fuzzy Rules, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 50--57, IEEE Press, Honolulu, Hawaii, USA, April 2007 .

  1082. María José del Jesus, Pedro González and Francisco Herrera. Subgroup Discovery with Linguistic Rules, in Humberto Bustince Sola, Francisco Herrera and Javier Montero (editors), Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, pp. 411--430, Springer. Studies in Fuzziness and Soft Computing, Vol. 220, 2008.

  1083. G. Dellino, P. Lino, C. Meloni and A. Rizzo. Enhanced Evolutionary Algorithms for Multidisciplinary Design Optimization: A Control Engineering Perspective, in Crina Grosan, Ajith Abraham and Hisao Ishibuchi (editors), Hybrid Evolutionary Algorithms, pp. 39--76, Springer, Heidelberg, 2007.

  1084. G. Dellino, P. Lino, C. Meloni and A. Rizzo. Kriging metamodel management in the design optimization of a CNG injection system, Mathematics and Computers in Simulation, Vol. 79, No. 8, pp. 2345--2360, April 2009 .

  1085. Gul Nildem Demir, A. Sima Uyar and Sule Oguducu. Graph-based Sequence Clustering through Multiobjective Evolutionary Algorithms for Web Recommender System, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 1943--1950, Vol. 2, ACM Press, London, UK, July 2007.

  1086. G. Nildem Demir, A. Sima Uyar and Sule Gündüz-Ögüdücü. Multiobjective evolutionary clustering of Web user sessions: a case study in Web page recommendation, Soft Computing - A Fusion of Foundations, Methodologies and Applications, Vol. 14, No. 6, pp. 579-597, January, 2010 .

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  1090. Venkat Devireddy and Patrick Reed. Efficient and Reliable Evolutionary Multiobjective Optimization Using epsilon-Dominance Archiving and Adaptive Population Sizing, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 390--391, Seattle, Washington, USA, June 2004.

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  1092. Rinku Dewri, Nayot Poolsappasit, Indrajit Ray and Darrell Whitley. Optimal Security Hardening using Multi-objective Optimization on Attack Tree Models of Networks, in Peng Ning, Sabrina De Capitani di Vimercati, and Paul F. Syverson (editors), 2007 ACM Conference on Computer and Communications Security (CCS'07), pp. 204-213, ACM, Alexandria, Virginia, USA, October 28-31, 2007. ISBN 978-1-59593-703-2.

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  1098. P. Di Barba, M. Farina and A. Savini. Vector Shape Optimisation of an Electrostatic Micromotor using a Genetic Algorithm, COMPEL International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Vol. 19, No. 2, pp. 576--581, 2000.

  1099. P. Di Barba, M. Farina and A. Savini. Multiobjective Design Optimization of Real-Life Devices in Electrical Engineering: A Cost-Effective Evolutionary Approach. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 560-573. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

  1100. P. Di Barba, M. Farina and A. Savini. An improved technique for enhancing diversity in Pareto evolutionary optimization of electromagnetic devices, COMPEL International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Vol. 20, No. 2, pp. 482--496, 2001.

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