Collections on Evolutionary Multiobjective Optimization

Maintained by

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

Last Update: June 21th, 2017

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


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

    A

  1. Hussein Abbass. Pareto-Optimal Approaches to Neuro-Ensemble Learning, in Yaochu Jin (Editor), Multi-Objective Machine Learning, pp. 407--427, Springer. Studies in Computational Intelligence, Volume 16, Berlin, 2006 (abstract).
  2. Mohammad A. Abido. Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem, in Christine L. Mumford and Lakhmi C. Jain (editors), Computational Intelligence Collaboration, Fusion and Emergence, pp. 47--82, Springer, Studies in Computational Intelligence (SCI), Berlin, ISBN 978-3-642-01799-5, 2009 (abstract).
  3. M. A. Abido. Multiobjective Particle Swarm Optimization for Optimal Power Flow Problem, in Bijaya Ketan Panigrahi, Yuhui Shi and Meng-Hiot Lim (editors), Handbook of Swarm Intelligence. Concepts, Principles and Applications, pp. 241--268, Springer-Verlag, Belin, Germany, 2011. ISBN 978-3-642-17389-9 (abstract).
  4. 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 .
  5. Ajith Abraham, Hongbo Liu, Crina Grosan and Fatos Xhafa. Nature Inspired Meta-heuristics for Grid Scheduling: Single and Multi-objective Optimization Approaches, in Fatos Xhafa and Ajith Abraham (editors), Metaheuristics for Scheduling in Distributed Computing Environments, pp. 247--272, Berlin, Germany, Springer. Studies in Computational Intelligence Vol. 146, 2008 (abstract).
  6. Salem F. Adra and Peter F. Fleming. A Diversity Management Operator for Evolutionary Many-Objective Optimisation, in Matthias Ehrgott, Carlos M. Fonseca, Xavier Gandibleux, Jin-Kao Hao and Marc Sevaux (editors), Evolutionary Multi-Criterion Optimization. 5th International Conference, EMO 2009, pp. 81--94, Springer. Lecture Notes in Computer Science Vol. 5467, Nantes, France, April 2009 (abstract).
  7. Salem F. Adra, Ian Griffin and Peter J. Fleming. A Convergence Acceleration Technique for Multiobjective Optimisation, in Chi-Keong Goh, Yew-Soon Ong, and Kay Chen Tan (editors), Multi-Objective Memetic Algorithms, chapter 9, pp. 183--205, Springer, Studies in Computational Intelligence, Vol. 171, Berlin, Germany, 2009. ISBN 978-3-540-88050-9 (abstract).
  8. Manoj Agarwal, Lovekesh Vig and Naveen Kumar. Multi-objective Robot Coalition Formation for Non-additive Environments, in Sabina Jeschke, Honghai Liu and Daniel Schilberg (editors), Intelligent Robotics and Applications, 4th International Conference, ICIRA 2011, pp. 346--355, Springer. Lecture Notes in Artificial Intelligence Vol. 7101, Aachen, Germany, December 6-8, 2011 (abstract).
  9. Hadi Aghassi, Sedigheh Nader Abadi and Emad Roghanian. A Multi-objective Genetic Algorithm for Optimization Time-Cost Trade-off Scheduling, in Dickson Lukose, Abdul Rahim Ahmad and Azizah Suliman (editors), Knowledge Technology, Third Knowledge Technology Week, KTW 2011, pp. 356--359, Springer. Communications in Computer and Information Science Vol. 295, Kajang, Malaysia, July 18-22, 2011 (abstract).
  10. 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, pp. 501--515. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 (abstract).
  11. Hernán Aguirre and Kiyoshi Tanaka. Robust Optimization by ε-Ranking on High Dimensional Objective Spaces, in Xiaodong Li, Michael Kirley, Mengjie Zhang, David G. Green, Victor Ciesielski, Hussein A. Abbass, Zbigniew Michalewicz, Tim Hendtlass, Kalyanmoy Deb, Kay Chen Tan, Jürgen Branke and Yuhui Shi (editors), Simulated Evolution and Learning, 7th International Conference, SEAL 2008, pp. 421--431, Springer. Lecture Notes in Computer Science Vol. 5361, Melbourne, Australia, December 7-10, 2008 (abstract).
  12. 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 (abstract).
  13. Hernán Aguirre and Kiyoshi Tanaka. A Hybrid Scalarization and Adaptive ε-Ranking Strategy for Many-Objective Optimization. in Robert Schaefer, Carlos Cotta, Joanna Kolodziej and Günter Rudolph, (editors), Parallel Problem Solving from Nature--PPSN XI, 11th International Conference, Proceedings, Part II, pp. 11--20, Springer, Lecture Notes in Computer Science Vol. 6239, Kraków, Poland, September, 2010 (abstract).
  14. Hernán Aguirre, Akira Oyama and Kiyoshi Tanaka. Adaptive ε-Sampling and ε-Hood for Evolutionary Many-Objective Optimization, in Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco and Jane Shaw (editors), Evolutionary Multi-Criterion Optimization, 7th International Conference, EMO 2013, pp. 322--336, Springer. Lecture Notes in Computer Science Vol. 7811, Sheffield, UK, March 19-22 (abstract).
  15. Hernán Aguirre, Arnaud Liefooghe, Sébastien Verel and Kiyoshi Tanaka. An Analysis on Selection for High-Resolution Approximations in Many-Objective Optimization, in Thomas Bartz-Beielstein, Jürgen Branke, Bogdan Filipic and Jim Smith (editors), Parallel Problem Solving from Nature - PPSN XIII, 13th International Conference, pp. 487--497, Springer. Lecture Notes in Computer Science Vol. 8672, Ljubljana, Slovenia, September 13-17, 2014 (abstract).
  16. Hernán Aguirre, Yuki Yazawa, Akira Oyama and Kiyoshi Tanaka. Extending AΕ SΕ H from Many-objective to Multi-objective Optimization, in Grant Dick, Will N. Browne, Peter Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan and Ke Tang (editors), Simulated Evolution and Learning, 10th International Conference, SEAL 2014, pp. 239--250, Springer. Lecture Notes in Computer Science Vol. 8886, Dunedin, New Zealand, December 15-18, 2014 (abstract).
  17. Hernán Aguirre, Saúl Zapotecas, Arnaud Liefooghe, Sébastien Verel and Kiyoshi Tanaka. Approaches for Many-Objective Optimization: Analysis and Comparison on MNK-Landscapes, in Stéphane Bonnevay, Pierrick Legrand, Nicolas Monmarché, Evelyne Lutton and Marc Schoenauer (Eds.), Artificial Evolution, 12th International Conference, Evolution Artificielle, EA 2015, pp. 14--28, Springer. Lecture Notes in Computer Science Vol. 9554, Lyon, France, October 26-28, 2015 (abstract).
  18. Faez Ahmed and David Purdy. Controller Design of Active Suspension System with Terrain Preview Using Evolutionary Multi-objective Algorithms, in Kusum Deep, Atulya Nagar, Millie Pant and Jagdish Chand Bansal (editors), Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011), pp. 865--876, Springer. Advances in Intelligent and Soft Computing Vol. 131, December 20-22, 2011 (abstract).
  19. A. Ahuja, S. Das and A. Pahwa. An AIS-ACO Hybrid Approach for Multi-Objective Distribution System Reconfiguration, in Bijaya Ketan Panigrahi, Ajith Abraham and Swagatam Das (editors), Computational Intelligence in Power Engineering, pp. 19--73, Springer, Studies in Computational Intelligence Vol. 302, Berlin, Germany, 2010, ISBN 978-3-642-14012-9 (abstract).
  20. 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 (abstract).
  21. Heyam Al-Baity, Souham Meshoul and Ata Kaban. Constrained Multi-objective Optimization Using a Quantum Behaved Particle Swarm, in Tingwen Huang, Zhigang Zeng, Chuandong Li and Chi Sing Leung (editors), Neural Information Processing, 19th International Conference, ICONIP 2012, pp. 456--464, Springer. Lecture Notes in Computer Science Vol. 7665, Doha, Qatar, November 12-15, 2012, ISBN 978-3-642-34486-2 (abstract).
  22. Wissam A. Albukhanajer, Yaochu Jin, Johann A. Briffa and Godfried Williams. A Comparative Study of Multi-objective Evolutionary Trace Transform Methods for Robust Feature Extraction, in Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco and Jane Shaw (editors), Evolutionary Multi-Criterion Optimization, 7th International Conference, EMO 2013, pp. 573--586, Springer. Lecture Notes in Computer Science Vol. 7811, Sheffield, UK, March 19-22 (abstract).
  23. 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 (abstract).
  24. Rafael Frederico Alexandre, Felipe Campelo, Carlos M. Fonseca and João Antônio de Vasconcelos. A Comparative Study of Algorithms for Solving the Multiobjective Open-Pit Mining Operational Planning Problems, in António Gaspar-Cunha, Carlos Henggeler Antunes and Carlos Coello Coello (editors), Evolutionary Multi-Criterion Optimization, 8th International Conference, EMO 2015, pp. 433--447, Springer. Lecture Notes in Computer Science Vol. 9019, Guimarães, Portugal, March 29 - April 1, 2015 (abstract).
  25. Richard Allmendinger and Joshua Knowles. ‘Hang On a Minute’: Investigations on the Effects of Delayed Objective Functions in Multiobjective Optimization, in Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco and Jane Shaw (editors), Evolutionary Multi-Criterion Optimization, 7th International Conference, EMO 2013, pp. 6--20, Springer. Lecture Notes in Computer Science Vol. 7811, Sheffield, UK, March 19-22, 2013 (abstract).
  26. Richard Allmendinger and Suzanne S. Farid. A Multiobjective Evolutionary Optimization Framework for Protein Purification Process Design, in Thomas Bartz-Beielstein, Jürgen Branke, Bogdan Filipic and Jim Smith (editors), Parallel Problem Solving from Nature - PPSN XIII, 13th International Conference, pp. 498--507, Springer. Lecture Notes in Computer Science Vol. 8672, Ljubljana, Slovenia, September 13-17, 2014 (abstract).
  27. Richard Allmendinger, Spyridon Gerontas, Nigel J. Titchener-Hooker and Suzanne S. Farid. Tuning Evolutionary Multiobjective Optimization for Closed-Loop Estimation of Chromatographic Operating Conditions, in Thomas Bartz-Beielstein, Jürgen Branke, Bogdan Filipic and Jim Smith (editors), Parallel Problem Solving from Nature - PPSN XIII, 13th International Conference, pp. 741--750, Springer. Lecture Notes in Computer Science Vol. 8672, Ljubljana, Slovenia, September 13-17, 2014 (abstract).
  28. Pavel A. Álvarez, Danielle C. Morais, Juan C. Leyva and Adiel T. Almeida. A Multi-objective Genetic Algorithm for Inferring Inter-criteria Parameters for Water Supply Consensus, in António Gaspar-Cunha, Carlos Henggeler Antunes and Carlos Coello Coello (editors), Evolutionary Multi-Criterion Optimization, 8th International Conference, EMO 2015, pp. 218--233, Springer. Lecture Notes in Computer Science Vol. 9019, Guimarães, Portugal, March 29 - April 1, 2015 (abstract).
  29. Maria João Alves and João Paulo Costa. An Evolutionary Algorithm to Estimate the Nadir Point in MOLP, 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. 540--553, Springer. Lecture Notes in Computer Science Vol. 5467, Nantes, France, April 2009 (abstract).
  30. Maria João Alves. Using MOPSO to Solve Multiobjective Bilevel Linear Problems, in Marco Dorigo, Mauro Birattari, Christian Blum, Anders Lyhne Christensen, Andries P. Engelbrecht, Roderich Groβ and Thomas Stützle (editors), Swarm Intelligence, 8th International Conference, ANTS 2012, pp. 332--339, Springer. Lecture Notes in Computer Science Vol. 7461, Brussels, Belgium, September 12-14, 2012 (abstract).
  31. P. Amato and M. Farina. An ALife-Inspired Evolutionary Algorithm for Dynamic Multiobjective Optimization Problems, in F. Hoffmann, M. Köppen, F. Klawonn and R. Roy (editors), Advances in Soft Computing, Springer, pp. 113--125, 2005 (abstract).
  32. Lionel Amodeo, Haoxun Chen and Aboubacar El Hadji. Supply Chain Inventory Optimisation with Multiple Objectives: An Industrial Case Study, in Andreas Fink and Franz Rothlauf (editors), Advances in Computational Intelligence in Transport, Logistics and Supply Chain Management, pp. 211--230, Springer, Studies in Computational Intelligence Vol. 144, 2008 (abstract).
  33. Lionel Amodeo, Christian Prins and David Ricardo Sánchez. Comparison of Metaheuristic Approaches for Multi-objective Simulation-Based Optimization in Supply Chain Inventory Management. in Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Gianni A. Di Caro, Anikó Ekárt, Anna Isabel Esparcia-Alcázar, Muddassar Farooq, Andreas Fink and Penousal Machado, (editors), Applications of Evolutionary Computing (EvoWorkshops 2009), pp. 798--807, Springer, Lecture Notes in Computer Science, Vol. 5484, Heidelberg, Germany, 2009 (abstract).
  34. Johan Andersson and Petter Krus. Multiobjective Optimization of Mixed Variable Design Problems, In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 624--638, Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 (abstract).
  35. Johan Andersson. Design of Fluid Power Systems using a Multi Objective Genetic Algorithm, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 483--503, World Scientific, Singapore, 2004 (abstract).
  36. Johan Andersson. Sensitivity Analysis in Multi-Objective Evolutionary Design, in Kay Chen Tan, Meng Hiot Lim, Xin Yao and Lipo Wang, (editors), Recent Advances in Simulated Evolution and Learning, pp. 386-405, World Scientific, Singapore, 2004 (abstract).
  37. Martin Andersson, Sunith Bandaru, Amos Ng and Anna Syberfeldt. Parameter Tuning of MOEAs Using a Bilevel Optimization Approach, in António Gaspar-Cunha, Carlos Henggeler Antunes and Carlos Coello Coello (editors), Evolutionary Multi-Criterion Optimization, 8th International Conference, EMO 2015, pp. 233--247, Springer. Lecture Notes in Computer Science Vol. 9018, Guimarães, Portugal, March 29 - April 1, 2015 (abstract).
  38. Kiam Heong Ang, Gregory Chong and Yun Li. Visualization Technique for Analyzing Non-dominant Pareto Optimality, in Kay Chen Tan, Meng Hiot Lim, Xin Yao and Lipo Wang (editors), Recent Advances in Simulated Evolution and Learning, pp. 327--346, World Scientific, Singapore, 2004 (abstract).
  39. Ji Hua Ang, Chi Keong Goh, Eu Jin Teoh and Kay Chen Tan. Designing a Recurrent Neural Network-based Controller for Gyro-Mirror Line-of-Sight Stabilization System using an Artificial Immune Algorithm, in Lakhmi C. Jain, Vasile Palade and Dipti Srinivasan (editors), Advances in Evolutionary Computing for System Design, pp. 189--209, Springer, Studies in Computational Intelligence, Volume 66, Berlin, 2007 (abstract).
  40. Daniel Angus. Population-Based Ant Colony Optimisation for Multi-objective Function Optimisation. in Marcus Randall, Hussein A. Abbass and Janet Wiles, (editors), Progress in Artificial Life, Third Australian Conference (ACAL'2007), pp. 232--244, Springer. Lecture Notes in Computer Science, Vol. 4828, Gold Coast, Australia, 2007 (abstract).
  41. Daniel Angus and Adam Deller. Computational Intelligence in Radio Astronomy: Using Computational Intelligence Techniques to Tune Geodesy Models, in Xiaodong Li, Michael Kirley, Mengjie Zhang, David G. Green, Victor Ciesielski, Hussein A. Abbass, Zbigniew Michalewicz, Tim Hendtlass, Kalyanmoy Deb, Kay Chen Tan, Jürgen Branke and Yuhui Shi (editors), Simulated Evolution and Learning, 7th International Conference, SEAL 2008, pp. 615--624, Springer. Lecture Notes in Computer Science Vol. 5361, Melbourne, Australia, December 7-10, 2008 (abstract).
  42. Daniel Angus. Niching for Ant Colony Optimisation, in Andrew Lewis, Sanaz Mostaghim and Marcus Randall (editors), Biologically-Inspired Optimisation Methods, pp. 165--188, Springer, Studies in Computational Intelligence, Vol. 210, 2009, ISBN 978-3-642-01261-7 (abstract).
  43. Michela Antonelli, Pietro Ducange and Francesco Marcelloni. Multi-Objective Evolutionary Design of Fuzzy Rule-Based Systems, in Plamen Parvanov Angelov (editor), Handbook on Computational Intelligence, Volume 2: Evolutionary Computation, Hybrid Systems, and Applications, Chapter 18, pp. 635--670, World Scientific, Singapore, 2016, ISBN 978-981-4675-04-8.
  44. Luis Miguel Antonio and Carlos A. Coello Coello. Decomposition-Based Approach for Solving Large Scale Multi-objective Problems, in Julia Handl, Emma Hart, Peter R. Lewis, Manuel López-Ibáñez, Gabriela Ochoa and Ben Paechter (Editors), Parallel Problem Solving from Nature -- PPSN XIV, 14th International Conference, pp. 525--534, Springer. Lecture Notes in Computer Science Vol. 9921, Edinburgh, UK, September 17-21, 2016, ISBN 978-3-319-45822-9 (abstract).
  45. L. Araujo. Multiobjective Genetic Programming for Natural Language Parsing and Tagging, in Thomas Philip Runarsson, Hans-Georg Beyer, Edmund Burke, Juan J. Merelo-Guervós, L. Darrell Whitley and Xin Yao (editors), Parallel Problem Solving from Nature - PPSN IX, 9th International Conference, pp. 433--442, Springer. Lecture Notes in Computer Science Vol. 4193, Reykjavik, Iceland, September 2006 (abstract).
  46. Dídac Rodríguez Arbonès, Boyin Ding, Nataliia Y. Sergiienko and Markus Wagner. Fast and Effective Multi-Objective Optimisation of Submerged Wave Energy Converters, in Julia Handl, Emma Hart, Peter R. Lewis, Manuel López-Ibáñez, Gabriela Ochoa and Ben Paechter (Editors), Parallel Problem Solving from Nature -- PPSN XIV, 14th International Conference, pp. 675--686, Springer. Lecture Notes in Computer Science Vol. 9921, Edinburgh, UK, September 17-21, 2016, ISBN 978-3-319-45822-9 (abstract).
  47. Andrea Arcuri, David Robert White, John Clark and Xin Yao. Multi-objective Improvement of Software Using Co-evolution and Smart Seeding, in Xiaodong Li, Michael Kirley, Mengjie Zhang, David Green, Vic Ciesielski, Hussein Abbass, Zbigniew Michalewicz, Tim Hendtlass, Kalyanmoy Deb, Kay Chen Tan, Jürgen Branke and Yuhui Shi (editors), Simulated Evolution and Learning, 7th International Conference, SEAL 2008, pp. 61--70, Springer. Lecture Notes in Computer Science Vol. 5361, Melbourne, Australia, December 7-10, 2008 (abstract).
  48. Alfredo Arias Montaño and Carlos A. Coello Coello. pMODE-LS+SS: An Effective and Efficient Parallel Differential Evolution Algorithm for Multi-Objective Optimization, in Robert Schaefer, Carlos Cotta, Joanna Kolodziej and Günter Rudolph (Editors), Parallel Problem Solving from Nature--PPSN XI, 11th International Conference, Proceedings, Part II, pp. 21--30, Springer, Lecture Notes in Computer Science Vol. 6239, Kraków, Poland, September 2010 (abstract).
  49. Alfredo Arias Montaño, Carlos A. Coello Coello and Efrén Mezura-Montes. Evolutionary Algorithms Applied to Multi-Objective Aerodynamic Shape Optimization, in Slawomir Koziel and Xin-She Yang (editors), Computational Optimization, Methods and Algorithms, Chapter 10, pp. 211--240, Springer, Berlin, Germany, 2011, ISBN 978-3-642-20858-4 (abstract).
  50. Alfredo Arias Montaño, Carlos A. Coello Coello and Oliver Schütze. Multiobjective Optimization for Space Mission Design Problems, in Massimilano Vasile and Victor M. Becerra (Editors), Computational Intelligence in Aerospace Sciences, pp. 1--46, AIAA Press, Progress in Astronautics and Aeronautics Vol. 244, Reston, Virginia, USA, 2014, ISBN 978-1-62410-260-8 (abstract).
  51. Rolando Armas, Hernán Aguirre, Saúl Zapotecas-Martínez and Kiyoshi Tanaka. Traffic Signal Optimization: Minimizing Travel Time and Fuel Consumption, in Stéphane Bonnevay, Pierrick Legrand, Nicolas Monmarché, Evelyne Lutton and Marc Schoenauer (Eds.), Artificial Evolution, 12th International Conference, Evolution Artificielle, EA 2015, pp. 29--43, Springer. Lecture Notes in Computer Science Vol. 9554, Lyon, France, October 26-28, 2015 (abstract).
  52. Ragnar Arnason. Fisheries Management, in Andrés Weintraub, Carlos Romero, Trond Bjorndal, Rafael Epstein and Jaime Miranda (editors), Handbook of Operations Research in Natural Resources, pp. 157--179, Springer, International Series in Operations Research & Management Science Vol. 99, Berlin, 2007 (abstract).
  53. María Arsuaga-Ríos, Miguel A. Vega-Rodríguez and Francisco Prieto-Castrillo. Multi-Objective Artificial Bee Colony for Scheduling in Grid Environments, in 2011 IEEE Symposium on Swarm Intelligence (SIS 2011), pp. 206--212, IEEE Press, Paris, France, April 11-15, 2011 (abstract).
  54. María Arsuaga-Ríos and Francisco Prieto-Castrillo and Miguel A. Vega-Rodríguez. Small-World Optimization Applied to Job Scheduling on Grid Environments from a Multi-Objective Perspective, in Cecilia Di Chio et al. (editors), Applications of Evolutionary Computation, EvoApplications 2012: EvoCOMNET, EvoCOMPLEX, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoNUM, EvoPAR, EvoRISK, EvoSTIM, and EvoSTOC, pp. 42--51, Springer. Lecture Notes in Computer Science Vol. 7248, Málaga, Spain, April 11-13, 2012 (abstract).
  55. María Arsuaga-Ríos and Miguel A. Vega-Rodríguez. Multi-objective Firefly Algorithm for Energy Optimization in Grid Environments, in Marco Dorigo, Mauro Birattari, Christian Blum, Anders Lyhne Christensen, Andries P. Engelbrecht, Roderich Groβ and Thomas Stützle (editors), Swarm Intelligence, 8th International Conference, ANTS 2012, pp. 350--351, Springer. Lecture Notes in Computer Science Vol. 7461, Springer. Lecture Notes in Computer Science Vol. 7461, Brussels, Belgium, September 12-14, 2012 (abstract).
  56. Md Asafuddoula, Tapabrata Ray and Ruhul Sarker. A Decomposition Based Evolutionary Algorithm for Many Objective Optimization with Systematic Sampling and Adaptive Epsilon Control, in Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco and Jane Shaw (editors), Evolutionary Multi-Criterion Optimization, 7th International Conference, EMO 2013, pp. 413--427, Springer. Lecture Notes in Computer Science Vol. 7811, Sheffield, UK, March 19-22, 2013 (abstract).
  57. Giueppe Ascia, Vincenzo Catania, Alessandro G. Di Nuovo, Maurizio Palesi and Davide Patti. Computational Intelligence to Speed-Up Multi-Objective Design Space Exploration of Embedded Systems, In Lam Thu Bui and Sameer Alam, editors, Multi-Objective Optimization in Computational Intelligence: Theory and Practice, pp. 265--299, Information Science Reference, Hershey, PA, USA, 2008, ISBN 978-1-59904-498-9 (abstract).
  58. S.S. Askar and A. Tiwari. Multi-Objective Optimisation Problems: A Symbolic Algorithm for Performance Measurement of Evolutionary Computing Techniques, 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. 169--182, Springer. Lecture Notes in Computer Science Vol. 5467, Nantes, France, April 2009 (abstract).
  59. Tehseen Aslam, Philip Hedenstierna, Amos H. C. Ng and Lihui Wang. Multi-Objective Optimisation in Manufacturing Supply Chain Systems Design: A Comprehensive Survey and New Directions, in Lihui Wang, Amos H. C. Ng and Kalyanmoy Deb (editors), Multi-objective Evolutionary Optimisation for Product Design and Manufacturing, Chapter 2, pp. 35--70, Springer, London, UK, 2011, ISBN 978-0-85729-617-7 (abstract).
  60. Fernando Asteasuain, Jessica A. Carballido, Gustavo E. Vazquez and Ignacio Ponzoni. Using Computational Intelligence and Parallelism to Solve an Industrial Design Problem, in Jaime Simãao Sichman, Helder Coelho and Solange Oliveira Rezende (editors), Advances in Artificial Intelligence - IBERAMIA-SBIA 2006, 2nd International Joint Conference, 10th Ibero-American Conference on AI, 18th Brazilian AI Symposium, pp. 188--197, Springer. Lecture Notes in Artificial Intelligence Vol. 4140, Ribeirão Preto, Brazil, October 23-27, 2006 (abstract).
  61. Anne Auger, Johannes Bader and Dimo Brockhoff. Theoretically Investigating Optimal μ-Distributions for the Hypervolume Indicator: First Results for Three Objectives. in Robert Schaefer, Carlos Cotta, Joanna Kolodziej and Günter Rudolph (editors) Parallel Problem Solving from Nature--PPSN XI, 11th International Conference, Proceedings, Part I, pp. 586--596, Springer, Lecture Notes in Computer Science Vol. 6238, Kraków, Poland, September, 2010 (abstract).
  62. Prabhat Avasare, Chantal Ykman-Couvreur, Geert Vanmeerbeeck, Giovanni Mariani, Gianluca Palermo, Cristina Silvano and Vittorio Zaccaria. Design Space Exploration Supporting Run-Time Resource Management, in Cristina Silvano, William Fornaciari and Eugenio Villar (editors), Multi-objective Design Space Exploration of Multiprocessor SoC Architectures, The MULTICUBE Approach, Chapter 5, pp. 93--107, Springer, New York, USA, 2011, ISBN 978-1-4419-8836-2 (abstract).
  63. Gideon Avigad, Amiram Moshaiov and Neima Brauner. MOEA-Based Approach to Delayed Decisions for Robust Conceptual Design, in Franz Rothlauf et al. (editors), Applications of Evolutionary Computing. Evoworkshops 2005: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART and EvoSTOC, pp. 584--589, Springer. Lecture Notes in Computer Science Vol. 3449, Lausanne, Switzerland, March/April 2005 (abstract).
  64. Gideon Avigad. Evolutionary Multi-Multi-Objective Optimization - EMMOO, in Chi-Keong Goh, Yew-Soon Ong and Kay Chen Tan (editors), Multi-Objective Memetic Algorithms, chapter 1, pp. 3--26, Springer, Studies in Computational Intelligence, Vol. 171, Berlin, Germany, 2009, ISBN 978-3-540-88050-9 (abstract).
  65. Gideon Avigad, Erella Eisenstadt and Valery Y. Glizer. Evolving a Pareto Front for an Optimal Bi-Objective Robust Interception Problem with Imperfect Information, in Oliver Schütze, Carlos A. Coello Coello, Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Pierre Del Moral and Pierrick Legrand (editors), EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II, pp. 121--135, Springer, Advances in Intelligent Systems and Computing Vol. 175, Berlin, Germany, 2012, ISBN 978-3-642-31519-0 (abstract).
  66. Gideon Avigad, Erella Eisenstadt and Valery Y. Glizer. Solution of Multi-objective Min-Max and Max-Min Games by Evolution, in Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco and Jane Shaw (editors), Evolutionary Multi-Criterion Optimization, 7th International Conference, EMO 2013, pp. 246--260, Springer. Lecture Notes in Computer Science Vol. 7811, Sheffield, UK, March 19-22, 2013 (abstract).
  67. Radhia Azzouz, Slim Bechikh and Lamjed Ben Said. Dynamic Multi-objective Optimization Using Evolutionary Algorithms: A Survey, in Slim Bechikh, Rituparna Datta and Abhishek Gupta (Editors), Recent Advances in Evolutionary Multi-objective Optimization, pp. 31--70, Springer International Publishing, Switzerland, 2017, ISBN 978-3-319-42977-9 (abstract).
  68. B

  69. Norio Baba and Hisashi Handa. COMMONS GAME Made More Exciting by an Intelligent Utilization of the Two Evolutionary Algorithms, in Norio Baba, Lakhmi C. Jain and Hisashi Handa (editors), Advanced Intelligent Paradigms in Computer Games, pp. 1--17, Springer, Studies in Computational Intelligence Vol. 71, 2007 (abstract).
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  216. Guilherme P. Coelho and Fernando Von Zuben. Omni-aiNet: An Immune-inspired Approach for Omni Optimization, in Hughes Bersini and Jorge Carneiro (editors), Artificial Immune Systems, 5th International Conference, ICARIS 2006, Proceedings, pp. 294--308, Springer-Verlag, Lecture Notes in Computer Science Vol. 4163, Oeiras, Portugal, September 2006 (abstract).
  217. Guilherme P. Coelho, Ana Estela A. da Silva and Fernando J. Von Zuben. Evolving Phylogenetic Trees: A Multiobjective Approach, in Marie-France Sagot and Maria Emilia M.T. Walter (Editors), Second Brazilian Symposium on Bioinformatics, BSB 2007, pp. 113--125, Springer. Lecture Notes in Computer Science Vol. 4643, Angra dos Reis, Brazil, August 29-31, 2007, ISBN 978-3-540-73730-8 (abstract).
  218. Leandro dos Santos Coelho, Helon Vicente Hultmann Ayala, Nadia Nedjah and Luiza de Macedo Mourelle. Multiobjective Gaussian Particle Swarm Approach Applied to Multi-loop PI Controller Tuning of a Quadruple-Tank System. in Nadia Nedjah, Leandro dos Santos Coelho, and Luiza de Macedo de Mourelle, (editors), Multi-Objective Swarm Intelligent Systems. Theory & Experiences, chapter 1, pp. 1--16, Springer, Studies in Computational Intelligence, Vol. 261, Berlin, Germany, 2010, ISBN 978-3-642-05164-7 (abstract).
  219. Rajan Filomenho Coelho, Manuel Herrera, Manyu Xiao and Weihong Zhang. On-line Metamodel-Assisted Optimization with Mixed Variables, in Jorge Magalhães-Mendes and David Greiner (Editors), Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management, Chapter 1, pp. 1--15, Springer, Switzerland, 2015, ISBN 978-3-39-20405-5 (abstract).
  220. Carlos A. Coello Coello and Gregorio Toscano. A Micro-Genetic Algorithm for Multiobjective Optimization. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pp. 126--140. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 (abstract).
  221. Carlos A. Coello Coello. A Short Tutorial on Evolutionary Multiobjective Optimization. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 21--40. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 (abstract).
  222. Carlos A. Coello Coello. Evolutionary Multi-Objective Optimization: A Critical Review, in Ruhul Sarker, Masoud Mohammadian and Xin Yao (eds), Evolutionary Optimization, pp. 117--146, Kluwer Academic Publishers, New York, February 2002, ISBN 0-7923-7654-4 (abstract).
  223. Carlos A. Coello Coello and Carlos E. Mariano Romero. Evolutionary Algorithms and Multiple Objective Optimization, in Matthias Ehrgott and Xavier Gandibleux (editors), Multiple Criteria Optimization: State of the Art Annotated Bibliographic Surveys, pp. 277--331, Kluwer Academic Publishers, Boston, 2002 (abstract).
  224. Carlos A. Coello Coello and Gary B. Lamont. An Introduction to Multi-Objective Evolutionary Algorithms and Their Applications, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 1--28, World Scientific, Singapore, 2004 (abstract).
  225. Carlos A. Coello Coello. Recent Trends in Evolutionary Multiobjective Optimization, in Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors), Evolutionary Multiobjective Optimization: Theoretical Advances And Applications, pp. 7--32, Springer-Verlag, London, ISBN 1-85233-787-7, 2005 (abstract).
  226. 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 (abstract).
  227. 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 (abstract).
  228. 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 (abstract).
  229. Carlos A. Coello Coello, Clarisse Dhaenens and Laetitia Jourdan. Multi-Objective Combinatorial Optimization: Problematic and Context. in Carlos A. Coello Coello, Clarisse Dhaenens, and Laetitia Jourdan, (editors), Advances in Multi-Objective Nature Inspired Computing, chapter 1, pp. 1--21, Springer, Studies in Computational Intelligence, Vol. 272, Berlin, Germany, 2010, ISBN 978-3-642-11217-1 (abstract).
  230. Carlos A. Coello Coello. A Tutorial on Multi-Objective Optimization using Metaheuristics, in L.M. Esteban, B. Lacruz, F.J. López, P.M. Mateo, A. Pérez-Palomares, G. Sanz and C. Paroissin (editors), The Pyrenees International Workshop and Summer School on Statistics, Probability and Operations Research SPO 2009, pp. 19--38, Monografías Matemáticas "García de Galdeano" No. 36, Universidad de Zaragoza, Spain, December 2010, ISBN 978-84-15031-92-5 (abstract).
  231. Carlos A. Coello Coello. Fundamentals of Evolutionary Multi-Objective Optimization, in Bogdan M. Wilamowski and J. David Irwin (Editors), Industrial Electronics Handbook. Intelligent Systems, Second Edition, Chapter 25, pp. 25-1--25-11, CRC Press, Boca Raton, Florida, USA, 2011, ISBN 978-1-4398-0283-0 .
  232. Carlos A. Coello Coello. Evolutionary Multi-Objective Optimization: Basic Concepts and Some Applications in Pattern Recognition, in José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Cherif Ben-Youssef Brants and Edwin Robert Hancock (Editors), Pattern Recognition, Third Mexican Conference, MCPR 2011, pp. 22--33, Springer, Lecture Notes in Computer Science Vol. 6718, Cancun, México, June/July 2011 (abstract).
  233. 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.
  234. Iulia Maria Comsa, Crina Grosan and Shengxiang Yang. Dynamics in the Multi-objective Subset Sum: Analysing the Behavior of Population Based Algorithms, in Shengxiang Yang and Xin Yao (Editors), Evolutionary Computation for Dynamic Optimization Problems, Chapter 12, pp. 299--313, Springer-Verlag, Berlin, Germany, 2013, ISBN 978-3-642-38415-8 (abstract).
  235. Oscar Cordón and Arnaud Quirin and Rocío Romero-Zaliz. Multiple Ant Colony System for Substructure Discovery, in Marco Dorigo, Mauro Birattari, Gianni A. Di Caro, René Doursat, Andries P. Engelbrecht, Dario Floreano, Luca Maria Gambardella, Roderich Gross, Erol Sahin, Hiroki Sayama and Thomas Stützle, (editors), Swarm Intelligence. 7th International Conference, ANTS 2010, pp. 472--479, Springer, Lecture Notes in Computer Science Vol. 6234, Brussels, Belgium, September 8-10, 2010.
  236. Mario Costa, Edmondo Minisci and Eros Pasero. An Hybrid Neural/Genetic Approach to Continuous Multi-objective Optimization Problems. in Bruno Apolloni, Maria Marinaro, and Roberto Tagliaferri, (editors), Neural Nets, 14th Italian Workshop on Neural Nets, WIRN VIETRI 2003, pp. 61--69, Springer, Lecture Notes in Computer Science, Vol. 2859, Vietri sul Mare, Italy, June 4-7, 2003.
  237. Marcelo Azevedo Costa and Ant&ocicr;nio Pádua Braga. Gradient Descent Decomposition for Multi-objective Learning, in Hujun Yin, Wenjia Wang and Victor Rayward-Smith (editors), Intelligent Data Engineering and Automated Learning-IDEAL 2011, 12th International Conference, pp. 377--384, Springer. Lecture Notes in Computer Science Vol. 6936, Norwich, UK, September 7-9, 2011.
  238. M. Fernanda P. Costa, Ana Maria A.C. Rocha and Edite M.G.P. Fernandes. Combining Non-dominance, Objective-order and Spread Metric to Extend Firefly Algorithm to Multi-objective Optimization, in António Gaspar-Cunha, Carlos Henggeler Antunes and Carlos Coello Coello (editors), Evolutionary Multi-Criterion Optimization, 8th International Conference, EMO 2015, pp. 292--306, Springer. Lecture Notes in Computer Science Vol. 9018, Guimarães, Portugal, March 29 - April 1, 2015.
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  240. José António Covas and António Gaspar-Cunha. Polymer Extrusion—Setting the Operating Conditions and Defining the Screw Geometry, in António Gaspar-Cunha and José António Covas (editors), Optimization in Polymer Processing, Chapter 5, pp. 87--113, Nova Science Publishers, New York, USA, 2011, ISBN 978-1-61122-818-2 .
  241. Sam Craig, Lyndon While and Luigi Barone. Scheduling for the National Hockey League Using a Multi-objective Evolutionary Algorithm, in Ann Nicholson and Xiaodong Li (editors), AI 2009: Advances in Artificial Intelligence, 22nd Australasian Joint Conference, pp. 381--390, Springer. Lecture Notes in Artificial Intelligence Vol. 5866, Melbourne, Australia, December 1-4, 2009.
  242. 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.
  243. Laura Cruz-Reyes, Eduardo Fernandez, Claudia Gomez and Patricia Sanchez. Preference Incorporation into Evolutionary Multiobjective Optimization Using a Multi-Criteria Evaluation Method, in Oscar Castillo, Patricia Melin, Witold Pedrycz and Janusz Kacprzyk (editors), Recent Advances on Hybrid Approaches for Designing Intelligent Systems, Part IV, pp. 533--542, Springer. Studies in Computational Intelligence Vol. 547, 2014.
  244. Péter Cserti, Szabolcs Szondi, Balázs Gaál, György Kozmann and István Vassányi. GPU Based Parallel Genetic Algorithm Library, in Bogdan Filipic and Jurij Silc (editors), Bioinspired Optimization Methods and Their Applications, Proceedings of the Fifth International Conference on Bioinspired Optimization Methods and their Applications, BIOMA 2012, pp. 231--244, Jozef Stefan Institute, Bohinj, Slovenia, 24-25 May, 2012, ISBN 978-961-264-043-9.
  245. M. P. Cuéllar, M. Delgado and M. C. Pegalajar. Topology Optimization and Training of Recurrent Neural Networks with Pareto-Based Multi-objective Algorithms: A Experimental Study, in Francisco Sandoval Hernández, Alberto Prieto, Joan Cabestany, and Manuel Graña, (editors), Computational and Ambient Intelligence, 9th International Work-Conference on Artificial Neural Networks (IWANN 2007), pp. 359--366, Springer. Lecture Notes in Computer Science, Vol. 4507, Heidelberg, Germany, 2007.
  246. Vincenzo Cutello, Giuseppe Narzisi and Giuseppe Nicosia. A Class of Pareto Archived Evolution Strategy Algorithms Using Immune Inspired Operators for Ab-Initio Protein Structure Prediction, in Franz Rothlauf et al. (editors), Applications of Evolutionary Computing. Evoworkshops 2005: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART and EvoSTOC, pp. 54--63, Springer. Lecture Notes in Computer Science Vol. 3449, Lausanne, Switzerland, March/April 2005.
  247. 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 .
  248. Dragan Cvetkovic and Carlos A. Coello Coello. Human Preferences and Their Applications in Evolutionary Multi-Objective Optimization, in Yaochu Jin (editor), Knowledge Incorporation in Evolutionary Computation, Springer, pp. 479--502, Berlin Heidelberg, 2005, ISBN 3-540-22902-7 .
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  250. Madan Mohan Dabbeeru, Kalyanmoy Deb and Amitabha Mukerjee. Product Portfolio Selection of Designs Through an Analysis of Lower-Dimensional Manifolds and Identification of Common Properties, in Lihui Wang, Amos H.C. Ng and Kalyanmoy Deb (editors), Multi-objective Evolutionary Optimisation for Product Design and Manufacturing, Chapter 5, pp. 161--187, Springer, London, UK, 2011, ISBN 978-0-85729-617-7.
  251. S. D'Angelo, M. Fantetti and E. Minisci. Hang-Glider Wing Design by Genetic Optimization, in Tadeusz Burczynski and Andrzej Osyczka (editors), IUTAM Symposium on Evolutionary Methods in Mechanics, pp. 47--58, Kluwer Academic Publishers, Dordrecht/Boston/London, 2004, ISBN 1-4020-2266-2.
  252. Salvatore D'Angelo, Edmondo Minisci and Marco Dutto. Evolutionary Optimization of a Robust Controller for Flight Maneuvers, in Bogdan Filipic and Jurij Silc (editors), Bioinspired Optimization Methods and Their Applications. Proceedings of the International Conference on Bioinspired Optimization Methods and their Applications, BIOMA 2004, pp. 137--146, Jožef Stefan Institute, Ljubljana, Slovenia, October 2004.
  253. Ranajit Das, Sushmita Mitra, Haider Banka and Subhasis Mukhopadhyay. Evolutionary Biclustering with Correlation for Gene Interaction Networks, in Ashish Ghosh, Rajat K. De, and Sankar K. Pal (editors), Pattern Recognition and Machine Intelligence. Second International Conference (PReMI'2007), pp. 416-424, Springer, Lecture Notes in Computer Science, Vol. 4815, Kolkata, India, December 18-22 2007. ISBN 978-3-540-77045-9.
  254. Madhabananda Das and Satchidanandra Dehuri. Some Studies on Particle Swarm Optimization for Single and Multi-Objective Problems, in Satchidanada Dehuri, Susmita Ghosh and Sung Bae Cho (editors), Integration of Swarm Intelligence and Artificial Neural Network, pp. 239--304, Chapter 10, World Scientific, Singapore, 2011, ISBN 978-981-4280-14-3.
  255. 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 .
  256. Madeleine Davis-Moradkhan and Will Browne. Evolutionary Algorithms for the Multi Criterion Minimum Spanning Tree Problem. in Yoel Tenne and Chi-Keong Goh, (editors), Computational Intelligence in Expensive Optimization Problems, pp. 423--452, Springer, Berlin, Germany, 2010. ISBN 978-3-642-10700-9.
  257. 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 .
  258. Bilel Derbel, Dimo Brockhoff and Arnaud Liefooghe. Force-Based Cooperative Search Directions in Evolutionary Multi-objective Optimization, in Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco and Jane Shaw (editors), Evolutionary Multi-Criterion Optimization, 7th International Conference, EMO 2013, pp. 383--397, Springer. Lecture Notes in Computer Science Vol. 7811, Sheffield, UK, March 19-22, 2013.
  259. Bilel Derbel, Dimo Brockhoff, Arnaud Liefooghe and Sébastien Verel. On the Impact of Multiobjective Scalarizing Functions, in Thomas Bartz-Beielstein, Jürgen Branke, Bogdan Filipic and Jim Smith (editors), Parallel Problem Solving from Nature - PPSN XIII, 13th International Conference, pp. 548--558, Springer. Lecture Notes in Computer Science Vol. 8672, Ljubljana, Slovenia, September 13-17, 2014.
  260. Bilel Derbel, Arnaud Liefooghe, Qingfu Zhang, Hernan Aguirre and Kiyoshi Tanaka. Multi-Objective Local Search Based on Decomposition, in Julia Handl, Emma Hart, Peter R. Lewis, Manuel López-Ibáñez, Gabriela Ochoa and Ben Paechter (Editors), Parallel Problem Solving from Nature -- PPSN XIV, 14th International Conference, pp. 431--441, Springer. Lecture Notes in Computer Science Vol. 9921, Edinburgh, UK, September 17-21, 2016, ISBN 978-3-319-45822-9 (abstract).
  261. 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.
  262. 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
  263. 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.
  264. 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.
  265. 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.
  266. 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 .
  267. 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.
  268. 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.
  269. 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.
  270. 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.
  271. 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 .
  272. 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 .
  273. 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.
  274. 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.
  275. 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.
  276. 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 .
  277. Kalyanmoy Deb and Ankur Sinha. An Evolutionary Approach for Bilevel Multi-objective Problems. in Yong Shi, Shouyang Wang, Yi Peng, Jianping Li and Yong Zeng, (editors), Cutting-Edge Research Topics on Multiple Criteria Decision Making (MCDM'2009), pp. 17--24, Springer, Communications in Computer and Information Science, Vol. 35, Heidelberg, Germany, 2009.
  278. Kalyanmoy Deb and Kaisa Miettinen. Nadir Point Estimation Using Evolutionary Approaches: Better Accuracy and Computational Speed Through Focused Search. in Matthias Ehrgott, Boris Naujoks, Theodor J. Stewart and Jyrki Wallenius, (editors), Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, pp. 339--354, Springer, Lecture Notes in Economics and Mathematical Systems Vol. 634, Heidelberg, Germany, 2010.
  279. Kalyanmoy Deb and Shivam Gupta. Towards a Link Between Knee Solutions and Preferred Solution Methodologies, in Bijaya Ketan Panigrahi, Swagatam Das, Ponnuthurai Nagaratnam Suganthan and Subhransu Sekhar Dash (editors), Swarm, Evolutionary, and Memetic Computing, First International Conference on Swarm, Evolutionary and Memetic Computing, SEMCCO 2010, pp. 182--189, Springer-Verlag. Lecture Notes in Computer Science Vol. 6466, Chennai, India, December 16-18, 2010.
  280. Kalyanmoy Deb. Recent Developments in Evolutionary Multi-Objective Optimization, in Matthias Ehrgott, José Rui Figueira and Salvatore Greco (editors), Trends in Multiple Criteria Decision Analysis, Chapter 12, pp. 339--368, Springer, International Series in Operations Research and Management Science, 2010, ISBN 978-1-4419-5903-4.
  281. Kalyanmoy Deb. Multi-objective Optimisation Using Evolutionary Algorithms: An Introduction, in Lihui Wang, Amos H. C. Ng and Kalyanmoy Deb (editors), Multi-objective Evolutionary Optimisation for Product Design and Manufacturing, Chapter 1, pp. 3--34, Springer, London, UK, 2011, ISBN 978-0-85729-617-7.
  282. Kalyanmoy Deb. Advances in Evolutionary Multi-objective Optimization, in Gordon Fraser and Jerffeson Teixeira de Souza (editors), Search Based Software Engineering, 4th International Symposium, SSBSE 2012, pp. 1--26, Springer. Lecture Notes in Computer Science Vol. 7515, Riva del Garda, Italy, September 28-30, 2012.
  283. Kalyanmoy Deb. Two Approaches for Single and Multi-Objective Dynamic Optimization, in Enrique Alba, Amir Nakib and Patrick Siarry (editors), Metaheuristics for Dynamic Optimization, Chapter 6, pp. 99--116, Springer, Berlin, Germany, 2013, ISBN 978-3-642-30664-8.
  284. Kalyanmoy Deb, Mohamed Abouhawwash and Joydeep Dutta. An Optimality Theory Based Proximity Measure for Evolutionary Multi-Objective and Many-Objective Optimization, in António Gaspar-Cunha, Carlos Henggeler Antunes and Carlos Coello Coello (editors), Evolutionary Multi-Criterion Optimization, 8th International Conference, EMO 2015, pp. 18--33, Springer. Lecture Notes in Computer Science Vol. 9019, Guimarães, Portugal, March 29 - April 1, 2015.
  285. Kalyanmoy Deb, Karthik Sindhya and Jussi Hakanen. Multi-Objective Optimization, in Raghu Nandan Sengupta, Aparna Gupta and Joydeep Dutta (Editors), Decision Sciences. Theory and Practice, pp. 145--183, Chapter 3, CRC Press, Boca Raton, Florida, USA, 2017, ISBN 978-1-4665-6430-5.
  286. 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 .
  287. Satchidananda Dehuri, Susmita Ghosh and Carlos A. Coello Coello. An Introduction to Swarm Intelligence for Multi-objective Problems in Data Mining. in Carlos Artemio Coello Coello, Satchidananda Dehuri, and Susmita Ghosh, (editors), Swarm Intelligence for Multi-objective Problems in Data Mining, chapter 1, pp. 1--17, Springer. Studies in Computational Intelligence. Vol. 242, Berlin, 2009.
  288. Satchidananda Dehuri, Carlos A. Coello Coello, Sung-Bae Cho and Ashish Ghosh. A Discrete Particle Swarm for Multi-objective Problems in Polynomial Neural Networks Used for Classification: A Data Mining Perspective. in Carlos Artemio Coello Coello, Satchidananda Dehuri, and Susmita Ghosh, (editors), Swarm Intelligence for Multi-objective Problems in Data Mining, chapter 6, pp. 115--155, Springer. Studies in Computational Intelligence. Vol. 242, Berlin, 2009.
  289. 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.
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