Contents







Books




  1. 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

  2. Coello Coello, Carlos A. Breve Historia de la Computación y sus Pioneros. Volumen I : Los Orígenes del Hardware, Fondo de Cultura Económica, Diciembre de 2003.

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










Edited Books or Proceedings





  1. Carlos A. Coello Coello, Clarisse Dhaenens and Laetitia Jourdan (editors), Advances in Multi-Objective Nature Inspired Computing, Springer, 2010, ISBN: 978-3-642-11217-1.

  2. Carlos A. Coello Coello, Satchidananda Dehuri and Susmita Ghosh, Swarm Intelligence for Multi-objective Problems in Data Mining, Springer, 2009, ISBN: 978-3-642-03624-8.

  3. Carlos A. Coello Coello, Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization, Third International Conference, EMO 2005, Springer-Verlag, Lecture Notes in Computer Science Vol. 3410, March 2005.

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

  5. Salvador Botello, Arturo Hernández y Carlos Coello (eds), Primer Congreso Mexicano de Computación Evolutiva (COMCEV'03), Guanajuato, México, CIMAT, ISBN 968-57-33-00-7, Mayo de 2003.

  6. Carlos A. Coello Coello, Alvaro de Albornoz, Enrique Sucar, and Osvaldo Cairó Battistutti, MICAI 2002: Advances in Artificial Intelligence, Springer-Verlag, Lecture Notes in Artificial Intelligence No. 2313, ISBN 3-540-43475-5, April 2002.

  7. Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello & David Corne (editors), Evolutionary Multi-Criterion Optimization. First International Conference, EMO 2001, Springer-Verlag, Berlin, Lecture Notes in Computer Science No. 1993, ISBN 3-540-41745-1, March 2001.










Book Chapters





  1. Carlos A. Coello Coello, Silvia González Brambila, Josué Figueroa Gamboa and Ma. Guadalupe Castillo Tapia, Multi-Objective Evolutionary Algorithms: Past, Present, and Future, in Panos M. Pardalos, Varvara Rasskazova and Michael N. Vrahatis (Editors), Black Box Optimization, Machine Learning, and No-Free Lunch Theorems, pp. 137--162, Springer, Optimization and Its Applications Series Vol. 170, 2021, ISBN 978-3-030-66514-2.

  2. Carlos A. Coello Coello and Ma Guadalupe Castillo Tapia, Multi-objective evolutionary algorithms and some of their applications in reliability, in Krzystof Kolowrocki, Magdalena Bogaleka, Ewa Dabrowska and Mateursz Torbicki (Editors), Safety and Reliability of Systems and Processes. Summer Safety and Reliability Seminar 2021, pp. 45-57, Gdynia Maritime University, Poland, 2021. ISBN 978-83-7421-354-7.

  3. Raquel Hernández Gómez, Carlos A. Coello Coello and Enrique Alba, A Parallel Island Model for Hypervolume-Based Many-Objective Optimization, in Thomas Bartz-Beielstein, Bogdan Filipic, Peter Korosec and El-Ghazali Talbi (Editors), High-Performance Simulation-Based Optimization, pp. 247--273, Springer, Studies in Computational Intelligence Vol. 833, Switzerland, 2020, ISBN 978-3-030-18763-7.

  4. Carlos A. Coello Coello, Raquel Hernández Gómez and Luis Miguel Antonio, Fundamentals of Evolutionary Optimization: Single- and Multiobjective Problems, in John G. Webster (Editor), Wiley Encyclopedia of Electrical and Electronics Engineering, John Wiley & Sons, Inc., New York, USA, May 2018, ISBN 978-0-471-134608-1.

  5. Juan M. Ramirez, Miguel A. Medina and Carlos A. Coello Coello, A multi-objective teaching-learning algorithm for power losses reduction in power systems, in Ahmed F. Zobaa, Shady H.E. Abdel Aleem and Almoataz Youssef Abdalaziz (editors), Classical and Recent Aspects of Power System Optimization, Chapter 18, pp. 505--542, Academic Press, London, UK, 2018, ISBN 978-0-12-812441-3.

  6. Carlos A. Coello Coello, Multiobjective Optimization, in Rafael Martí, Pardalos Panos and Mauricio G. C. Resende (editors), Handbook of Heuristics, Springer, Cham, Switzerland, 2018, ISBN 978-3-319-07153-4.

  7. Saku Kukkonen and Carlos A. Coello Coello, Generalized Differential Evolution for Numerical and Evolutionary Optimization, in Oliver Schütze, Leonardo Trujillo, Pierrick Legrand and Yazmin Maldonado (Editors), NEO 2015. Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2016 in Tijuana, Mexico, pp. 253--279, Springer, Switzerland, 2017, ISBN 1860-9503.

  8. Saúl Zapotecas-Martínez, Adriana Lara and Carlos A. Coello Coello. Hybridizing MOEAs with Mathematical-Programming Techniques, in Raghu Nandan Sengupta, Aparna Gupta and Joydeep Dutta (Editors), Decision Sciences. Theory and Practice, pp. 185--231, Chapter 4, CRC Press, Boca Raton, Florida, USA, 2017, ISBN 978-1-4665-6430-5.

  9. Carlos A. Coello Coello, Carlos Segura and Gara Miranda, History and Philosophy of Evolutionary Computation, in Plamen Parvanov Angelov (editor), Handbook on Computational Intelligence, Volume 2: Evolutionary Computation, Hybrid Systems, and Applications, Chapter 14, pp. 509--545, World Scientific, Singapore, 2016, ISBN 978-981-4675-04-8.

  10. Carlos A. Coello Coello. Multi-objective Evolutionary Algorithms in Real-World Applications: Some Recent Results and Current Challenges, in David Greiner, Blas Galván, Jacques Périaux, Nicolas Gauger, Kyriakos Giannakoglou and Gabriel Winter (editors), Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences, Chapter 1, pp. 3--18, Springer, Computational Methods in Applied Sciences Vol. 36, Switzerland, 2015, ISBN 978-3-319-11540-5.

  11. Antonio López Jaimes and Carlos A. Coello Coello. Many-objective Problems: Challenges and Methods, in Janusz Kacprzyk and Witold Pedrycz (editors), Springer Handbook of Computational Intelligence, Part E, pp. 1033--1046, Springer-Verlag, Heidelberg, Germany, 2015, ISBN 978-3-662-43504-5.

  12. Alfredo Arias Montaño, Carlos A. Coello Coello and Oliver Schütze, Multiobjective Optimization for Space Mission Design Problems, in M. Vasile and V.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.

  13. Antonio López Jaimes and Carlos A. Coello Coello, Interactive Approaches Applied to Multiobjective Evolutionary Algorithms, in Michael Doumpos and Evangelos Grigoroudis (editors), Multicriteria decision aid and artificial intelligence: Theory and applications, Chapter 8, pp. 191--207, John Wiley & Sons, Chichester, UK, 2013, ISBN 978-1-119-97639-4.

  14. Victoria S. Aragón, Susana C. Esquivel and Carlos A. Coello Coello, Artificial Immune System for Solving Dynamic Constrained Optimization Problems, in Enrique Alba, Amir Nakib and Patrick Siarry (editors), Metaheuristics for Dynamic Optimization, pp. 225--263, Springer, ISBN 978-3-642-30664-8, Berlin, Germany, 2013.

  15. Adriana Lara, Oliver Schütze and Carlos A. Coello Coello, On Gradient-based Local Search to Hybridize Multi-objective Evolutionary Algorithms, in Emilia Tantar, Alexandru-Adrian Tantar, Pascal Bouvry, Pierre Del Moral, Pierrick Legrand, Carlos A. Coello Coello and Oliver Schütze (editors), EVOLVE - A bridge between Probability, Set Oriented Numerics and Evolutionary Computation, Chapter 9, pp. 305--332, Springer-Verlag, Heidelber, Germany, Studies in Computational Intelligence Vol. 447, 2013, ISBN 978-3-642-32725-4.

  16. Guillermo Leguizamón and Carlos A. Coello Coello, An Introduction to the Use of Evolutionary Computation Techniques for Dealing with ECG Signals, in Adam Gacek and Witold Pedrycz (editors), ECG Signal Processing, Classification and Interpretation: A Comprehensive Framework of Computational Intelligence, Chapter 6, pp. 135--153, Springer, London, 2012, ISBN 978-0-85729-867-6.

  17. Mohsen Davarynejad, Jos Vrancken, Jan van den Berg, and Carlos A. Coello Coello, A Fitness Granulation Approach for Large-Scale Structural Design Optimization, in Raymond Chiong, Thomas Weise and Zbigniew Michalewicz (editors), Variants of Evolutionary Algorithms for Real-World Applications, pp. 245--280, Springer, Berlin, 2011, ISBN 978-3-642-23423-1.

  18. Guillermo Leguizamón and Carlos A. Coello Coello. Multi-Objective Ant Colony Optimization: A Taxonomy and Review of Approaches, in Satchidanada Dehuri, Susmita Ghosh and Sung Bae Cho (editors), Integration of Swarm Intelligence and Artificial Neural Network, Chapter 3, pp. 67--94, World Scientific, Singapore, 2011, ISBN 978-981-4280-14-3.

  19. Antonio López Jaimes, Saúl Zapotecas Martínez and Carlos A. Coello Coello, An Introduction to Multiobjective Optimization Techniques, in António Gaspar-Cunha and José António Covas (editors), Optimization in Polymer Processing, Chapter 3, pp. 29--57, Nova Science Publishers, New York, 2011, ISBN 978-1-61122-818-2.

  20. 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.

  21. 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.

  22. Julio Barrera and Carlos A. Coello Coello, Test Function Generators for Assessing Performance of PSO Algorithms in Multimodal Optimization, in Bijaya Ketan Panigrahi, Yuhui Shi and Meng-Hiot Lim (editors), Handbook on Swarm Intelligence - Concepts, Principles and Applications, pp. 89--117, Springer-Verlag, 2011, ISBN 978-3-642-17389-9.

  23. Luis Gerardo de la Fraga and Carlos A. Coello Coello, A Review of Applications of Evolutionary Algorithms in Pattern Recognition, in Patrick S.P. Wang (editor), Pattern Recognition, Machine Intelligence and Biometrics, pp. 3--28, Higher Education Press, Beijing and Springer-Verlag, Berlin, 2011, ISBN 978-3-642-22406-5.

  24. Luis V. Santana-Quintero, Alfredo Arias Montaño and Carlos A. Coello Coello, A Review of Techniques for Handling Expensive Functions in Evolutionary Multi-Objective Optimization, in Yoel Tenne and Chi-Keong Goh (editors), Computational Intelligence in Expensive Optimization Problems, Chapter 2, pp. 29--59, Springer, Berlin, Germany, 2010, ISBN 978-3-642-10700-9.

  25. Juan Carlos Fuentes Cabrera and Carlos A. Coello Coello, Micro-MOPSO: A Multi-Objective Particle Swarm Optimizer that Uses a Very Small Population Size, in Nadia Nedjah, Leandro dos Santos Coelho and Luiza de Macedo de Mourelle (editors), Multi-Objective Swarm Intelligent Systems. Theory & Experiences, chapter 4, pp. 83--104, Springer, Berlin Heidelberg, 2010, ISBN 978-3-642-05164-7.

  26. Antonio López, Jaimes and Carlos A. Coello Coello, Applications of Parallel Platforms and Models in Evolutionary Multi-Objective Optimization, in Andrew Lewis, Sanaz Mostaghim and Marcus Randall (editors), Biologically-Inspired Optimisation Methods, pp. 23--49, Springer, 2009, ISBN 978-3-642-01261-7.

  27. Antonio López Jaimes, Luis Vicente Santana Quintero and Carlos A. Coello Coello, Ranking Methods in Many-objective Evolutionary Algorithms, in Raymond Chiong (editor), Nature-Inspired Algorithms for Optimisation, pp. 413--434, Springer, Berlin, 2009, ISBN 978-3-642-00266-3.

  28. Guillermo Leguizamón and Carlos Coello Coello, Boundary Search for Constrained Numerical Optimization Problems, in Efrén Mezura-Montes (editor), Constraint-Handling in Evolutionary Optimization, pp. 25--49, Springer-Verlag, Berlin, 2009, ISBN 978-3-642-00618-0.

  29. Antonio López Jaimes and Carlos A. Coello Coello, Multi-Objective Evolutionary Algorithms: A Review of the State-of-the-Art and some of their Applications in Chemical Engineering, in Rangaiah Gade Pandu (editor), Multi-Objective Optimization Techniques and Applications in Chemical Engineering, Chapter 3, pp. 61--90, World Scientific, Singapore, 2009, ISBN 978-981-283-651-9.

  30. Fabio Freschi, Carlos A. Coello Coello and Maurizio Repetto, Multiobjective Optimization and Artificial Immune Systems: A Review, in Hongwei Mo (editor), Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies, pp. 1--21, Medical Information Science Reference, Hershey, New York, 2009, ISBN 978-1-60566-310-4.

  31. Efrén Mezura-Montes and Carlos A. Coello Coello, Constrained Optimization via Multiobjective Evolutionary Algorithms, in Joshua Knowles, David Corne and Kalyanmoy Deb (Editors), Multi-Objective Problem Solving from Nature: From Concepts to Applications, pp. 53--75, Springer, 2008, ISBN 978-3-540-72963-1.

  32. Efrén Mezura-Montes, Edgar A. Portilla-Flores, Carlos A. Coello Coello, Jaime Alvarez-Gallegos and Carlos A. Cruz-Villar. An Evolutionary Approach to Solve a Novel Mechatronic Multiobjective Optimization Problem, in Patrick Siarry and Zbigniew Michalewicz (editors), Advances in Metaheuristic Methods for Hard Optimization, pp. 329--351, Springer, 2008, ISBN 978-3-540-72959-4.

  33. Carlos A. Coello Coello, Evolutionary Algorithms: Basic Concepts and Applications in Biometrics, in Svetlana N. Yanushkevich, Patrick S.P. Wang, Marina L. Gavrilova and Sargur N. Srihari (editors), Image Pattern Recognition: Synthesis and Analysis in Biometrics, pp. 289--320, World Scientific, Singapore, 2007, ISBN 981-256-908-1.

  34. Leticia Cagnina, Susana C. Esquivel and Carlos A. Coello Coello, Hybrid Particle Swarm Optimizers in the Single Machine Scheduling Problem: An Experimental Study, in Keshav Dahal, Kay Chan Tan and Peter Cowling (editors), Evolutionary Scheduling, pp. 143--164, Springer-Verlag, 2007, ISBN 3-540-48582-1.

  35. Margarita Reyes Sierra and Carlos A. Coello Coello, A Study of Techniques to Improve the Efficiency of a Multi-Objective Particle Swarm Optimizer, in Shengxiang Yang, Yew Soon Ong and Yaochu Jin (editors), Evolutionary Computation in Dynamic and Uncertain Environments, pp. 269--296, Springer, 2007, ISBN 978-3-540-49772-1.

  36. 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.

  37. 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. (The slides of this invited talk are available here)

  38. Efrén Mezura-Montes, Arturo Hernández Aguirre and Carlos A. Coello Coello, Using Evolution Strategies to Solve Constrained Optimization Problems, in William Annicchiarico, Jacques Périaux, Miguel Cerrolaza and Gabriel Winter (editors), Evolutionary Algorithms and Intelligent Tools in Engineering Optimization, pp. 1--25, WIT Press, CIMNE Barcelona, Southampton, Boston, 2005, ISBN 1-84564-038-1 .

  39. Efrén Mezura-Montes and Carlos A. Coello Coello, Use of Multiobjective Optimization Concepts to Handle Constraints in Genetic Algorithms, in Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors), Evolutionary Multiobjective Optimization: Theoretical Advances And Applications, pp. 229--254, Springer-Verlag, London, 2005, ISBN 1-85233-787-7 .

  40. 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, 2005, ISBN 1-85233-787-7 .

  41. 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 .

  42. 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, Studies in Fuzziness and Soft Computing, Vol. 167, ISBN 3-540-22902-7, 2005.

  43. Ricardo Landa Becerra and Carlos A. Coello Coello, A Cultural Algorithm for Solving the Job-Shop Scheduling Problem, in Yaochu Jin (editor) Knowledge Incorporation in Evolutionary Computation, Springer, pp. 37--55, Studies in Fuzziness and Soft Computing, Vol. 167, ISBN 3-540-22902-7, 2005.

  44. Sarker, Ruhul and Coello Coello, Carlos A. Assessment Methodologies for Multiobjective Evolutionary Algorithms, in Ruhul Sarker, Masoud Mohammadian and Xin Yao (Editors), Evolutionary Optimization, Chapter 7, pp. 177--195, Kluwer Academic Publishers, Boston, ISBN 0-7923-7654-4, February 2002.

  45. Coello Coello, Carlos A. Evolutionary Multi-Objective Optimization: A Critical Review, in Ruhul Sarker, Masoud Mohammadian and Xin Yao (Editors), Evolutionary Optimization, Chapter 5, pp. 117--146, Kluwer Academic Publishers, Boston, ISBN 0-7923-7654-4, February 2002.

  46. Coello Coello, Carlos A. and Mariano Romero, Carlos E., Evolutionary Algorithms and Multiple Objective Optimization', in Xavier Gandibleux and Matthias Ehrgott (editors), Multiple Criteria Optimization. State of the Art Annotated Bibliographic Survey, Chapter 6, pp. 277-331, Kluwer's International Series in Operations Research and Management Science, Volume 52, Kluwer Academic Publishers, ISBN 1-4020-7128-0, June 2002.

  47. Parmee, Ian C.; Coello Coello, Carlos A. & Watson, Andrew H.; Data Representations for Evolutionary Computation,in Cartwright, H. (Editor), Intelligent Data Analysis in Science, pp. 95--122, Oxford University Press, ISBN 0-19-850233-8, 2000.










International Journals





  1. Forhad Zaman, Saber Elsayed, Ruhul Sarker, Daryl Essam and Carlos Coello Coello, An Evolutionary Approach for Resource Constrained Project Scheduling with Uncertain Changes, Computers & Operations Research, Vol. 125, Article number: 105104, January 2021.

  2. Sumit Mishra and Carlos A. Coello Coello, A Parallel Naive Approach for Non-dominated Sorting: A Theoretical Study Considering PRAM CREW Model, Soft Computing, Vol. 25, No. 1, pp. 73--84, January 2021.

  3. Ali Ahrari, Saber Elsayed, Ruhul Sarker, Daryl Essam and Carlos A. Coello Coello, Weighted Pointwise Prediction Method for Dynamic Multiobjective Optimization, Information Sciences, Vol. 546, pp. 349--367, 6 February 2021.

  4. Wu Lin, Qiuzhen Lin, Junkai Ji, Zexuan Zhu, Carlos A. Coello Coello and Ka-Chun Wong, Decomposition-Based Multiobjective Optimization with Bicriteria Assisted Adaptive Operator Selection, Swarm and Evolutionary Computation, Vol. 60, Paper number 100790, February 2021.

  5. Qingling Zhu, Qiuzhen Lin, Carlos A. Coello Coello, Zhong Ming, Jianyong Chen and Jun Zhang, An Elite Gene Guided Reproduction Operator for Many-objective Optimization, IEEE Transactions on Cybernetics, Vol. 51, No. 2, pp. 765--778, February 2021.

  6. Qiuzhen Lin, Wu Lin, Zexuan Zhu, Maoguo Gong, Jianqiang Li and Carlos A. Coello Coello, Multimodal Multi-objective Evolutionary Optimization with Dual Clustering in Decision and Objective Spaces, IEEE Transactions on Evolutionary Computation, Vol. 25, No. 1, pp. 130--144, February 2021.

  7. Ali Ahrari, Saber Elsayed, Ruhul Sarker, Daryl Essam and Carlos A. Coello Coello, A Heredity-based Adaptive Variation Operator for Reinitialization in Dynamic Multi-objective Problems, Applied Soft Computing, Volume 101, Article No. 107027, March 2021.

  8. Ali Ahrari, Saber Elsayed, Ruhul Sarker, Daryl Essam and Carlos A. Coello Coello, Adaptive Multilevel Prediction Method for Dynamic Multimodal Optimization, IEEE Transactions on Evolutionary Computation, Vol. 25, No. 3, pp. 463--477, June 2021.

  9. Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser, Antonio J. Nebro, Daniel Molina, Antonio LaTorre, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera, A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems, Swarm and Evolutionary Computation, Vol. 64, Article No. 100888, July 2021.

  10. Ali Ahrari, Saber Elsayed, Ruhul Sarker, Daryl Essam and Carlos A. Coello Coello, A Novel Parametric benchmark generator for dynamic multimodal optimization, Swarm and Evolutionary Computation, Vol. 65, Article No. 100924, August 2021.

  11. Jesús Guillermo Falcón-Cardona, Hisao Ishibuchi, Carlos A. Coello Coello and Michael Emmerich, On the Effect of the Cooperation of Indicator-based Multi-Objective Evolutionary Algorithms, IEEE Transactions on Evolutionary Computation, Vol. 25, No. 4, pp. 681--695, August 2021.

  12. Jesús Guillermo Falcón-Cardonaa, Raquel Hernández Gómez, Carlos A. Coello Coello and Ma. Guadalupe Castillo Tapia, Parallel Multi-Objective Evolutionary Algorithms: A Comprehensive Survey, Swarm and Evolutionary Computation, Vol. 67, Paper Number: 100960, December 2021.

  13. Jesús Leopoldo Llano García, Raúl Monroy, Víctor Adrián Sosa Hernández and Carlos A. Coello Coello, COARSE-EMOA: An Indicator-based Evolutionary Algorithm for Solving Equality Constrained Multi-objective Optimization Problems, Swarm and Evolutionary Computation, Volume 67, Paper number: 100983, December 2021.

  14. Zohreh Masoumi, Carlos A. Coello Coello and Ali Mansourian, Dynamic Urban Land-Use Change Management Using Multi-Objective Evolutionary Algorithms, Soft Computing, Vol. 24, No. 6, pp. 4165--4190, March 2020.

  15. Laura Cruz-Reyes, Eduardo Fernandez, J. Patricia Sanchez-Solis, Carlos A. Coello Coello and Claudia Gomez, Hybrid Evolutionary Multi-Objective Optimisation using Outranking-Based Ordinal Classification Methods, Swarm and Evolutionary Computation, Vol. 54, Article 100652, May 2020.

  16. Eduardo Fernandez, Jorge Navarro, Efrain Solares and Carlos Coello Coello, Using evolutionary computation to infer the decision maker's preference model in presence of imperfect knowledge: a case study in portfolio optimization, Swarm and Evolutionary Computation, Vol. 54, Article 100648, May 2020.

  17. Jesús Guillermo Falcón-Cardona and Carlos A. Coello Coello, Indicator-based Multi-Objective Evolutionary Algorithms: A Comprehensive Survey, ACM Computing Surveys, Vol. 53, No. 2, Article No. 29, April 2020.

  18. Victoria S. Aragón, Carlos A. Coello Coello and Mario G. Leguizamón, A T-cell algorithm for solving dynamic economic power dispatch problems, Journal of Computer Science & Technology, Vol. 20, No. 1, pp. 1--14, May 2020.

  19. Saber Elsayed, Ruhul Sarker, Daryl Essam and Carlos A. Coello Coello, Evolutionary Approach for Large-Scale Mine Scheduling, Information Sciences, Vol. 523, pp. 77--90, June 2020.

  20. Carlos A. Coello Coello, Silvia González Brambila, Josué Figueroa Gamboa, Ma Guadalupe Castillo Tapia and Raquel Hernández Gómez, Evolutionary multiobjective optimization: open research areas and some challenges lying ahead, Complex & Intelligent Systems, Vol. 6, pp. 221--236, July 2020.

  21. David Guirguis, Nikola Aulig, Renato Picelli, Bo Zhu, Yuqing Zhou, William Vicente, Francesco Iorio, Markus Olhofer, Wojciech Matusik, Carlos Artemio Coello Coello and Kazuhiro Saitou, Evolutionary Black-Box Topology Optimization: Challenges and Promises, IEEE Transactions on Evolutionary Computation, Vol. 24, No. 4, pp. 613--633, August 2020.

  22. Lijia Ma, Jianqiang Li, Qiuzhen Lin, Maoguo Gong, Carlos A. Coello Coello and Zhong Ming, Cost-aware Robust Control of Signed Networks by using a Memetic Algorithm, IEEE Transactions on Cybernetics, Vol. 50, No. 10, pp. 4430--4443, October 2020.

  23. Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Mohamed Makhlouf and Lamjed Ben Said, Approximating Complex Pareto Fronts with Predefined Normal-Boundary Intersection Directions, IEEE Transactions on Evolutionary Computation, Vol. 24, No. 5, pp. 809--823, October 2020.

  24. Zohreh Masoumi, Jamshid Maleki, Farshad Hakimpour and Carlos Coello Coello, A spatial land use planning support system based on game theory, Land Use Policy, Vol. 99, Paper number 105013, December 2020.

  25. Man-Fai Leung, Carlos A. Coello Coello, Chi-Chung Cheung, Sin-Chun Ng and Kwow-Fai Lui, A Hybrid Leader Selection Strategy for Many-Objective Particle Swarm Optimization, IEEE Access, Vol. 8, pp. 189527--189545, 14 October 2020.

  26. Saber Elsayed, Ruhul Sarker and Carlos Coello Coello, Fuzzy Rule-based Design of Evolutionary Algorithm for Optimization, IEEE Transactions on Cybernetics, Vol. 49, No. 1, pp. 301--314, January 2019. (Supplementary Material)

  27. Efrain Solares, Carlos A. Coello Coello, Eduardo Fernandez and Jorge Navarro, Handling uncertainty through confidence intervals in portfolio optimization, Swarm and Evolutionary Computation, Vol. 44, pp. 774--787, February 2019.

  28. Sumit Mishra, Sriparna Saha, Samrat Mondal and Carlos A. Coello Coello, A Divide-and-Conquer based Efficient Non-dominated Sorting Approach, Swarm and Evolutionary Computation, Vol. 44, pp. 748--773, February 2019.

  29. Saúl Zapotecas-Martínez, Carlos A. Coello Coello, Hernán E. Aguirre and Kiyoshi Tanaka. A Review of Features and Limitations of Existing Scalable Multi-Objective Test Suites, IEEE Transactions on Evolutionary Computation, Vol. 23, No. 1, pp. 130--142, February 2019.

  30. Yuchao Su, Jia Wang, Lijia Ma, Xiaozhou Wang, Qiuzhen Lin, Carlos A. Coello Coello, Jianyong Chen, A hybridized angle-encouragement-based decomposition approach for many-objective optimization problems, Applied Soft Computing, Vol. 78, pp. 355--372, May 2019.

  31. Adriana Menchaca-Méndez, Elizabeth Montero, Luis Miguel Antonio, Saúl Zapotecas-Martínez, Carlos A. Coello Coello and María-Cristina Riff, A Co-Evolutionary Scheme for Multi-Objective Evolutionary Algorithms based on ε-Dominance, IEEE Access, Vol. 7, No. 1, pp. 18267--18283, December 2019.

  32. Eduardo Fernandez, Jorge Navarro, Efrain Solares and Carlos A. Coello Coello, A Novel Approach to Select the Best Portfolio Considering the Preferences of the Decision Maker, Swarm and Evolutionary Computation, Vol. 46, pp. 140--153, May 2019.

  33. Forhad Zaman, Saber M. Elsayed, Ruhul Sarker, Daryl Essam and Carlos A. Coello Coello, Multi-method based algorithm for multi-objective problems under uncertainty, Information Sciences, Vol. 481, pp. 81--109, May 2019.

  34. Sumit Mishra and Carlos A. Coello Coello, Parallelism in Divide-and-Conquer Non-dominated Sorting: A Theoretical Study Considering the PRAM-CREW Model, Journal of Heuristics, Vol. 25, No. 3, pp. 455--483, June 2019.

  35. Qiuzhen Lin, Songbai Liu, Ka-Chun Wong, Carlos A. Coello Coello, Jianyong Chen and Jun Zhang, A Clustering-based Evolutionary Algorithm for Many-objective Optimization Problems, IEEE Transactions on Evolutionary Computation, Vol. 23, No. 3, pp. 391--405, June 2019.

  36. Javier Del Ser, Eneko Osaba, Daniel Molina, Xin-She Yang, Sancho Salcedo-Sanz, David Camacho, Swagatam Das, Ponnuthurai N. Suganthan, Carlos A. Coello Coello and Francisco Herrera, Bio-Inspired Computation: Where We Stand and What's Next, Swarm and Evolutionary Computation, Vol. 48, pp. 220--250, August 2019.

  37. Lijia Ma, Jianqiang Li, Qiuzhen Lin, Maoguo Gong, Carlos A. Coello Coello and Zhong Ming, Reliable Link Inference for Network Data with Community Structures, IEEE Transactions on Cybernetics, Vol. 49, No. 9, pp. 3347--3361, September 2019.

  38. Wenjun Wang, Shaoqiang Yang, Qiuzhen Lin, Qingfu Zhang, Ka-Chun Wong, Carlos A. Coello Coello and Jianyong Chen, An Effective Ensemble Framework for Multi-Objective Optimization, IEEE Transactions on Evolutionary Computation, Vol. 23, No. 4, pp. 645--659, August 2019.

  39. Lingjie Li, Qiuzhen Lin, Songbai Liu, Dunwei Gong, Carlos A. Coello Coello and Zhong Ming, A novel multi-objective immune algorithm with a decomposition-based clonal selection, Applied Soft Computing, Vol. 81, UNSP 105490, August 2019.

  40. Songbai Liu, Qiuzhen Lin, Ka-Chun Wong, Lijia Ma, Carlos A. Coello Coello and Dunwei Gong, A novel multi-objective evolutionary algorithm with dynamic decomposition strategy, Swarm and Evolutionary Computation, Vol. 48, pp. 182--200, August 2019.

  41. Luis Fernando Plata-González, Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín and Carlos A. Coello Coello Evolutionary-Based Tailoring of Synthetic Instances for the Knapsack Problem, Soft Computing, Vol. 23, No. 23, pp. 12711--12728, December 2019.

  42. Sumit Mishra, Sriparna Saha, Samrat Mondal and Carlos A. Coello Coello, Divide-and-Conquer Based Non-dominated Sorting with Reduced Comparisons, Swarm and Evolutionary Computation, Vol. 51, Article no. 100580, December 2019.

  43. Qiuzhen Liu, Songbai Liu, Chaoyu Tang, Ruizhen Song, Jianyong Chen, Carlos A. Coello Coello and Jun Zhang, Particle Swarm Optimization with a Balanceable Fitness Estimation for Many-objective Optimization Problems, IEEE Transactions on Evolutionary Computation, Vol. 22, No. 1, pp. 32--46, February 2018.

  44. Qiuzhen Lin, Yueping Ma, Jianyong Chen, Qingling Zhu, Carlos A. Coello Coello, Ka-Chun Wong and Fei Chen, An Adaptive Immune-inspired Multi-objective Algorithm with Multiple Differential Evolution Strategies, Information Sciences, pp. 46--64, Vols. 430-431, March 2018.

  45. Alejandro Rosales-Pérez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello and Francisco Herrera, MC2ESVM: Multiclass Classification based on Cooperative Evolution of Support Vector Machines, IEEE Computational Intelligence Magazine, Vol. 13, No. 2, pp. 18--29, May 2018.

  46. Ivan Amaya, José C. Ortiz-Bayliss, Alejandro Rosales-Pérez, Andrés E. Gutiérrez-Rodríguez, Santiago E. Conant-Pablos, Hugo Terashima-Marín and Carlos A. Coello Coello, Enhancing Selection Hyper-heuristics via Feature Transformations, IEEE Computational Intelligence Magazine, Vol. 13, No. 2, pp. 30--41, May 2018.

  47. Stjepan Picek, Carlos A. Coello Coello, Domagoj Jakobovic and Nele Mentens, Finding Short and Implementation-friendly Addition Chains with Evolutionary Algorithms, Journal of Heuristics, Vol. 24, No. 3, pp. 457--481, June 2018.

  48. Qiuzhen Lin, Genmiao Jin, Yueping Ma, Ka-Chun Wong, Carlos A. Coello Coello, Jianqiang Li, Jianyong Chen and Jun Zhang, A Diversity-Enhanced Resource Allocation Strategy for Decomposition-based Multiobjective Evolutionary Algorithm, IEEE Transactions on Cybernetics, Vol. 48, No. 8, pp. 2388--2401, August 2018.

  49. Luis Miguel Antonio, José A. Molinet Berenguer and Carlos A. Coello Coello, Evolutionary Many-objective Optimization based on Linear Assignment Problem Transformations, Soft Computing, Vol. 22, No. 6, pp. 5491--5512, August 2018.

  50. Saber Elsayed, Ruhul Sarker, Carlos Coello Coello, Tapabrata Ray, Adaptation of Operators and Continuous Control Parameters in Differential Evolution for Constrained Optimization, Soft Computing, Vol. 22, No. 19, pp. 6595--6616, October 2018.

  51. Sumit Mishra, Samrat Modalb, Sriparna Saha and Carlos A. Coello Coello, GBOS: Generalized Best Order Sort Algorithm for Non-dominated Sorting, Swarm and Evolutionary Computation, Vol. 43, pp. 244--264, December 2018.

  52. Qiuzhen Lin, Xiaozhou Wang, Bishan Hu, Lijia Ma, Fei Chen, Li Jian-qiang and Carlos A. Coello Coello, Multi-objective Personalized Recommendation Algorithm using Extreme Point Guided Evolutionary Computation, Complexity, Volume 2018, Article ID 1716352, 2018.

  53. Luis Miguel Antonio and Carlos A. Coello Coello, Coevolutionary Multi-objective Evolutionary Algorithms: A Survey of the State-of-the-Art, IEEE Transactions on Evolutionary Computation, Vol. 22, No. 6, pp. 851--865, December 2018.

  54. Adriana Menchaca-Méndez and Carlos A. Coello Coello, An alternative hypervolume-based selection mechanism for multi-objective evolutionary algorithms, Soft Computing, Vol. 21, No. 4, pp. 861--884, February 2017.

  55. Laura Cruz-Reyes, Eduardo Fernandez, Patricia Sanchez, Carlos A. Coello Coello and Claudia Gomez, Incorporation of implicit decision-maker preferences in Multi-Objective Evolutionary Optimization using a multi-criteria classification method, Applied Soft Computing, Vol. 50, pp. 48--57, January 2017.

  56. Jesús Guillermo Falcón-Cardona and Carlos A. Coello Coello, A New Indicator-Based Many-Objective Ant Colony Optimizer for Continuous Search Spaces, Swarm Intelligence, Vol. 11, No. 1, pp. 71--100, March 2017.

  57. Qingling Zhu, Qiuzhen Lin, Weineng Chen, Ka-Chun Wong, Carlos A. Coello Coello, Jianyong Chen and Jun Zhang, An External Archive-Guided Multi-objective Particle Swarm Optimization Algorithm, IEEE Transactions on Cybernetics, Vol. 47, No. 9, pp. 2794--2808, September 2017.

  58. Saber Elsayed, Ruhul Saker and Carlos A. Coello Coello, Sequence-based Deterministic Initialization for Evolutionary Algorithms, IEEE Transactions on Cybernetics, Vol. 47, No. 9, pp. 2911--2923, September 2017.

  59. Alan Díaz-Manríquez, Gregorio Toscano and Carlos A. Coello Coello, Comparison of Metamodeling Techniques in Evolutionary Algorithms, Soft Computing, pp. 5647--5663, Vol. 21, No. 19, October 2017.

  60. Saber Elsayed, Ruhul Sarker, Tapabrata Ray and Carlos Coello Coello, Consolidated Optimization Algorithm for Resource-constrained Project Scheduling Problems, Information Sciences, pp. 346--362, Vols. 418-419, December 2017.

  61. Alejandro Rosales-Pérez, Salvador García, Jesus A. Gonzalez, Carlos A. Coello Coello and Francisco Herrera, An Evolutionary Multi-Objective Model and Instance Selection for Support Vector Machines with Pareto-based Ensembles, IEEE Transactions on Evolutionary Computation, Vol. 21, No. 6, pp. 863--877, December 2017.

  62. Saúl Zapotecas Martínez and Carlos A. Coello Coello, MONSS: A Multi-Objective Nonlinear Simplex Search Approach, Engineering Optimization, Vol. 48, No. 1, pp. 16--38, 2016.

  63. Adriana Menchaca-Mendez and Carlos A. Coello Coello, Selection mechanisms based on the maximin fitness function to solve multi-objective optimization problems, Information Sciences, Vol. 332, pp. 131--152, March 1, 2016.

  64. Oliver Schütze, Adanay Martín, Adriana Lara, Sergio Alvarado, Eduardo Salinas and Carlos A. Coello Coello, The Directed Search Method for Multi-Objective Memetic Algorithms, Computational Optimization and Applications, Vol. 63, No. 2, pp. 305--332, March 2016.

  65. Qiuzhen Lin, Zhiwang Liu, Qiao Yan, Zhihua Du, Carlos A. Coello Coello, Zhengping Liang, Wenjun Wang and Jianyong Chen, Adaptive composite operator selection and parameter control for multiobjective evolutionary algorithm, Information Sciences, Vol. 339, pp. 332--352, April 20, 2016.

  66. Gustavo R. Zavala, Antonio J. Nebro, Francisco Luna and Carlos A. Coello Coello, Structural Design using Multi-objective Metaheuristics. Comparative Study and Application to a Real-World Problem, Structural and Multidisciplinary Optimization, Vol. 53, No. 3, pp. 545--566, 2016.

  67. Carlos Segura, Carlos A. Coello Coello, Gara Miranda and Coromoto León, Using multi-objective evolutionary algorithms for single-objective constrained and unconstrained optimization, Annals of Operations Research, Vol. 240, No. 1, pp. 217--250, May 2016.

  68. Francisco Luna, Gustavo R. Zavala, Antonio J. Nebro, Juan J. Durillo and Carlos A. Coello Coello, Distributed multi-objective metaheuristics for real-world structural optimization problems, The Computer Journal, Vol. 59, No. 6, pp. 777--792, June 2016.

  69. Alejandro Rosales-Pérez, Jesus A. Gonzalez, Carlos A. Coello Coello, Carlos A. Reyes-Garcia and Hugo Jair Escalante, EMOPG+FS: Evolutionary Multi-Objective Prototype Generation and Feature Selection, Intelligent Data Analysis, Vol. 20, No. s1, pp. S37--S51, 2016.

  70. Qiuzhen Lin, Jianyong Chen, Zhi-Hui Zhan, Wei-neng Chen, Carlos A. Coello Coello, Yilong Yin, Chih-Min Lin and Jun Zhang, A Hybrid Evolutionary Immune Algorithm for Multiobjective Optimization Problems, IEEE Transactions on Evolutionary Computation, Vol. 20, No. 5, pp. 711--728, October 2016.

  71. Carlos Segura, Carlos A. Coello Coello, Eduardo Segredo, and Arturo Hernández Aguirre, A Novel Diversity-Based Replacement Strategy for Evolutionary Algorithms, IEEE Transactions on Cybernetics, Vol. 46, No. 12, pp. 3233--3246, December 2016.

  72. Julio Barrera, O. Álvarez-Bajo, Juan J. Flores and Carlos A. Coello Coello. Limiting the velocity in the Particle Swarm Optimization algorithm, Computación y Sistemas, Vol. 20, No. 4, pp. 635--645, 2016.

  73. V.S. Aragón, S.C. Esquivel and C.A. Coello Coello, An Immune Algorithm with Power Redistribution for Solving Economic Dispatch Problems, Information Systems, Vol. 209, pp. 609--632, 2015.

  74. Alejandro Rosales-Pérez, Jesus A. Gonzalez, Carlos A. Coello Coello, Hugo Jair Escalante and Carlos A. Reyes-Garcia, Surrogate-Assisted Multi-Objective Model Selection for Support Vector Machines, Neurocomputing, Vol. 150, Part A, pp. 163--172, February 2015.

  75. Carlos Segura, Carlos A. Coello Coello, Eduardo Segredo and Coromoto León, On the Adaptation of the Mutation Scale Factor in Differential Evolution, Optimization Letters, pp. 189--198, Vol. 9, No. 1, January 2015.

  76. Carlos Segura, Carlos A. Coello Coello and Alfredo G. Hernández-Díaz, Improving the Vector Generation Strategy of Differential Evolution for Large-Scale Optimization, Information Sciences, Vol. 323, pp. 106--129, 1 December 2015.

  77. Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyophadyay and Carlos Artemio Coello Coello, A Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part I, IEEE Transactions on Evolutionary Computation, Vol. 18, No. 1, pp. 4--19, February 2014.

  78. Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyophadyay and Carlos Artemio Coello Coello, A Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part II, IEEE Transactions on Evolutionary Computation, Vol. 18, No. 1, pp. 20--35, February 2014.

  79. Gustavo Zavala, Antonio J. Nebro, Francisco Luna and Carlos A. Coello Coello, A Survey of Multi-Objective Metaheuristics Applied to Structural Optimization, Structural and Multidisciplinary Optimization, Vol. 49, No. 4, pp. 537--558, April 2014.

  80. Isolina Alberto, Carlos A. Coello Coello and Pedro M. Mateo, A Comparative Study of Variation Operators used for Evolutionary Multi-Objective Optimization, Information Sciences, Vol. 273, pp. 33--48, 20 July 2014.

  81. Antonio López Jaimes, Carlos A. Coello Coello, Hernán Aguirre and Kiyoshi Tanaka. Objective Space Partitioning Using Conflict Information for Solving Many-Objective Problems, Information Sciences, Vol. 268, pp. 305--327, 1 June 2014.

  82. Miguel A. Medina, Juan M. Ramírez, Carlos A. Coello and Swagatam Das. Use of a multi-objective teaching-learning algorithm for reduction of power losses in a power test system, DYNA, Vol. 81, No. 185, pp. 196--203, June 2014, ISSN 0012-7353.

  83. Antonio López Jaimes and Carlos A. Coello Coello. Including preferences into a multiobjective evolutionary algorithm to deal with many-objective engineering optimization problems, Information Sciences, Vol. 277, pp. 1--20, September 1, 2014.

  84. Miguel A. Medina, Swagatam Das, Carlos A. Coello Coello, and Juan M. Ramírez, Decomposition-based Modern Metaheuristic Algorithms for Multi-Objective Optimal Power Flow--A Comparative Study, Engineering Applications of Artificial Intelligence, Vol. 32, pp. 10--20, June 2014.

  85. Alejandro Rosales-Pérez, Jesus A. Gonzalez, Carlos A. Coello Coello, Hugo Jair Escalante and Carlos A. Reyes-Garcia, Multi-Objective Model Type Selection, Neurocomputing, Vol. 46, pp. 83--94, 25 December 2014.

  86. Antonin Ponsich and Carlos A. Coello Coello. A Hybrid Differential Evolution-Tabu Search Algorithm for the Solution of Job-Shop Scheduling Problems, Applied Soft Computing, Vol. 13, No. 1, pp. 462--474, January 2013.

  87. Eduardo Fernández, Edy López, Gustavo Mazcorro, Rafael Olmedo and Carlos A. Coello Coello. Application of the non-outranked sorting genetic algorithm to public project portfolio selection, Information Sciences, Vol. 228, pp. 131--149, 10 April 2013.

  88. Antonin Ponsich, Antonio López Jaimes and Carlos A. Coello Coello. Multi-Objective Evolutionary Algorithms for Portfolio Optimization and other Finance and Economics Applications: A Survey, IEEE Transactions on Evolutionary Computation, Vol. 17, No. 3, pp. 321--344, June 2013.

  89. Eduardo Vázquez-Fernández, Carlos A. Coello Coello and Feliú D. Sagols Troncoso. An evolutionary algorithm with a history mechanism for tuning a chess evaluation function, Applied Soft Computing, Vol. 13, No. 7, pp. 3234--3247, July 2013.

  90. Carlos Segura, Carlos A. Coello Coello, Gara Miranda and Coromoto León. Using Multi-objective Evolutionary Algorithms for Single-Objective Optimization, 4OR--A Quarterly Journal of Operations Research, Vol. 11, No. 3, pp. 201--228, September 2013.

  91. Miguel A. Medina, Carlos A. Coello Coello and Juan M. Ramirez. Reactive Power Handling by a Multi-Objective Teaching Learning Optimizer based on Decomposition, IEEE Transactions on Power Systems, Vol. 28, No. 4, pp. 3629--3637, November 2013.

  92. Alfredo Arias-Montaño, Carlos A. Coello Coello and Efrén Mezura-Montes, Multi-Objective Evolutionary Algorithms in Aeronautical and Aerospace Engineering, IEEE Transactions on Evolutionary Computation, Vol. 16, No. 5, pp. 662--694, October 2012.

  93. Oliver Schütze, Xavier Esquivel, Adriana Lara and Carlos A. Coello Coello, Using the Averaged Hausdorff Distance as a Performance Measure in Evolutionary Multi-Objective Optimization, IEEE Transactions on Evolutionary Computation, Vol. 16, No. 4, pp. 504--522, August 2012.

  94. B. Bernábe-Loranca, C.A. Coello-Coello and M. Osorio-Lama. A Multiobjective Approach for the Heuristic Optimization of Compactness and Homogeneity in the Optimal Zoning, Journal of Applied Research and Technology, Vol. 10, No. 3, pp. 447--457, June 2012.

  95. Mario Villalobos-Arias, Gregorio Toscano Pulido and Carlos A. Coello Coello. A New Mechanism to Maintain Diversity in Multi-Objective Metaheuristics, Optimization, Vol. 61, No. 7, pp. 823--854, July 2012.

  96. Carlos A. Coello Coello. Research Directions in Evolutionary Multi-Objective Optimization. Current and Future Research Topics, Transactions of the Japanese Society for Evolutionary Computation, Vol. 3, No. 3, pp. 110--121, December 2012.

  97. Oliver Schütze, Adriana Lara, Carlos A. Coello Coello and Massimiliano Vasile, On the Detection of Nearly Optimal Solutions in the Context of Single-Objective Space Mission Design Problems, Proceedings of the Institution of Mechanical Engineers, Part G, Journal of Aerospace Engineering, Vol. 225, No. 11, pp. 1229--1242, 2011.

  98. Efrén Mezura-Montes and Carlos A. Coello Coello, Constraint-Handling in Nature-Inspired Numerical Optimization: Past, Present and Future., Swarm and Evolutionary Computation, Vol. 1, No. 4, pp. 173--194, December 2011.

  99. D.A. Bloch and C.A. Coello Coello. Smiling at Evolution, Applied Soft Computing, Vol. 11, No. 8, pp. 5724--5734, December 2011.

  100. Leticia Cecilia Cagnina, Susana Cecilia Esquivel and Carlos A. Coello Coello, Solving Constrained Optimization Problems with a Hybrid Particle Swarm Optimization Algorithm, Engineering Optimization, Vol. 43, No. 8, pp. 843--866, August 2011.

  101. Oliver Schütze, Adriana Lara, Carlos A. Coello Coello, On the Influence of the Number of Objectives on the Hardness of a Multi-Objective Optimization Problem, IEEE Transactions on Evolutionary Computation, Vol. 15, No. 4, pp. 444--455, August 2011.

  102. Carlos A. Coello Coello, Evolutionary Multi-Objective Optimization, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 1, No. 5, pp. 444--447, September/October 2011.

  103. Alfredo G. Hernández-Díaz, Luis V. Santana-Quintero, Carlos A. Coello Coello, Julián Molina and Rafael Caballero, Improving the efficiency of ε-dominance based grids, Information Sciences, Vol. 181, No. 15, pp. 3101--3129, 1 August 2011.

  104. Edgar Alfredo Portilla-Flores, Efrén Mezura-Montes, Jaime Alvarez Gallegos, Carlos A. Coello-Coello, Carlos A. Cruz-Villar and Miguel G. Villareal-Cervantes, Parametric Reconfiguration Improvement in Non-Iterative Concurrent Mechatronic Design Using an Evolutionary-Based Approach., Engineering Applications of Artificial Intelligence, Vol. 24, No. 5, pp. 757--771, August 2011.

  105. Victoria S. Aragón, Susana C. Esquivel and Carlos A. Coello Coello, A T-Cell Algorithm for Solving Dynamic Optimization Problems, Information Sciences, Vol. 181, No. 17, pp. 3614--3637, 1 September 2011.

  106. Luis Martí, Jesús García, Antonio Berlanga, Carlos A. Coello Coello and José M. Molina, MB-GNG: Addressing Drawbacks in Multi-Objective Optimization Estimation of Distribution Algorithms, Operations Research Letters, Vol. 39, No. 2, pp. 150--154, March 2011.

  107. Leticia Cecilia Cagnina, Susana Cecilia Esquivel and Carlos A. Coello Coello, A Fast Particle Swarm Algorithm For Solving Smooth and Non-smooth Economic Dispatch Problems, Engineering Optimization, Vol. 43, No. 5, pp. 485--505, May 2011.

  108. Oliver Schütze, Massimiliano Vasile and Carlos A. Coello Coello, Computing the Set of epsilon-efficient Solutions in Multi-Objective Space Mission Design, Journal of Aerospace Computing, Information, and Communication, Vol. 8, No. 3, pp. 53--70, March 2011.

  109. Eduardo Fernández González, Edy López, Fernando López and Carlos A. Coello Coello, Increasing Selective Pressure Towards the Best Compromise in Evolutionary Multiobjective Optimization: The Extended NOSGA Method, Information Sciences, Vol. 181, pp. 44--56, 2011.

  110. Carlos Soza Canales, Ricardo Landa Becerra, María Cristina Riff and Carlos Coello Coello, Solving Timetabling Problems using a Cultural Algorithm, Applied Soft Computing, Vol. 11, No. 1, pp. 337--344, January 2011.

  111. Antonin Ponsich and Carlos A. Coello Coello, Differential Evolution performances for the solution of mixed integer constrained Process Engineering problems, Applied Soft Computing, Vol. 11, No. 1, pp. 399--409, January 2011.

  112. J.J. Durillo, A.J. Nebro, F. Luna, C.A. Coello Coello and E. Alba. Convergence Speed in Multi-Objective Metaheuristics: Efficiency Criteria and Empirical Study, International Journal for Numerical Methods in Engineering, Vol. 84, No. 11, pp. 1344--1375, 10 December, 2010.

  113. Daniel Ortiz-Arroyo, Francisco Rodríguez-Henríquez and Carlos A. Coello Coello. The Turing-850 Project: Developing a Personal Computer in the Early 1980s in Mexico, IEEE Annals of the History of Computing, Vol. 32, No. 4, pp. 60--71, October-December 2010.

  114. Gideon Avigad and Carlos A. Coello Coello, Highly Reliable Optimal Solutions to Multi Objective Problems and their Evolution by Means of Worst-case Analysis, Engineering Optimization, Vol. 42, No. 1, pp. 1095--1117, December 2010.

  115. Victoria S. Aragón, Susana C. Esquivel and Carlos A. Coello Coello, A Modified Version of a T-Cell Algorithm for Constrained Optimization Problems, International Journal for Numerical Methods in Engineering, Vol. 84, No. 3, pp. 351--378, 15 October 2010.

  116. J.J. Durillo, A.J. Nebro, C.A. Coello Coello, J. García-Nieto, F. Luna and E. Alba, A Study of Multi-Objective Metaheuristics when Solving Parameter Scalable Problems, IEEE Transactions on Evolutionary Computation, Vol. 14, No. 4, pp. 618--635, August 2010.

  117. Oliver Schuetze, Marco Laumanns, Emilia Tantar, Carlos A. Coello Coello and El-Ghazali Talbi, Computing gap-free Pareto front approximations with stochastic search algorithms, Evolutionary Computation, Vol. 18, No. 1, pp. 65--96, Spring 2010.

  118. M. Davarynejad, C. W. Ahn, J. Vrancken, J. van den Berg and C. A. Coello Coello, Evolutionary Hidden Information Detection by Granulation-Based Fitness Approximation, Applied Soft Computing, Vol. 10, No. 3, pp. 719--729, June 2010.

  119. Luis V. Santana-Quintero, Alfredo G. Hernández-Díaz, Julián Molina, Carlos A. Coello Coello and Rafael Caballero, DEMORS: A hybrid Multi-Objective Optimization Algorithm using Differential Evolution and Rough Sets for Constrained Problems, Computers & Operations Research, Vol. 37, No. 3, pp. 470--480, March 2010.

  120. Adriana Lara, Gustavo Sanchez, Carlos A. Coello Coello and Oliver Schütze. HCS: A New Local Search Strategy for Memetic Multi-Objective Evolutionary Algorithms, IEEE Transactions on Evolutionary Computation, Vol. 14, No. 1, pp. 112--132, February 2010.

  121. Eduardo Fernández, Edy López, Sergio Bernal, Carlos A. Coello Coello and Jorge Navarro, Evolutionary multiobjective optimization using an outranking-based dominance generalization, Computers & Operations Research, Vol. 37, No. 2, pp. 390--395, February 2010.

  122. J.E. Mendoza, M.E. López, C.A. Coello Coello and E.A. López, Microgenetic multiobjective reconfiguration algorithm considering power losses and reliability indices for medium voltage distribution network, IET Generation, Transmission & Distribution, Vol. 3, No. 9, pp. 825-840, September 2009.

  123. 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.

  124. Y. Pablo Oñate, Juan M. Ramirez and Carlos A. Coello Coello, An optimal power flow plus transmission costs solution, Electric Power Systems Research, Volume 79, No. 8, pp. 1240--1246, August 2009.

  125. Jorge E. Rodríguez, Andrés L. Medaglia and Carlos A. Coello Coello. Design of a motorcycle frame using neuroacceleration strategies in MOEAs, Journal of Heuristics, Vol. 15, No. 2, pp. 177--196, April 2009.

  126. Julián Molina, Luis V. Santana, Alfredo G. Hernández-Díaz, Carlos A. Coello Coello and Rafael Caballero. g-dominance: Reference point based dominance for Multi-Objective Metaheuristics, European Journal of Operational Research, Vol. 197, No. 2, pp. 685--692, September 2009.

  127. Guillermo Leguizamón and Carlos A. Coello Coello. Boundary Search for Constrained Numerical Optimization Problems with an Algorithm Inspired on the Ant Colony Metaphor, IEEE Transactions on Evolutionary Computation, Vol. 13, No. 2, pp. 350--368, April 2009.

  128. 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, February 2009.

  129. Nareli Cruz Cortés, Francisco Rodríguez-Henríquez and Carlos A. Coello Coello, An Artificial Immune System Heuristic for Generating Short Addition Chains, IEEE Transactions on Evolutionary Computation, Vol. 12, No. 1, pp. 1--24, February 2008.

  130. Pablo E. Oñate, Juan M. Ramirez and Carlos A. Coello Coello. Optimal power flow subject to security constraints solved with a particle swarm optimizer, IEEE Transactions on Power Systems, Vol. 23, No. 1, pp. 33--40, February 2008.

  131. Alfredo G. Hernández-Díaz, Luis V. Santana-Quintero, Carlos A. Coello Coello and Julián Molina, Pareto-adaptive epsilon-dominance, Evolutionary Computation, Vol. 15, No. 4, pp. 493--517, Winter 2007.

  132. Victoria S. Aragón, Susana C. Esquivel and Carlos A. Coello Coello, Artificial Immune System for Solving Constrained Optimization Problems, Revista Iberoamericana de Inteligencia Artificial, Vol. 11, No. 35, pp. 55-66, 2007, ISSN 1137-3601.

  133. Edgar A. Portilla-Flores, Efrén Mezura-Montes, Jaime Álvarez-Gallegos, Carlos A. Coello-Coello and Carlos A. Cruz-Villar. Integration of Structure and Control Using an Evolutionary Approach: An Application to the Optimal Concurrent Design of a CVT, International Journal for Numerical Methods in Engineering, Vol. 71, No. 8, pp. 883-901, August 2007.

  134. E. Mezura-Montes, C. A. Coello Coello, J. Velázquez-Reyes and L. Muñoz-Dávila, Multiple trial vectors in differential evolution for engineering design, Engineering Optimization, Vol. 39, No. 5, pp. 567-589, July 2007.

  135. Antonio López Jaimes and Carlos A. Coello Coello, MRMOGA: A New Parallel Multi-Objective Evolutionary Algorithm Based on the Use of Multiple Resolutions, Concurrency and Computation: Practice and Experience, Vol. 19, No. 4, pp. 397-441, March 25, 2007.

  136. Enrique Alba, Gabriel Luque, Carlos A. Coello Coello and Erika Hernández Luna, A Comparative Study of Serial and Parallel Heuristics Used to Design Combinational Logic Circuits, Optimization Methods and Software, Vol. 22, No. 3, pp. 485-509, June 2007.

  137. Jorge Mendoza, Dario Morales, Rodrigo López, Enrique López, Jean-Claude Vannier and Carlos A. Coello Coello, Multi-objective Location of Automatic Voltage Regulators in a Radial Distribution Network Using a Micro Genetic Algorithm, IEEE Transactions on Power Systems, Vol. 22, No. 1, pp. 404-411, February 2007.

  138. Daniel Cortés Rivera, Ricardo Landa Becerra and Carlos A. Coello Coello, Cultural Algorithms, an Alternative Heuristic to Solve the Job Shop Scheduling Problem, Engineering Optimization, Vol. 39, No. 1, pp. 69-85, January 2007.

  139. Susana C. Esquivel and Carlos A. Coello Coello, Hybrid Particle Swarm Optimizer for a Class of Dynamic Fitness Landscape, Engineering Optimization, Vol. 38, No. 8, pp. 873-888, December 2006.

  140. Mario Villalobos-Arias, Carlos A. Coello Coello, Onésimo Hernández-Lerma, Asymptotic Convergence of a Simulated Annealing Algorithm for Multiobjective Optimization Problems, Mathematical Methods of Operations Research, Vol. 64, No. 2, pp. 353-362, October 2006.

  141. Mario Villalobos-Arias, Carlos A. Coello Coello and Onésimo Hernández-Lerma, Asymptotic Convergence of Metaheuristics for Multiobjective Optimization Problems, Soft Computing, Vol. 10, No. 11, pp. 1001-1005, September 2006.

  142. Margarita Reyes-Sierra and Carlos A. Coello Coello, Multi-Objective Particle Swarm Optimizers: A Survey of the State-of-the-Art, International Journal of Computational Intelligence Research, Vol. 2, No. 3, pp. 287-308, 2006.

  143. Ricardo Landa Becerra and Carlos A. Coello Coello, Cultured differential evolution for constrained optimization, Computer Methods in Applied Mechanics and Engineering, Vol. 195, Nos. 33--36, pp. 4303-4322, July 1, 2006.

  144. 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.

  145. 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.

  146. Luis Vicente Santana-Quintero and Carlos A. Coello Coello, An Algorithm Based on Differential Evolution for Multi-Objective Problems,A International Journal of Computational Intelligence Research, Vol. 1, No. 2, pp. 151--169, 2005, ISSN 0973-1873.

  147. 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 .

  148. Victoria Aragón, Susana Esquivel and Carlos A. Coello Coello, Evolutionary Multiobjective Optimization in Non-Stationary Environments, Journal of Computer Science & Technology, Vol. 5, No. 3, pp. 133--143, October 2005, ISSN 1666-6038 .

  149. Xiaolin Hu, Carlos A. Coello Coello and Zhangcan Huan, A New Multi-Objective Evolutionary Algorithm Derived from the Line-Up Competition Algorithm, Engineering Optimization, Vol. 37, No. 4, pp. 351--379, June 2005.

  150. 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 .

  151. Efrén Mezura Montes and Carlos A. Coello Coello, A Simple Multi-Membered Evolution Strategy to Solve Constrained Optimization Problems, IEEE Transactions on Evolutionary Computation, Vol. 9, No. 1, pp. 1--17, February 2005.

  152. Eduardo Islas Pérez, Carlos A. Coello Coello, and Arturo Hernández Aguirre, Extraction and Reuse of Design Patterns from Genetic Algorithms using Case-Based Reasoning, Soft Computing---A Fusion of Foundations, Methodologies and Applications, Springer-Verlag, Vol. 9, No. 1, pp. 44--53, January 2005.

  153. 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.

  154. Arturo Hernández Aguirre and Carlos A. Coello Coello, Using Genetic Programming and Multiplexers for the Synthesis of Logic Circuits, Engineering Optimization, Vol. 36, No. 4, pp. 491--511, August 2004.

  155. 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.

  156. Carlos A. Coello Coello and Ricardo Landa Becerra, Efficient Evolutionary Optimization through the use of a Cultural Algorithm, Engineering Optimization, Vol. 36, No. 2, pp. 219--236, April 2004.

  157. Coello Coello, Carlos A. and Christiansen, Alan D. MOSES : A Multiobjective Optimization Tool for Engineering Design, Engineering Optimization, Vol. 31, No. 3, pp. 337-368.

  158. Coello Coello, Carlos A. A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques, Knowledge and Information Systems, Vol. 1, No. 3, pp. 269-308, August 1999.

  159. Coello Coello, Carlos A. Use of a Self-Adaptive Penalty Approach for Engineering Optimization Problems, Computers in Industry, Vol. 41, No. 2, pp. 113-127, January 2000.

  160. Coello Coello, Carlos A. Treating Constraints as Objectives for Single-Objective Evolutionary Optimization, Engineering Optimization, Vol. 32, No. 3, pp. 275-308, February 2000.

  161. Coello Coello, Carlos A. & Alan D. Christiansen Multiobjective optimization of trusses using genetic algorithms, Computers and Structures, Vol. 75, No. 6, pp. 647-660, April 2000.

  162. Coello Coello, Carlos A. An Updated Survey of GA-Based Multiobjective Optimization Techniques, ACM Computing Surveys, ACM Press, Vol. 32, No. 2, pp. 109--143, June 2000.

  163. Coello Coello, Carlos A.; Christiansen, Alan D. & Hernández Aguirre, Arturo, Use of Evolutionary Techniques to Automate the Design of Combinational Circuits, International Journal of Smart Engineering System Design, Elsevier Science, Vol. 2, No. 4, pp. 299-314, June 2000.

  164. Coello Coello, Carlos A.; Christiansen, Alan D. & Hernández Aguirre, Arturo, Towards Automated Evolutionary Design of Combinational Circuits, Computers and Electrical Engineering, Pergamon Press, Vol. 27, No. 1, pp. 1-28, January 2001.

  165. Coello Coello, Carlos A., Constraint-handling using an evolutionary multiobjective optimization technique, Civil Engineering Systems, Gordon and Breach Science Publishers, Vol. 17, pp. 319--346, 2000.

  166. Coello Coello, Carlos A. 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, January 2002

  167. Coello Coello, Carlos A. Theoretical and Numerical Constraint-Handling Techniques used with Evolutionary Algorithms: A Survey of the State of the Art, Computer Methods in Applied Mechanics and Engineering, Vol. 191, No. 11--12, pp. 1245--1287, January 2002.

  168. Coello Coello, Carlos A., Zavala Gutiérrez, Rosa Laura, Mendoza García, Benito, Hernández Aguirre, Arturo, Automated Design of Combinational Logic Circuits using the Ant System, Engineering Optimization, Vol. 34, No. No. 2, pp. 109-127, March 2002.

  169. Coello Coello, Carlos A. and Mezura Montes, Efrén, Constraint-Handling in Genetic Algorithms Through the Use of Dominance-based Tournament Selection, Advanced Engineering Informatics, Vol. 16, No. 3, pp. 193--203, July 2002.

  170. Islas Pérez, Eduardo, Coello Coello, Carlos A. and Hernández Aguirre, Arturo, Extracting and Re-Using Design Patterns from Genetic Algorithms using Case-Based Reasoning, Engineering Optimization, Volume 35, No. 2, pp. 121--141, April 2003.










International Conferences





  1. Diana Cristina Valencia-Rodríguez and Carlos A. Coello Coello, The Influence of Swarm Topologies in Many-Objective Optimization Problems, in Hisao Ishibuchi, Qingfu Zhang, Ran Cheng, Ke Li, Hui Li, Handing Wang and Aimin Zhou (Editors), Evolutionary Multi-Criterion Optimization, 11th International Conference, EMO 2021, pp. 387--398, Springer. Lecture Notes in Computer Science Vol. 12654, Shenzhen, China, March 28-31, 2021, ISBN 978-3-030-72061-2.

  2. Jesús Guillermo Falcón-Cardona, Edgar Covantes Osuna and Carlos A. Coello Coello, An Overview of Pair-Potential Functions for Multi-objective Optimization, in Hisao Ishibuchi, Qingfu Zhang, Ran Cheng, Ke Li, Hui Li, Handing Wang and Aimin Zhou (Editors), Evolutionary Multi-Criterion Optimization, 11th International Conference, EMO 2021, pp. 401--412, Springer. Lecture Notes in Computer Science Vol. 12654, Shenzhen, China, March 28-31, 2021, ISBN 978-3-030-72061-2.

  3. Sumit Mishra, Srinibas Swain, Sangita Sarmah and Carlos A. Coello Coello, Hypervolume by Slicing Objective Algorithm: An Improved Version, in 2021 IEEE Congress on Evolutionary Computation (CEC'2021), pp. 2451--2458, IEEE Press, Kraków, Poland, 28 June - 1 July, 2021, ISBN 978-1-7281-8394-7.

  4. Diana Cristina Valencia Rodriguez and Carlos Artemio Coello Coello, An Ensemble of Scalarizing Functions and Weight Vectors for Evolutionary Multi-Objective Optimization, in 2021 IEEE Congress on Evolutionary Computation (CEC'2021), pp. 2459--2467, IEEE Press, Kraków, Poland, 28 June - 1 July, 2021, ISBN 978-1-7281-8394-7.

  5. Ali Ahrari, Saber Elsayed, Ruhul Sarker, Daryl Essam and Carlos Coello Coello, Modular Analysis and Development of a Genetic Algorithm with Standardized Representation for Resource-Constrained Project Scheduling, in 2021 IEEE Congress on Evolutionary Computation (CEC'2021), pp. 612--619, IEEE Press, Kraków, Poland, 28 June - 1 July, 2021, ISBN 978-1-7281-8394-7.

  6. Amin V. Bernabe Rodriguez and Carlos A. Coello Coello, An Empirical Study on the Use of the S-energy Performance Indicator in Mating Restriction Schemes for Multi-Objective Optimizers, in 2021 IEEE Congress on Evolutionary Computation (CEC'2021), pp. 1201--1208, IEEE Press, Kraków, Poland, 28 June - 1 July, 2021, ISBN 978-1-7281-8394-7.

  7. Marco Baioletti, Carlos Coello Coello, Gabriele Di Bari and Valentina Poggioni, Smart Multi-Objective Evolutionary GAN, in 2021 IEEE Congress on Evolutionary Computation (CEC'2021), pp. 2218--2225, IEEE Press, Kraków, Poland, 28 June - 1 July, 2021, ISBN 978-1-7281-8394-7.

  8. Lucija Planinic, Marko Djurasevic, Luca Mariot, Domagoj Jakobovic, Stjepan Picek and Carlos Coello Coello, On the genotype compression and expansion for evolutionary algorithms in the continuous domain, in GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp. 1208--1216, ACM Press, Lille, France, 10-14 July 2021, ISBN 978-1-4503-8351-6.

  9. Amín V. Bernabé Rodríguez, Carlos A. Coello Coello, An Ensemble of S-energy Based Mating Restrictions for Multi-Objective Evolutionary Algorithms, in 2021 IEEE Symposium Series on Computational Intelligence (SSCI'2021), IEEE Press, Orlando, Florida, USA, 4-7 December 2021. ISBN 978-1-7281-9048-8/21.

  10. Sofien Boutaib, Slim Bechikh, Carlos A. Coello Coello, Chih-Cheng Hung and Lamjed Ben Said, Handling Uncertainty in Code Smells Detection using a Possibilistic SBSE Approach, in Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pp. 303-304, ACM Press, Cancún, México, July 8-12, 2020, ISBN 978-1-4503-7127-8.

  11. Marco Baioletti, Carlos Artemio Coello Coello, Gabriele Di Bari and Valentina Poggioni, Multi-Objective Evolutionary GAN, in Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pp. 1824-1831, ACM Press, Cancún, México, July 8-12, 2020, ISBN 978-1-4503-7127-8.

  12. Luis Miguel Antonio, Carlos A. Coello Coello, Mario A. Ramírez Morales, Silvia Gonzalez Brambila, Josué Figueroa Gonzalez and Guadalupe Castillo Tapia, Coevolutionary Operations for Large Scale Multi-objective Optimization, in 2020 IEEE Congress on Evolutionary Computation (CEC'2020), Glasgow, Scotland, 19-24 July, 2020, ISBN 978-1-7281-6929-3.

  13. Jesús Guillermo Falcón-Cardona, Hisao Ishibuchi and Carlos A. Coello Coello, Riesz s-energy-based Reference Sets for Multi-Objective Optimization, in 2020 IEEE Congress on Evolutionary Computation (CEC'2020), Glasgow, Scotland, 19-24 July, 2020, ISBN 978-1-7281-6929-3.

  14. Saber Elsayed, Ruhul Sarker, Noha Hamza, Carlos Coello Coello and Efrén Mezura-Montes, Enhancing Evolutionary Algorithms by Efficient Population Initialization for Constrained Problems, in 2020 IEEE Congress on Evolutionary Computation (CEC'2020), Glasgow, Scotland, 19-24 July, 2020, ISBN 978-1-7281-6929-3.

  15. Jesús Guillermo Falcón-Cardona, Arnaud Liefooghe and Carlos A. Coello Coello, An Ensemble Indicator-based Density Estimator for Evolutionary Multi-objective Optimization, in Thomas Bäck, Mike Preuss, André Deutz, Hao Wang, Carola Doerr, Michael Emmerich and Heike Trautmann (Editors), Parallel Problem Solving from Nature -- PPSN XVI, 16th International Conference, PPSN 2020. Proceedings, Part II, pp. 201--214, Springer. Lecture Notes in Computer Science Vol. 12270, Leiden, The Netherlands, September 5-9, 2020, ISBN 978-3-030-58115-2.

  16. Amín V. Bernabé Rodríguez and Carlos A. Coello Coello, Generation of New Scalarizing Functions Using Genetic Programming, in Thomas Bäck, Mike Preuss, André Deutz, Hao Wang, Carola Doerr, Michael Emmerich and Heike Trautmann (Editors), Parallel Problem Solving from Nature -- PPSN XVI, 16th International Conference, PPSN 2020. Proceedings, Part II, pp. 3--17, Springer. Lecture Notes in Computer Science Vol. 12270, Leiden, The Netherlands, September 5-9, 2020, ISBN 978-3-030-58115-2.

  17. Diana Cristina Valencia-Rodríguez and Carlos A. Coello Coello, A Study of Swarm Topologies and Their Influence in the Performance of Multi-Objective Particle Swarm Optimizers, in Thomas Bäck, Mike Preuss, André Deutz, Hao Wang, Carola Doerr, Michael Emmerich and Heike Trautmann (Editors), Parallel Problem Solving from Nature -- PPSN XVI, 16th International Conference, PPSN 2020. Proceedings, Part II, pp. 285--298, Springer. Lecture Notes in Computer Science Vol. 12270, Leiden, The Netherlands, September 5-9, 2020, ISBN 978-3-030-58115-2.

  18. Lino Rodriguez-Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante and Carlos A. Coello Coello, Cooperative Co-Evolutionary GP for High Dimensional Problems, in Thomas Bäck, Mike Preuss, André Deutz, Hao Wang, Carola Doerr, Michael Emmerich and Heike Trautmann (Editors), Parallel Problem Solving from Nature -- PPSN XVI, 16th International Conference, PPSN 2020. Proceedings, Part II, pp. 48--62, Springer. Lecture Notes in Computer Science Vol. 12270, Leiden, The Netherlands, September 5-9, 2020, ISBN 978-3-030-58115-2.

  19. Oscar Pacheco-Del-Moral and Carlos A. Coello Coello, A SHADE-Based Algorithm for Large Scale Global Optimization, in Thomas Bäck, Mike Preuss, André Deutz, Hao Wang, Carola Doerr, Michael Emmerich and Heike Trautmann (Editors), Parallel Problem Solving from Nature -- PPSN XVI, 16th International Conference, PPSN 2020. Proceedings, Part I, pp. 650--663, Springer. Lecture Notes in Computer Science Vol. 12270, Leiden, The Netherlands, September 5-9, 2020, ISBN 978-3-030-58111-2.

  20. Jesús Guillermo Falcón-Cardona, Hisao Ishibuchi and Carlos Artemio Coello Coello, Exploiting the Trade-off between Convergence and Diversity Indicators, in 2020 IEEE Symposium Series on Computational Intelligence (SSCI'2020), pp. 141--148, IEEE Press, Canberra, Australia, December 1-4, 2020, ISBN 978-1-7281-2548-0.

  21. Ali Ahrari, Saber Elsayed, Ruhul Sarker, Daryl Essam and Carlos Coello, Towards a More Practically Sound Formulation of Dynamic Problems and Performance Evaluation of Dynamic Search Methods, in 2020 IEEE Symposium Series on Computational Intelligence (SSCI'2020), pp. 1387--1394, IEEE Press, Canberra, Australia, December 1-4, 2020, ISBN 978-1-7281-2548-0.

  22. Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello and Michael T.M. Emmerich, CRI-EMOA: A Pareto-Front Shape Invariant Evolutionary Multi-Objective Algorithm, in Kalyanmoy Deb, Erik Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim and Patrick Reed (Editors), Evolutionary Multi-Criterion Optimization, 10th International Conference, EMO 2019, pp. 307--318, Springer. Lecture Notes in Computer Science Vol. 11411, East Lansing, Michigan, USA, March 10-13, 2019, ISBN 978-3-030-12597-4.

  23. Forhad Zaman, Saber Elsayed, Ruhul Sarker, Daryl Essam and Carlos A. Coello Coello, Evolutionary Algorithm for Project Scheduling under Irregular Resource Changes, in 2019 IEEE Congress on Evolutionary Computation (CEC'2019), pp. 403--410, IEEE Press, Wellington, New Zealand, 10-13 June 2019, ISBN 978-1-7281-2153-6.

  24. Sumit Mishra and Carlos A. Coello Coello, Parallel Best Order Sort for Non-dominated Sorting: A Theoretical Study Considering the PRAM-CREW Model, in 2019 IEEE Congress on Evolutionary Computation (CEC'2019), pp. 1022--1029, IEEE Press, Wellington, New Zealand, 10-13 June 2019, ISBN 978-1-7281-2153-6.

  25. Sumit Mishra and Carlos A. Coello Coello, An Approach for Non-domination Level Update Problem in Steady-State Evolutionary Algorithms With Parallelism, in 2019 IEEE Congress on Evolutionary Computation (CEC'2019), pp. 1006--1013, IEEE Press, Wellington, New Zealand, 10-13 June 2019, ISBN 978-1-7281-2153-6.

  26. Wenjian Luo, Luming Shi, Xin Lin and Carlos A. Coello Coello, The ĝ-dominance Relation for Preference-Based Evolutionary Multi-Objective Optimization, in 2019 IEEE Congress on Evolutionary Computation (CEC'2019), pp. 2418--2425, IEEE Press, Wellington, New Zealand, 10-13 June 2019, ISBN 978-1-7281-2153-6.

  27. Jesús Guillermo Falcón-Cardona, Michael T.M. Emmerich and Carlos A. Coello Coello, On the Cooperation of Multiple Indicator-based Multi-Objective Evolutionary Algorithms, in 2019 IEEE Congress on Evolutionary Computation (CEC'2019), pp. 2050--2057, IEEE Press, Wellington, New Zealand, 10-13 June 2019, ISBN 978-1-7281-2153-6.

  28. Saku Kukkonen and Carlos Coello Coello, A Simple and Effective Termination Condition for Both Single- and Multi-Objective Evolutionary Algorithms, in 2019 IEEE Congress on Evolutionary Computation (CEC'2019), pp. 3053--3059, IEEE Press, Wellington, New Zealand, 10-13 June 2019, ISBN 978-1-7281-2153-6.

  29. Jesús Guillermo Falcón-Cardona and Carlos A. Coello Coello, Convergence and Diversity Analysis of Indicator-based Multi-Objective Evolutionary Algorithms, in 2019 Genetic and Evolutionary Computation Conference (GECCO'2019), pp. 524--531, ACM Press, Prague, Czech Republic, 13-17 July, 2019, ISBN 978-1-4503-6111-8.

  30. Luis Miguel Antonio, Carlos A. Coello Coello, Silvia González Brambila, Josué Figueroa González ad Guadalupe Castillo Tapia, Operational Decomposition for Large Scale Multi-objective Optimization Problems, in 2019 Genetic and Evolutionary Computation Conference (GECCO'2019) Companion, pp. 225--226, ACM Press, Prague, Czech Republic, 13-17 July, 2019, ISBN 978-1-4503-6748-6.

  31. Jorge Jiménez Montiel, Carlos A. Coello Coello and Ma. Guadalupe Castillo Tapia, A Proposal of a Multi-Objective Compact Particle Swarm Optimizer, in 2019 IEEE Symposium Series on Computational Intelligence (SSCI'2019), pp. 2279-2288, IEEE Press, Xiamen, China, December 4-9, 2019, ISBN 978-1-7281-2484-1.

  32. Sumit Mishra and Carlos A. Coello Coello, P-ENS: Parallelism in Efficient Non-dominated Sorting, in 2018 IEEE Congress on Evolutionary Computation (CEC'2018), pp. 508--515, IEEE Press, Rio de Janeiro, Brazil, 8-13 July, 2018, ISBN 978-1-5090-6017-7.

  33. Miriam Pescador-Rojas and Carlos A. Coello Coello, Collaborative and Adaptive Strategies of Different Scalarizing Functions in MOEA/D, in 2018 IEEE Congress on Evolutionary Computation (CEC'2018), pp. 709--716, IEEE Press, Rio de Janeiro, Brazil, 8-13 July, 2018, ISBN 978-1-5090-6017-7.

  34. Alejandro Rosales-Pérez, Andres E. Gutierrez-Rodríguez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello and Francisco Herrera, Cooperative Multi-Objective Evolutionary Support Vector Machines for Multiclass Problems, in 2018 Genetic and Evolutionary Computation Conference (GECCO'2018), pp. 513--520, ACM Press, Kyoto, Japan, 15-19 July, 2018, ISBN 978-1-4503-5618-3.

  35. Jesús Guillermo Falcón-Cardona and Carlos A. Coello Coello, Multi-Objective Evolutionary Hyper-heuristic based on Multiple Indicator-based Density Estimators, in 2018 Genetic and Evolutionary Computation Conference (GECCO'2018), pp. 633--640, ACM Press, Kyoto, Japan, 15-19 July, 2018, ISBN 978-1-4503-5618-3.

  36. Edgar Manoatl Lopez and Carlos A. Coello Coello, An Improved Version of a Reference-Based Multi-Objective Evolutionary Algorithm based on IGD+, in 2018 Genetic and Evolutionary Computation Conference (GECCO'2018), pp. 713--720, ACM Press, Kyoto, Japan, 15-19 July, 2018, ISBN 978-1-4503-5618-3.

  37. Miriam Pescador-Rojas and Carlos A. Coello Coello, Studying the Effect of Techniques to Generate Reference Vectors in Many-objective Optimization, in GECCO'18: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp. 193--194, ACM Press, Kyoto, Japan, 15-19 July, 2018, ISBN 978-1-4503-5764-7.

  38. Edgar Manoatl Lopez and Carlos A. Coello Coello, Use of Reference Point Sets in a Decomposition-based Multi-Objective Evolutionary Algorithm, in Ann Auger, Carlos M. Fonseca, Nuno Lourenço, Penousal Machado, Luís Paquete and Darrell Whitley (Editors), Parallel Problem Solving from Nature -- PPSN XV, 15th International Conference, Proceedings, Part I, pp. 372--383, Springer. Lecture Notes in Computer Science Vol. 11101, Coimbra, Portugal, September 8-12, 2018, ISBN 978-3-319-99258-7.

  39. Jesús Guillermo Falcón-Cardona and Carlos A. Coello Coello, Towards a More General Many-Objective Evolutionary Optimizer, in Ann Auger, Carlos M. Fonseca, Nuno Lourenço, Penousal Machado, Luís Paquete and Darrell Whitley (Editors), Parallel Problem Solving from Nature -- PPSN XV, 15th International Conference, Proceedings, Part I, pp. 335--346, Springer. Lecture Notes in Computer Science Vol. 11101, Coimbra, Portugal, September 8-12, 2018, ISBN 978-3-319-99258-7.

  40. Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín and Carlos A. Coello Coello, Tailoring Instances of the 1D Bin Packing Problem for Assessing Strengths and Weaknesses of its Solvers, in Ann Auger, Carlos M. Fonseca, Nuno Lourenço, Penousal Machado, Luís Paquete and Darrell Whitley (Editors), Parallel Problem Solving from Nature -- PPSN XV, 15th International Conference, Proceedings, Part II, pp. 373--384, Springer. Lecture Notes in Computer Science Vol. 11102, Coimbra, Portugal, September 8-12, 2018, ISBN 978-3-319-99258-7.

  41. Antonio J. Nebro, Juan J. Durillo, José García-Nieto, Cristóbal Barba-González, Javier Del Ser, Carlos A. Coello Coello, Antonio Benítez-Hidalgo and José F. Aldana-Montes, Extending the Speed-constrained Multi-Objective PSO (SMPSO) With Reference Point Based Preference Articulation, in Ann Auger, Carlos M. Fonseca, Nuno Lourenço, Penousal Machado, Luís Paquete and Darrell Whitley (Editors), Parallel Problem Solving from Nature -- PPSN XV, 15th International Conference, Proceedings, Part I, pp. 298--310, Springer. Lecture Notes in Computer Science Vol. 11101, Coimbra, Portugal, September 8-12, 2018, ISBN 978-3-319-99258-7.

  42. Nicolás Rojas-Morales, María-Cristina Riff and Carlos A. Coello Coello, A Cooperative Opposite-Inspired Learning Strategy for Ant-based Algorithms, in Marco Dorigo, Mauro Birattari, Christian Blum, Ander K. Christensen, Andreagiovanni Reina and Vito Trianni (Editors), Swarm Intelligence, 11th International Conference, ANTS 2018, pp. 317--324, Springer, Lecture Notes in Computer Science Vol. 11172, Rome, Italy, October 29-31, 2018, ISBN 978-3-030-00532-0.

  43. Ashraf M. Abdelbar, Khalid M. Salama, Jesús Guillermo Falcón-Cardona and Carlos A. Coello Coello, An Adaptive Recombination-Based Extension of the iMOACO_R Algorithm, in 2018 Symposium Series on Computational Intelligence (SSCI'2018), pp. 735--742, IEEE Press, Bengaluru, India, 18-21 November, 2018, ISBN 978-1-5386-9276-9.

  44. Miriam Pescador-Rojas, Denis Pallez, Carlos Hernández Castellanos and Carlos A. Coello Coello, Studying the effect of robust measures in offline parameters tuning for estimating the MOEA/D performance, in 2018 Symposium Series on Computational Intelligence (SSCI'2018), pp. 204--211, IEEE Press, Bengaluru, India, 18-21 November, 2018, ISBN 978-1-5386-9276-9.

  45. Miriam Pescador-Rojas, Raquel Hernández Gómez, Elizabeth Montero, Nicolás Rojas-Morales, María-Cristina Riff and Carlos A. Coello Coello, An Overview of Weighted and Unconstrained Scalarizing Functions, in Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret Wiecek, Yaochu Jin and Christian Grimme (Editors), Evolutionary Multi-Criterion Optimization, 9th International Conference, EMO 2017, pp. 499--513, Springer, Lecture Notes in Computer Science Vol. 10173, Münster, Germany, March 19-22, 2017, ISBN 978-3-319-54156-3.

  46. Alejandro Rosales-Pérez, Andrés E. Gutiérrez-Rodríguez, José C. Ortiz-Bayliss, Hugo Terashima-Marín and Carlos A. Coello Coello, Evolutionary Multilabel Hyper-Heuristic Design, in 2017 IEEE Congress on Evolutionary Computation (CEC'2017), pp. 2622--2629, IEEE Press, San Sebastián, Spain, June 5-8, 2017, ISBN 978-1-5090-4601-0.

  47. Edgar Manoatl Lopez and Carlos A. Coello Coello, Improving the Integration of the IGD+ Indicator into the Selection Mechanism of a Multi-objective Evolutionary Algorithm, in 2017 IEEE Congress on Evolutionary Computation (CEC'2017), pp. 2683--2690, IEEE Press, San Sebastián, Spain, June 5-8, 2017, ISBN 978-1-5090-4601-0.

  48. Iván Amaya, José Carlos Ortiz-Bayliss, Andrés Eduardo Gutiérrez-Rodríguez, Hugo Terashima-Marín and Carlos A. Coello Coello, Improving Hyper-heuristic Performance Through Feature Transformation, in 2017 IEEE Congress on Evolutionary Computation (CEC'2017), pp. 2614--2621, IEEE Press, San Sebastián, Spain, June 5-8, 2017, ISBN 978-1-5090-4601-0.

  49. Andres Eduardo Gutiérrez Rodríguez, José Carlos Ortiz Bayliss, Alejandro Rosales Pérez, Ivan Mauricio Amaya Contreras, Santiago Enrique Conant Pablos, Hugo Terashima Marín and Carlos Artemio Coello Coello, Applying Automatic Heuristic-Filtering to Improve Hyper-heuristic Performance, in 2017 IEEE Congress on Evolutionary Computation (CEC'2017), pp. 2638--2644, IEEE Press, San Sebastián, Spain, June 5-8, 2017, ISBN 978-1-5090-4601-0.

  50. Raquel Hernández Gómez and Carlos A. Coello Coello, A Hyper-Heuristic of Scalarizing Functions, in 2017 Genetic and Evolutionary Computation Conference (GECCO'2017), pp. 577--584, ACM Press, Berlin, Germany, 15-19 July 2017, ISBN 978-1-4503-4920-8.

  51. Carlos A. Coello Coello, Recent Results and Open Problems in Evolutionary Multiobjective Optimization, in Carlos Martín-Vide, Roman Neruda and Miguel A. Vega-Rodríguez (Editors), Theory and Practice of Natural Computing, 6th International Conference, TPNC 2017, pp. 3--21, Springer. Lecture Notes in Computer Science Vol. 10687, Prague, Czech Republic, December 18-20, 2017, ISBN 978-3-319-71068-6.


  52. Stjepan Picek, Carlos A. Coello Coello, Domagoj Jakobovic and Nele Mentens, Evolutionary Algorithms for Finding Short Addition Chains: Going to the Distance, in Francisco Chicano, Bin Hu, Pablo García-Sánchez (Editors), Evolutionary Computation in Combinatorial Optimization, 16th European Conference, EvoCOP 2016, pp. 121--137, Springer, Lecture Notes in Computer Science Vol. 9595, Porto, Portugal, March 30 - April 1, 2016.

  53. Raquel Hernández Gómez, Carlos A. Coello Coello and Enrique Alba Torres, A Multi-Objective Evolutionary Algorithm based on Parallel Coordinates, 2016 Genetic and Evolutionary Computation Conference (GECCO'2016), pp. 565--572, ACM Press, Denver, Colorado, USA, 20-24 July 2016, ISBN 978-1-4503-4206-3.

  54. Adriana Menchaca-Mendez, Carlos Hernández and Carlos A. Coello Coello, Δ_p-MOEA: A New Multi-Objective Evolutionary Algorithm Based on the Δ_p Indicator, in 2016 IEEE Congress on Evolutionary Computation (CEC'2016), pp. 3753--3760, IEEE Press, Vancouver, Canada, 24-29 July, 2016, ISBN 978-1-5090-0623-9.

  55. Luis Miguel Antonio and Carlos Coello Coello, Indicator-Based Cooperative Coevolution for Multi-objective Optimization, in 2016 IEEE Congress on Evolutionary Computation (CEC'2016), pp. 991--998, IEEE Press, Vancouver, Canada, 24-29 July, 2016, ISBN 978-1-5090-0623-9.

  56. Edgar Manoatl Lopez and Carlos Coello Coello, IGD+-EMOA: A Multi-Objective Evolutionary Algorithm based on IGD+, in 2016 IEEE Congress on Evolutionary Computation (CEC'2016), pp. 999--1006, IEEE Press, Vancouver, Canada, 24-29 July, 2016, ISBN 978-1-5090-0623-9.

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

  58. Saber Elsayed, Ruhul Sarker and Carlos Coello Coello, Enhanced Multi-operator Differential Evolution for Constrained Optimization, in 2016 IEEE Congress on Evolutionary Computation (CEC'2016), pp. 4191--4198, IEEE Press, Vancouver, Canada, 24-29 July, 2016, ISBN 978-1-5090-0623-9. The supplementary material is here.

  59. Jesús Guillermo Falcón-Cardona and Carlos A. Coello Coello. iMOACOR: A New Indicator-Based Multi-Objective Ant Colony Optimization Algorithm for Continuous Search Spaces, 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. 389--398, Springer. Lecture Notes in Computer Science Vol. 9921, Edinburgh, UK, September 17-21, 2016, ISBN 978-3-319-45822-9.

  60. Edgar Manoatl Lopez and Carlos A. Coello Coello. A Parallel Multi-objective Memetic Algorithm Based on the IGD+ Indicator, 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. 473--482, Springer. Lecture Notes in Computer Science Vol. 9921, Edinburgh, UK, September 17-21, 2016, ISBN 978-3-319-45822-9.

  61. Raquel Hernández Gómez, Carlos A. Coello Coello and Enrique Alba. A Parallel Version of SMS-EMOA for Many-Objective Optimization 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. 568--577, Springer. Lecture Notes in Computer Science Vol. 9921, Edinburgh, UK, September 17-21, 2016, ISBN 978-3-319-45822-9.

  62. 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.

  63. Miriam Pescador-Rojas and Carlos A. Coello Coello. A Novel Local Search Mechanism Based on the Reflected Ray Tracing Method Coupled to MOEA/D, in 2016 IEEE Symposium Series on Computational Intelligence (SSCI'2016), IEEE Press, Athens, Greece, 6-9 December 2016, ISBN 978-1-5090-4240-1.

  64. Adriana Menchaca-Mendez and Carlos A. Coello Coello. GD-MOEA: A New Multi-Objective Evolutionary Algorithm Based on the Generational Distance Indicator, in António Gaspar-Cunha, Carlos Henggeler Antunes and Carlos Coello Coello (editors), Evolutionary Multi-Criterion Optimization, 8th International Conference, EMO 2015, pp. 156--170, Springer. Lecture Notes in Computer Science Vol. 9018, Guimarães, Portugal, March 29 - April 1, 2015.

  65. Edgar Manoatl Lopez, Luis Miguel Antonio and Carlos A. Coello Coello. A GPU-Based Algorithm for a Faster Hypervolume Contribution Computation, in António Gaspar-Cunha, Carlos Henggeler Antunes and Carlos Coello Coello (editors), Evolutionary Multi-Criterion Optimization, 8th International Conference, EMO 2015, pp. 80--94, Springer. Lecture Notes in Computer Science Vol. 9019, Guimarães, Portugal, March 29 - April 1, 2015.

  66. José A. Molinet Berenguer and Carlos A. Coello Coello. Evolutionary Many-Objective Optimization Based on Kuhn-Munkres' Algorithm, in António Gaspar-Cunha, Carlos Henggeler Antunes and Carlos Coello Coello (editors), Evolutionary Multi-Criterion Optimization, 8th International Conference, EMO 2015, pp. 3--17, Springer. Lecture Notes in Computer Science Vol. 9019, Guimarães, Portugal, March 29 - April 1, 2015.

  67. Adriana Menchaca-Mendez and Carlos A. Coello Coello, GDE-MOEA : A New MOEA based on the Generational Distance indicator and ε-dominance, in 2015 IEEE Congress on Evolutionary Computation (CEC'2015), pp. 947--955, IEEE Press, Sendai, Japan, 25-28 May 2015, ISBN 978-1-4799-7492-4.

  68. Luis Miguel Antonio and Carlos A. Coello Coello, A Non-cooperative Game for Faster Convergence in Cooperative Coevolution for Multi-objective Optimization, in 2015 IEEE Congress on Evolutionary Computation (CEC'2015), pp. 109--116, IEEE Press, Sendai, Japan, 25-28 May 2015, ISBN 978-1-4799-7492-4.

  69. Saúl Zapotecas-Martínez, Hernán E. Aguirre, Kiyoshi Tanaka and Carlos A. Coello Coello, On the Low-Discrepancy Sequences and their Use in MOEA/D for High-Dimensional Objective Spaces, in 2015 IEEE Congress on Evolutionary Computation (CEC'2015), pp. 2835--2842, IEEE Press, Sendai, Japan, 25-28 May 2015, ISBN 978-1-4799-7492-4.

  70. Raquel Hernández Gómez and Carlos A. Coello Coello, Improved Metaheuristic Based on the R2 Indicator for Many-Objective Optimization, in 2015 Genetic and Evolutionary Computation Conference (GECCO 2015), pp. 679--686, ACM Press, Madrid, Spain, July 11-15, 2015, ISBN 978-1-4503-3472-3.

  71. Luis Miguel Antonio and Carlos A. Coello Coello, Particle Swarm Optimization Based on Linear Assignment Problem Transformations, in 2015 Genetic and Evolutionary Computation Conference (GECCO 2015), pp. 57--64, ACM Press, Madrid, Spain, July 11-15, 2015, ISBN 978-1-4503-3472-3.

  72. Adriana Menchaca-Mendez and Carlos A. Coello Coello, MD-MOEA : A New MOEA based on the Maximin Fitness Function and Euclidean Distances between Solutions, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 2148--2155, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

  73. Alejandro Rosales-Pérez, Hugo Jair Escalante, Carlos A. Coello Coello, Jesus A. Gonzalez and Carlos A. Reyes-Garcia, An Evolutionary Multi-Objective Approach for Prototype Generation, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 1100--1107, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

  74. Subhodip Biswas, Swagatam Das, Ponnuthurai N. Suganthan and Carlos A. Coello Coello. Evolutionary Multiobjective Optimization in Dynamic Environments: A Set of Novel Benchmark Functions, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 3192--3199, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

  75. Ivan Chaman García, Carlos A. Coello Coello and Alfredo Arias-Montaño. MOPSOhv: A New Hypervolume-based Multi-Objective Particle Swarm Optimizer, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 266--273, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

  76. Carlos Segura, Carlos A. Coello Coello, Eduardo Segredo and Coromoto Leon. An Analysis of the Automatic Adaptation of the Crossover Rate in Differential Evolution, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 459--466, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

  77. Saúl Zapotecas Martínez and Carlos A. Coello Coello. A Multi-objective Evolutionary Algorithm based on Decomposition for Constrained Multi-objective Optimization, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 429--436, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.

  78. Saúl Zapotecas Martínez, Alfredo Arias Montaño and Carlos A. Coello Coello. Constrained Multi-Objective Aerodynamic Shape Optimization via Swarm Intelligence, in 2014 Genetic and Evolutionary Computation Conference (GECCO 2014), pp. 81--88, ACM Press, Vancouver, Canada, July 12-16, 2014, ISBN 978-1-4503-2662-9.

  79. Saúl Zapotecas-Martínez, Víctor A. Sosa-Hernández, Hernán Aguirre, Kiyoshi Tanaka and Carlos A. Coello Coello. Using a Family of Curves to Approximate the Pareto Front of a Multi-Objective Optimization Problem, in Thomas Bartz-Beielstein, Jürgen Branke, Bogdan Filipic and Jim Smith (Editors), Parallel Problem Solving from Nature -- PPSN XIII, 13th International Conference, pp. 682--691, Springer, Lecture Notes in Computer Science Vol. 8672, Ljuljana, Slovenia, September 13-17, 2014, ISBN 978-3-319-10761-5.

  80. Adriana Menchaca-Mendez and Carlos A. Coello Coello. MH-MOEA: A New Multi-Objective Evolutionary Algorithm based on the Maximin Fitness Function and the Hypervolume Indicator, in Thomas Bartz-Beielstein, Jürgen Branke, Bogdan Filipic and Jim Smith (Editors), Parallel Problem Solving from Nature -- PPSN XIII, 13th International Conference, pp. 652--661, Springer, Lecture Notes in Computer Science Vol. 8672, Ljuljana, Slovenia, September 13-17, 2014, ISBN 978-3-319-10761-5.

  81. Carlos A. Coello Coello, An Introduction to Evolutionary Multi-Objective Optimization with Some Applications in Pattern Recognition, in Eduardo Bayro-Corrochano and Edwin Hancock (Editors), Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 19th Iberoamerican Congress, CIARP 2014, pp. 1--13, Springer, Lecture Notes in Computer Science Vol. 8827, Puerto Vallarta, México, November 2-5, 2014 (invited paper).

  82. Alejandro Rosales, Jesus A. Gonzalez, Carlos A. Coello Coello, Carlos A. Reyes-García and Hugo Jair Escalante, Evolutionary Multi-Objective Approach for Prototype Generation and Feature Selection, in Eduardo Bayro-Corrochano and Edwin Hancock (Editors), Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 19th Iberoamerican Congress, CIARP 2014, pp. 424--431, Springer, Lecture Notes in Computer Science Vol. 8827, Puerto Vallarta, México, November 2-5, 2014.

  83. Adriana Menchaca, Elizabeth Montero, María Cristina Riff and Carlos Coello Coello, A More Efficient Selection Scheme in iSMS-EMOA, in Ana L.C. Bazzan and Karim Pichara (Editors), Advances in Artificial Intelligence -- IBERAMIA 2014, 14th Iberoamerican Conference on AI, pp. 371--380, Springer, Lecture Notes in Artificial Intelligence Vol. 8864, Santiago de Chile, Chile, November 24-27, 2014.

  84. Jesus Moises Osorio Velazquez, Carlos A. Coello Coello and Alfredo Arias-Montaño, Multi-Objective Compact Differential Evolution, in 2014 IEEE Symposium on Differential Evolution (part of the 2014 IEEE Symposium Series on Computational Intelligence), pp. 49--56, IEEE Press, ISBN 978-1-4799-4462-0, Orlando, Florida, USA, December 9-12, 2014.

  85. Adriana Menchaca-Mendez and Carlos A. Coello Coello. Selection Operators Based on Maximin Fitness Function for Multi-Objective Evolutionary Algorithms, 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. 215--229, Springer. Lecture Notes in Computer Science Vol. 7811, Sheffield, UK, March 19-22, 2013.

  86. Antonio López, Carlos A. Coello Coello, Akira Oyama and Kozo Fujii. An Alternative Preference Relation to Deal with Many-Objective Optimization Problems, 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. 291--306, Springer. Lecture Notes in Computer Science Vol. 7811, Sheffield, UK, March 19-22, 2013.

  87. Saúl Zapotecas Martínez and Carlos A. Coello Coello, A Hybridization of MOEA/D with the Nonlinear Simplex Search Algorithm, in Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2013), pp. 48--55, IEEE Press, Singapore, April 16--19, 2013.

  88. Miguel A. Medina, Swagatam Das, Carlos A. Coello Coello and Juan M. Ramirez, Two Decomposition-based Modern Metaheuristic Algorithms for Multi-objective Optimization - A Comparative Study, in Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2013), pp. 9--16, IEEE Press, Singapore, April 16--19, 2013.

  89. Alejandro Rosales-Pérez, Carlos A. Coello Coello, Jesus A. Gonzalez, Carlos A. Reyes-García and Hugo Jair Escalante. A Hybrid Surrogate-Based Approach for Evolutionary Multi-Objective Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2548--2555, IEEE Press, Cancún, México, 20-23 June, 2013.

  90. Alejandro Rosales-Pérez, Hugo Jair Escalante, Jesus A. Gonzalez, Carlos A. Reyes-García and Carlos A. Coello Coello. Bias and Variance Multi-Objective Optimization for Support Vector Machines Model Selection, in João M. Sanches, Luisa Micó and Jaime S. Cardoso (editors), Pattern Recognition and Image Analysis, 6th Iberian Conference, IbPRIA 2013, pp. 108--116, Springer, Lecture Notes in Computer Science Vol. 7887, Funchal, Madeira, Portugal, June 5-7, 2013.

  91. Eduardo Vázquez-Fernández and Carlos A. Coello Coello. An Adaptive Evolutionary Algorithm Based on Tactical and Positional Chess Problems to Adjust the Weights of a Chess Engine, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1395--1402, IEEE Press, Cancún, México, 20-23 June, 2013.

  92. Alan Díaz-Manríquez, Gregorio Toscano-Pulido, Carlos A. Coello Coello and Ricardo Landa-Becerra. A Ranking Method Based on the R2 indicator for Many-Objective Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 1523--1530, IEEE Press, Cancún, México, 20-23 June, 2013.

  93. Adriana Menchaca-Mendez and Carlos A. Coello Coello. A New Selection Mechanism Based on Hypervolume and its Locality Property, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 924--931, IEEE Press, Cancún, México, 20-23 June, 2013.

  94. Ricardo Landa, Carlos A. Coello Coello and Gregorio Toscano-Pulido. Goal-constraint: Incorporating Preferences Through an Evolutionary e-constraint Based Method, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 741--747, IEEE Press, Cancún, México, 20-23 June, 2013.

  95. Kunal Pal, Chiranjib Saha, Swagatam Das and Carlos A. Coello Coello. Dynamic Constrained Optimization with Offspring Repair based Gravitational Search Algorithm, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2414--2421, IEEE Press, Cancún, México, 20-23 June, 2013.

  96. Saúl Zapotecas Martínez and Carlos A. Coello Coello. Combining Surrogate Models and Local Search for Dealing with Expensive Multi-objective Optimization Problems, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2572--2579, IEEE Press, Cancún, México, 20-23 June, 2013.

  97. Raquel Hernández Gómez and Carlos A. Coello Coello. MOMBI: A New Metaheuristic for Many-Objective Optimization Based on the R2 Indicator, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2488--2495, IEEE Press, Cancún, México, 20-23 June, 2013.

  98. Luis Miguel Antonio and Carlos A. Coello Coello. Use of Cooperative Coevolution for Solving Large Scale Multiobjective Optimization Problems, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 2758--2765, IEEE Press, Cancún, México, 20-23 June, 2013.

  99. Antonio J. Nebro, Juan J. Durillo and Carlos A. Coello Coello. Analysis of Leader Selection Strategies in a Multi-Objective Particle Swarm Optimizer, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 3153--3160, IEEE Press, Cancún, México, 20-23 June, 2013.

  100. Carlos Segura, Carlos A. Coello Coello, Eduardo Segredo, Gara Miranda and Coromoto León. Improving the Diversity Preservation of Multi-objective Approaches used for Single-objective Optimization, in 2013 IEEE Congress on Evolutionary Computation (CEC'2013), pp. 3198--3205, IEEE Press, Cancún, México, 20-23 June, 2013.

  101. Saúl Zapotecas Martínez and Carlos A. Coello Coello. MOEA/D assisted by RBF Networks for Expensive Multi-Objective Optimization Problems, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 1405--1412, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.

  102. Antonio J. Nebro, Juan J. Durillo, Mirialys Machín, Carlos A. Coello Coello and Bernabé Dorronsoro. A Study of the Combination of Variation Operators in the NSGA-II Algorithm, in Concha Bielza, Antonio Salmerón, Amparo Alonso-Betanzos, J. Ignacio Hidalgo, Luis Martínez, Alicia Troncoso, Emilio Corchado and Juan M. Corchado (Editors), 15th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2013, pp. 269--278, Springer, Lecture Notes in Computer Science Vol. 8109, Madrid, Spain, September 17-20, 2013.

  103. Juan Carlos Gómez, Fernando Hernández, Carlos A. Coello Coello, Guillermo Ronquillo and Antonio Trejo. Flame Classification through the use of an Artificial Neural Network trained with a Genetic Algorithm, in Félix Castro, Alexander Gelbukh and Miguel González (editors), Advances in Soft Computing and Its Applications, 12th Mexican International Conference on Artificial Intelligence, MICAI 2013, pp. 172--184, Springer, Lecture Notes in Artificial Intelligence Vol. 8266, Mexico City, Mexico, November 24-30, 2013.

  104. Francisco Luna, Gustavo R. Zavala, Antonio J. Nebro, Juan J. Durillo and Carlos A. Coello Coello, Solving a Real-World Structural Optimization Problem with a Distributed SMS-EMOA Algorithm, in 2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, pp. 600--605, IEEE Computer Society Press, Compiègne, France, October 28-30, 2013.

  105. Miguel A. Medina, Juan M. Ramírez and Carlos A. Coello Coello, A novel multi-objective optimizer for handling reactive power, in POWERTECH 2013, IEEE Press, Grenoble, France, 16-20 June 2013, ISBN 978-1-4673-5667-1.

  106. Alfredo Arias-Montaño, Carlos A. Coello Coello and Efrén Mezura-Montes, Multi-Objective Airfoil Shape Optimization Using a Multiple-Surrogate Approach, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 1188--1195, IEEE Press, Brisbane, Australia, June 10-15, 2012.

  107. Adriana Menchaca-Mendez and Carlos A. Coello Coello, Solving Multi-Objective Optimization Problems using Differential Evolution and a Maximin Selection Criterion, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 3143--3150, IEEE Press, Brisbane, Australia, June 10-15, 2012.

  108. Eduardo Vázquez-Fernández, Carlos A. Coello Coello and Feliú D. Sagols Troncoso, An Evolutionary Algorithm coupled with the Hooke-Jeeves Algorithm for Tuning a Chess Evaluation Function, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 3332--3339, IEEE Press, Brisbane, Australia, June 10-15, 2012.

  109. Subhrajit Roy, Saül Zapotecas Martínez, Carlos A. Coello Coello and Soumyadip Sengupta, A Multi-Objective Evolutionary Approach for Linear Antenna Array Design and Synthesis, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 3423--3430, IEEE Press, Brisbane, Australia, June 10-15, 2012.

  110. Saúl Zapotecas Martínez and Carlos A. Coello Coello, A Direct Local Search Mechanism for Decomposition-based Multi-Objective Evolutionary Algorithms, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 3431--3438, IEEE Press, Brisbane, Australia, June 10-15, 2012.

  111. Adriana Lara, Sergio Alvarado, Shaul Salomon, Gideon Avigad, Carlos A. Coello Coello and Oliver Schütze. The Gradient Free Directed Search Method as Local Search within Multi-Objective Evolutionary Algorithms, 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. 153--168, Springer, Advances in Intelligent Systems and Computing Vol. 175, Berlin, Germany, 2012, ISBN 978-3-642-31519-0.

  112. José Carlos Villela Tinoco and Carlos A. Coello Coello, hypDE: A Hyper-Heuristic Based on Differential Evolution for Solving Constrained Optimization Problems, 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. 267--282, Springer, Advances in Intelligent Systems and Computing Vol. 175, Berlin, Germany, 2012, ISBN 978-3-642-31519-0.

  113. Cynthia A. Rodríguez Villalobos and Carlos A. Coello Coello, A New Multi-Objective Evolutionary Algorithm Based on a Performance Assessment Indicator, in 2012 Genetic and Evolutionary Computation Conference (GECCO'2012), pp. 505--512, ACM Press, Philadelphia, USA, July 2012, ISBN: 978-1-4503-1177-9.

  114. Eduardo Vázquez-Fernández, Carlos A. Coello Coello and Feliú D. Sagols Troncoso, Assessing the Positional Values of Chess Pieces by Tuning Neural Networks' Weights with an Evolutionary Algorithm, in Proceedings of 2012 World Automation Congress (WAC 2012), Puerto Vallarta, México, TSI Enterprises, Inc., June 24-27, 2012.

  115. Miriam Pescador Rojas and Carlos A. Coello Coello, A Memetic Algorithm with Simplex Crossover for Solving Constrained Optimization Problems, in Proceedings of 2012 World Automation Congress (WAC 2012), Puerto Vallarta, México, TSI Enterprises, Inc., June 24-27, 2012.

  116. Subhrajit Roy, Saúl Zapotecas Martínez and Carlos A. Coello Coello, Adaptive IIR System Identification using JADE, in Proceedings of 2012 World Automation Congress (WAC 2012), Puerto Vallarta, México, TSI Enterprises, Inc., June 24-27, 2012.

  117. Thomas Pierrard and Carlos A. Coello Coello, A Multi-Objective Artificial Immune System Based on Hypervolume, in Carlos A. Coelo Coello, Julie Greensmith, Natalio Krasnogor, Pietro Lió, Giuseppe Nicosia and Mario Pavone (Eds), Artificial Immune Systems, 11th International Conference, ICARIS 2012, pp. 14--27, Springer, Lecture Notes in Computer Science Vol. 7597, Taormina, Italy, August 28-31, 2012, ISBN 978-3-642-33756-7.

  118. Elizabeth Montero, María-Cristina Riff, Leslie Pérez-Caceres and Carlos A. Coello Coello, Are State-of-the-Art Fine-Tuning Algorithms Able to Detect a Dummy Parameter?, in Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia and Mario Pavone (Eds.), Parallel Problem Solving from Nature - PPSN XII, 12th International Conference, pp. 306--315, Springer, Lecture Notes in Computer Science Vol. 7491, Taormina, Italy, September 1-5, 2012, ISBN 978-3-642-32936-4.

  119. Hiroyuki Sato, Carlos A. Coello Coello, Hernán E. Aguirre and Kiyoshi Tanaka, Adaptive Control of the Number of Crossed Genes in Many-Objective Evolutionary Optimization, in Youssef Hamadi and Marc Schoenauer (editors), Learning and Intelligent Optimization, 6th International Conference, LION 6, pp. 478--484, Springer, Lecture Notes in Computer Science Vol. 7219, Paris, France, January 2012, ISBN 978-3-642-34413-8.

  120. Jorge S. Hernández Domínguez, Gregorio Toscano Pulido and Carlos A. Coello Coello. A Multi-Objective Particle Swarm Optimizer Enhanced with a Differential Evolution Scheme, in Jin-Kao Hao, Pierrick Legrand, Pierre Collet, Nicolas Monmarché, Evelyne Lutton and Marc Schoenauer (editors), Artificial Evolution, 10th International Conference, Evolution Artificielle, EA 2011, pp. 169--180, Springer. Lecture Notes in Computer Science Vol. 7401, Angers, France, October 24-26, 2012.

  121. Luis E. Ramírez-Chavez, Carlos A. Coello Coello and Eduardo Rodríguez-Tello. A GPU-Based Implementation of Differential Evolution for Solving the Gene Regulatory Network Model Inference Problem, in José L. Risco-Martín and Juan Lanchares (editors)The Fourth International Workshop On Parallel Architectures and Bioinspired Algorithms, pp. 21--30, Published by the Universidad Complutense de Madrid, Galveston Island, Texas, October 10-14, 2011.

  122. Eduardo Vázquez-Fernández, Carlos A. Coello Coello and Feliú Sagols Troncoso, An Adaptive Evolutionary Algorithm Based on Typical Chess Problems for Tuning a Chess Evaluation Function, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 39--40, ACM Press, Dublin, Ireland, July 12-16, 2011.

  123. Saúl Zapotecas Martínez and Carlos A. Coello Coello, A Multi-objective Particle Swarm Optimizer Based on Decomposition, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 69--76, ACM Press, Dublin, Ireland, July 12-16, 2011.

  124. Guillermo Leguizamón and Carlos A. Coello Coello, A Multi-Region Differential Evolution Algorithm for Continuos Optimization Problems, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1934--1940, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.

  125. Saúl Zapotecas Martínez, Alfredo Arias Montaño and Carlos A. Coello Coello, A Nonlinear Simplex Search Approach for Multi-Objective Optimization, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2367--2374, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.

  126. Eduardo Vázquez-Fernández, Carlos A. Coello Coello and Feliú Sagols Troncoso, An Evolutionary Algorithm for Tuning a Chess Evaluation Function, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 842--848, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.

  127. Mario Garza-Fabre, Gregorio Toscano-Pulido, Carlos A. Coello Coello and Eduardo Rodríguez-Tello, Effective Ranking + Speciation = Many-Objective Optimization, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2115--2122, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011

  128. Antonio López-Jaimes, Alfredo Arias-Montaño and Carlos A. Coello Coello, Preference Incorporation to Solve Many-Objective Airfoil Design Problems, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1605--1612, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.

  129. Mohsen Davarynejad, Jafar Rezaei, Jos Vrancken, Jan van den Berg and Carlos A. Coello Coello, Accelerating Convergence Towards the Optimal Pareto Front, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 2107--2114, IEEE Service Center, New Orleans, Louisiana, USA, 5-8 June, 2011.

  130. 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.

  131. Carlos A. Coello Coello. An Introduction to Multi-Objective Particle Swarm Optimizers, in António Gaspar-Cunha, Ricardo Takahashi, Gerald Schaefer and Lino Costa (editors), Soft Computing in Industrial Applications, pp. 3--12, Springer, Advances in Intelligent and Soft Computing Series, Vol. 96, Berlin, 2011, ISBN 978-3-642-20504-0.

  132. Antonin Ponsich and Carlos A. Coello Coello, Testing the permutation space based Geometrical Differential Evolution on the Job-Shop Scheduling Problem, in Robert Schaefer, Carlos Cotta, Joanna Kolodziej and Günter Rudolph (editors), Parallel Problem Solving from Nature--PPSN XI, 11th International Conference, Part II, pp. 250--259, Springer, Lecture Notes in Computer Science Vol. 6239, Krakow, Poland, September 2010.

  133. Alfredo Arias Montaño, Carlos A. Coello Coello and Efrén Mezura-Montes, pMODE-LD+SS: A Parallel Multi-Objective DE-based Algorithm, in Robert Schaefer, Carlos Cotta, Joanna Kolodziej and Günter Rudolph (editors), Parallel Problem Solving from Nature--PPSN XI, 11th International Conference, Part II, pp. 21--30, Springer, Lecture Notes in Computer Science Vol. 6239, Krakow, Poland, September 2010.

  134. Antonio López Jaimes, Hernán Aguirre, Kiyoshi Tanaka and Carlos A. Coello Coello, Objective Space Partitioning Using Conflict Information 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, Part I, pp. 657--666, Springer, Lecture Notes in Computer Science Vol. 6238, Krakow, Poland, September 2010.

  135. Saúl Zapotecas Martínez and Carlos A. Coello Coello, A Memetic Algorithm with Non Gradient-Based Local Search Assisted by a Meta-Model, in Robert Schaefer, Carlos Cotta, Joanna Kolodziej and Günter Rudolph (editors), Parallel Problem Solving from Nature--PPSN XI, 11th International Conference, Part I, pp. 576--585, Springer, Lecture Notes in Computer Science Vol. 6238, Krakow, Poland, September 2010.

  136. Mario Garza Fabre, Gregorio Toscano Pulido and Carlos A. Coello Coello, Alternative Fitness Assignment Methods for Many-Objective Optimization Problems, in Pierre Collet, Nicolas Monmarché, Pierrick Legrand, Marc Schoenauer and Evelyne Lutton (editors), Artificial Evolution, 9th International Conference, Evolution Artificielle, EA 2009, pp. 146--157, Springer, Lecture Notes in Computer Science Vol. 5975, Strasbourg, France, 2010.

  137. Guillermo Leguizamón and Carlos A. Coello Coello, An alternative ACO_R algorithm for continuous optimization problems, in Marco Dorigo et al. (editors), Swarm Intelligence, 7th International Conference, ANTS 2010, pp. 48--59, Springer, Lecture Notes in Computer Science Vol. 6234, Brussels, Belgium, September 2010.

  138. Oliver Schuetze, Adriana Lara, Carlos A. Coello Coello and Massimiliano Vasile, Computing Approximate Solutions of Scalar Optimization Problems and Applications in Space Mission Design, 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 1654--1661, IEEE Press, Barcelona, Spain, July 18--23, 2010.

  139. Alfredo Arias Montaño, Carlos A. Coello Coello and Efrén Mezura-Montes, MODE-LD+SS: A Novel Differential Evolution Algorithm Incorporating Local Dominance and Scalar Selection Mechanisms for Multi-Objective Optimization, 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 3284--3291, IEEE Press, Barcelona, Spain, July 18--23, 2010.

  140. Mario Garza Fabre, Gregorio Toscano Pulido and Carlos A. Coello Coello, Two Novel Approaches for Many-Objective Optimization, 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 4480--4487, IEEE Press, Barcelona, Spain, July 18--23, 2010.

  141. Saól Zapotecas Martínez and Carlos A. Coello Coello, An Archive Strategy Based on the Convex Hull of Individual Minima for MOEAs, 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 912--919, IEEE Press, Barcelona, Spain, July 18--23, 2010.

  142. Guillermo Leguizamón, Franco Arito and Carlos Coello Coello, A Hybrid Memory-based ACO algorithm for the QAP, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 284--291, IEEE Press, Barcelona, Spain, July 18--23, 2010.

  143. Adriana Lara López, Carlos A. Coello Coello and Oliver Schuetze, A Painless Gradient-Assisted Multi-Objective Memetic Mechanism for Solving Continuous Bi-objective Optimization Problems, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 577--584, IEEE Press, Barcelona, Spain, July 18--23, 2010.

  144. Saúl Zapotecas Martínez and Carlos A. Coello Coello, A Multi-Objective Meta-Model Assisted Memetic Algorithm with Non Gradient-Based Local Search, Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 537--538, ACM Press, Portland, Oregon, USA, July 2010, ISBN 978-1-4503-0072-8.

  145. Emilia Tantar, Oliver Schütze, José Rui Figueira, Carlos A. Coello Coello and El-Ghazali Talbi, Computing and Selecting ε-Efficient Solutions of {0,1}-Knapsack Problems, in Matthias Ehrgott, Boris Naujoks, Theodor J. Stewart and Jyrki Wallenius (editors), Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, pp. 379--389, Springer, Lecture Notes in Economics and Mathematical Systems Vol. 634, Heidelberg, Germany, 2010.

  146. Alfredo G. Hernandez-Diaz, Carlos A. Coello, Fatima Perez, Rafael Caballero and Julian Molina, Using a Gradient Based Method to Seed an EMO Algorithm, in Matthias Ehrgott, Boris Naujoks, Theodor J. Stewart and Jyrki Wallenius (editors), Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, pp. 327--337, Springer, Lecture Notes in Economics and Mathematical Systems Vol. 634, Heidelberg, Germany, 2010.

  147. Mario Garza Fabre, Gregorio Toscano Pulido and Carlos A. Coello Coello, Ranking Methods for Many-Objective Problems, in Arturo Hernández Aguirre, Raúl Monroy Borja and Carlos Alberto Reyes García (editors), MICAI 2009: Advances in Artificial Intelligence. 8th Mexican International Conference on Artificial Intelligence, pp. 633--645, Springer, Lecture Notes in Artificial Intelligence Vol. 5845, Guanajuato, México, November 2009.

  148. Julio Barrera and Carlos A. Coello Coello, A Particle Swarm Optimization Method for Multimodal Optimization Based on Electrostatic Interaction, in Arturo Hernández Aguirre, Raúl Monroy Borja and Carlos Alberto Reyes García (editors), MICAI 2009: Advances in Artificial Intelligence. 8th Mexican International Conference on Artificial Intelligence, pp. 622--632, Springer, Lecture Notes in Artificial Intelligence Vol. 5845, Guanajuato, México, November 2009.

  149. Oliver Schuetze, Adriana Lara and Carlos A. Coello Coello, Evolutionary Continuation Methods for Optimization Problems, 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 651--658, ACM Press, Montreal, Canada, July 8--12, 2009, ISBN 978-1-60558-325-9.

  150. Antonio López Jaimes and Carlos A. Coello Coello, Study of Preference Relations in Many-Objective Optimization, 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 611--618, ACM Press, Montreal, Canada, July 8--12, 2009, ISBN 978-1-60558-325-9.

  151. Julio Barrera and Carlos A. Coello Coello, Limiting the Velocity in Particle Swarm Optimization Using a Geometric Series, 2009 Genetic and Evolutionary Computation Conference (GECCO'2009), pp. 1739--1740, ACM Press, Montreal, Canada, July 8--12, 2009, ISBN 978-1-60558-325-9.

  152. Adriana Menchaca-Mendez and Carlos A. Coello Coello, A New Proposal to Hybridize the Nelder-Mead Method to a Differential Evolution Algorithm for Constrained Optimization, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 2598--2605, IEEE Press, Trodheim, Norway, May 2009.

  153. Adriana Lara, Carlos A. Coello Coello and Oliver Schütze, Using Gradient-Based Information to Deal with Scalability in Multi-objective Evolutionary Algorithms, in 2009 IEEE Congress on Evolutionary Computation (CEC'2009), pp. 16--23, IEEE Press, Trodheim, Norway, May 2009.

  154. Antonio López Jaimes, Carlos A. Coello Coello and Jesús E. Urías Barrientos. Online Objective Reduction to Deal with Many-Objective Problems, 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. 423--437, Springer. Lecture Notes in Computer Science Vol. 5467, Nantes, France, April 2009.

  155. Juan J. Durillo, José García-Nieto, Antonio J. Nebro, Carlos A. Coello Coello, Francisco Luna and Enrique Alba. Multi-Objective Particle Swarm Optimizers: An Experimental Comparison, 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. 495--509, Springer. Lecture Notes in Computer Science Vol. 5467, Nantes, France, April 2009.

  156. Antonio J. Nebro, Juan J. Durillo, Jose Garcia-Nieto, Carlos A. Coello Coello, Francisco Luna and Enrique Alba, SMPSO: A New PSO-based Metaheuristic for Multi-objective Optimization, in 2009 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making, pp. 66--73, IEEE Press, Nashville, Tennessee, USA, March 30 - April 2, 2009.

  157. Ma. Guadalupe Castillo Tapia and Carlos A. Coello Coello, Applications of Multi-Objective Evolutionary Algorithms in Economics and Finance: A Survey, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 532--539, IEEE Press, Singapore, September 2007.


  158. Arturo Hernández-Aguirre, Enrique Villa-Diharce and Carlos Coello-Coello, Constraint Handling Techniques for a Non-Parametric Real-valued EDA, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 654--661, IEEE Press, Singapore, September 2007.

  159. Leticia Cagnina, Susana Esquivel and Carlos Coello Coello, A Bi-population PSO with a Shake-Mechanism for Solving Constrained Numerical Optimization, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 670--676, IEEE Press, Singapore, September 2007.

  160. Emanuel Téllez-Enríquez, Efrén Mezura-Montes and Carlos Coello Coello, An Ant System with steps counter for the Job Shop Scheduling Problem, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 477--484, IEEE Press, Singapore, September 2007.

  161. Guillermo Leguizamón and Carlos Coello Coello, A Boundary Search based ACO Algorithm Coupled with Stochastic Ranking, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 165--172, IEEE Press, Singapore, September 2007.

  162. Oliver Schuetze, Marco Laumanns, Emilia Tantar, Carlos A. Coello Coello and El-ghazali Talbi, Convergence of Stochastic Search Algorithms to Gap-Free Pareto Front Approximations, in 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 892--899, Vol. 1, ACM Press, London, July 2007 (Best Paper Award).

  163. Ricardo Landa Becerra, Carlos A. Coello Coello, Alfredo G. Hernández-Díaz, Rafael Caballero and Julián Molina, Alternative Techniques to Solve Hard Multi-Objective Optimization Problems, in 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 757--764, Vol. 1, ACM Press, London, July 2007.

  164. Víctor Serrano, Matías Alvarado and Carlos A. Coello Coello, Optimization to Manage Supply Chain Disruptions Using the NSGA-II, in Oscar Castillo, Patricia Melin, Oscar Montiel Ross, Roberto Sepúlveda Cruz, Witold Pedrycz and Janusz Kacprzyk (editors), Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, pp. 476--485, Springer, 2007.

  165. Carlos Soza, Ricardo Landa, María Cristina Riff and Carlos Coello, A Cultural Algorithm with Operator Parameters Control for Solving Timetabling Problems, in Patricia Melin, Oscar Castillo, Luis T. Aguilar, Janusz Kacprzyk and Witold Pedrycz (editors), Foundations of Fuzzy Logic and Soft Computing, 12th International Fuzzy Systems Association World Congress, IFSA 2007, pp. 810--819, Springer, Lecture Notes in Artificial Intelligence Vol. 4529, Cancún, México, June 2007.

  166. Luis V. Santana-Quintero, Víctor A. Serrano-Hernández, Carlos A. Coello Coello, Alfredo G. Hernández-Díaz and Julián Molina, Use of Radial Basis Functions and Rough Sets for Evolutionary Multi-Objective Optimization, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 107--114, IEEE Press, Honolulu, Hawaii, USA, April 2007.

  167. Oliver Schütze, El-Ghazali Talbi, Carlos Coello Coello and Luis Vicente Santana-Quintero, A Memetic PSO Algorithm for Scalar Optimization Problems, in Proceedings of the 2007 IEEE Swarm Intelligence Symposium (SIS 2007), pp. 128--134, IEEE Press, Honolulu, Hawaii, USA, April 2007.

  168. Gregorio Toscano-Pulido, Carlos A. Coello Coello and Luis Vicente Santana-Quintero. EMOPSO: A Multi-Objective Particle Swarm Optimizer with Emphasis on Efficiency, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 272--285, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.

  169. Luis V. Santana-Quintero, Noel Ramírez and Carlos Coello Coello. A Multi-Objective Particle Swarm Optimizer Hybridized with Scatter Search, in Alexander Gelbukh and Carlos Alberto Reyes-García (Editors), MICAI 2006: Advances in Artificial Intelligence, 5th International Conference in Artificial Intelligence, Springer, pp. 294-304, Lecture Notes in Artificial Intelligence Vol. 4293, Apizaco, México, November 2006.

  170. Guillermo Leguizamón and Carlos A. Coello Coello, Boundary Search for Constrained Numerical Optimization Problems in ACO Algorithms, in Marco Dorigo, Lucia Maria Gambardella, Mauro Birattari, Alcherio Martinoli, Riccardo Poli and Thomas Stützle (editors) Ant Colony Optimization and Swarm Intelligence. 5th International Workshop, ANTS'2006, Springer, pp. 108-119, Lecture Notes in Computer Science Vol. 4150, Brussels, Belgium, September 2006.

  171. Leticia C. Cagnina, Susana C. Esquivel and Carlos A. Coello Coello, A Particle Swarm Optimizer for Constrained Numerical Optimization, 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, Springer, pp. 910-919, Lecture Notes in Computer Science Vol. 4193, Reykjavik, Iceland, September 2006.

  172. Ricardo Landa Becerra and Carlos A. Coello Coello, Solving Hard Multiobjective Optimization Problems using e-Constraint with Cultured Differential Evolution, 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, Springer, pp. 543-552, Lecture Notes in Computer Science Vol. 4193, Reykjavik, Iceland, September 2006.

  173. Luis V. Santana-Quintero, Noel Ramírez-Santiago, Carlos A. Coello Coello, Julián Molina Luque and Alfredo García Hernández-Díaz, A New Proposal for Multiobjective Optimization using Particle Swarm Optimization and Rough Sets Theory, 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, Springer, pp. 483-492, Lecture Notes in Computer Science Vol. 4193, Reykjavik, Iceland, September 2006.

  174. Efrén Mezura-Montes, Jesús Velázquez-Reyes and Carlos A. Coello Coello, Modified Differential Evolution for Constrained Optimization, 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 332-339, IEEE Press, Sheraton Vancouver Wall Centre Hotel, Vancouver, BC, Canada, July 2006.

  175. Efrén Mezura-Montes, Jesús Velázquez-Reyes and Carlos A. Coello Coello, A Comparative Study of Differential Evolution Variants for Global Optimization, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 485--492, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4.

  176. Margarita Reyes-Sierra and Carlos A. Coello Coello, Dynamic Fitness Inheritance Proportion For Multi-Objective Particle Swarm Optimization, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 89-90, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4.

  177. Alfredo G. Hernández-Díaz, Luis V. Santana-Quintero, Carlos Coello Coello, Rafael Caballero and Julián Molina, A New Proposal for Multi-Objective Optimization using Differential Evolution and Rough Sets Theory, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 675-682, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4.

  178. Margarita Reyes Sierra and Carlos A. Coello Coello, On-line Adaptation in Multi-Objective Particle Swarm Optimization, in 2006 Swarm Intelligence Symposium (SIS'06), pp. 61-68, IEEE Press, Indianapolis, Indiana, USA, May 2006.

  179. Efrén Mezura-Montes, Carlos A. Coello Coello and Jesús Velázquez-Reyes, Increasing Successful Offspring and Diversity in Differential Evolution for Engineering Design, in I.C. Parmee (editor), Proceedings of the Seventh International Conference on Adaptive Computing in Design and Manufacture (ACDM'2006), pp. 131-139, The Institute for People-centred Computation (IP-CC), Bristol, UK, April 2006.

  180. Nareli Cruz-Cortés, Francisco Rodríguez Henríquez, Raúl Juárez-Morales and Carlos A. Coello Coello, Finding Optimal Addition Chains Using a Genetic Algorithm Approach, in Yue Hao et al. (editors), Computational Intelligence and Security. International Conference, CIS 2005, pp. 208--215, Part I, Springer-Verlag, Lecture Notes in Artificial Intelligence Vol. 3801, Xi'an, China, December 2005.

  181. Efrén Mezura Montes and Carlos A. Coello Coello, Useful Infeasible Solutions in Engineering Optimization with Evolutionary Algorithms, in Alexander Gelbukh, Álvaro de Albornoz and Hugo Terashima-Marín (editors), MICAI 2005: Advances in Artificial Intelligence, Springer, pp. 652--662, Lecture Notes in Artificial Intelligence Vol. 3789, Monterrey, México, November 2005 .

  182. Margarita Reyes Sierra and Carlos A. Coello Coello, Coevolutionary Multi-objective Optimization using Clustering Techniques, in Alexander Gelbukh, Álvaro de Albornoz and Hugo Terashima-Marín (editors), MICAI 2005: Advances in Artificial Intelligence, Springer, pp. 603--612, Lecture Notes in Artificial Intelligence Vol. 3789, Monterrey, México, November 2005 .

  183. Luis Vicente Santana-Quintero and Carlos A. Coello Coello, An Algorithm Based on Differential Evolution for Multiobjective Problems, in Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark J. Embrechts and Okan Ersoy (editors), Smart Engineering System Design: Neural Networks, Evolutionary Programming and Artificial Life, Vol. 15, pp. 211--220, ASME Press, St. Louis, Missouri, USA, November 2005 .

  184. Efrén Mezura Montes and Carlos A. Coello Coello, Saving Evaluations in Differential Evolution for Constrained Optimization, in Vladimir Estivill-Castro and J. Alfredo Sánchez (editors), Sixth Mexican International Conference on Computer Science (ENC'05), pp. 274--281, IEEE Computer Society Press, Los Alamitos, California, September 2005 .

  185. Antonio López Jaimes and Carlos A. Coello Coello, MRMOGA: Parallel Evolutionary Multiobjective Optimization using Multiple Resolutions, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2294--2301, IEEE Press, Vol. 3, Edinburgh, Scotland, September 2005 .

  186. Efrén Mezura Montes and Carlos A. Coello Coello, Identifying On-line Behavior and Sources of Difficulty in Constrained Optimization Using Evolutionary Algorithm, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1477--1484, IEEE Press, Vol. 2, Edinburgh, Scotland, September 2005 .

  187. Margarita Reyes Sierra and Carlos A. Coello Coello, A Study of Fitness Inheritance and Approximation Techniques for Multi-Objective Particle Swarm Optimization, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 65--72, IEEE Press, Vol. 1, Edinburgh, Scotland, September 2005 .

  188. Nareli Cruz Cortés, Daniel Trejo-Pérez and Carlos A. Coello Coello, Handling Constraints in Global Optimization using an Artificial Immune System, in Christian Jacob, Marcin L. Pilat, Peter J. Bentley and Jonathan Timmis (editors), Artificial Immune Systems. 4th International Conference, ICARIS 2005, pp. 234--247, Springer. Lecture Notes in Computer Science Vol. 3627, Banff, Canada, August 2005 .

  189. Efrén Mezura-Montes, Jesús Velázquez-Reyes and Carlos A. Coello Coello, Promising Infeasibility and Multiple Offspring Incorporated to Differential Evolution for Constrained Optimization, in Hans-Georg Beyer et al. (editors), Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 225--232, Vol. 1, ACM Press, Washington, DC, USA, June 2005, ISBN 1-59593-010-8.

  190. Ricardo Landa Becerra and Carlos A. Coello Coello, Optimization with Constraints using a Cultured Differential Evolution Approach, in Hans-Georg Beyer et al. (editors), Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 27--34, Vol. 1, ACM Press, Washington, DC, USA, June 2005, ISBN 1-59593-010-8 (Nominated to Best Paper Award).

  191. Margarita Reyes-Sierra and Carlos A. Coello Coello, Fitness Inheritance in Multi-Objective Particle Swarm Optimization, in 2005 IEEE Swarm Intelligence Symposium (SIS'05), pp. 116--123, IEEE Press, Pasadena, California, June 2005 .

  192. Mario Alberto Villalobos-Arias, Gregorio Toscano Pulido and Carlos A. Coello Coello, A Proposal to Use Stripes to Maintain Diversity in a Multi-Objective Particle Swarm Optimizer, in 2005 IEEE Swarm Intelligence Symposium (SIS'05), pp. 22--29, IEEE Press, Pasadena, California, June 2005 (Nominated to Best Student Paper Award) .

  193. Mario Villalobos-Arias, Carlos A. Coello Coello and Onésimo Hernández-Lerma. Asymptotic Convergence of some Metaheuristics used for Multiobjetive Optimization, in A.H. Wright et al. (editors), Foundations of Genetic Algorithms (FOGA 2005), pp. 95--111, Springer-Verlag, Lecture Notes in Computer Science Vol. 3469, Aizu, Japan, 2005 .

  194. Carlos A. Coello Coello, An Introduction to Evolutionary Algorithms and Their Applications, in F.F. Ramos et al. (editors), International Symposium and School on Advance Distributed Systems (ISSADS 2005), pp. 425--442, Springer-Verlag, Lecture Notes in Computer Science Vol. 3563, Guadalajara, México, 2005 (invited paper) .

  195. Margarita Reyes Sierra and Carlos A. Coello Coello, Improving PSO-Based Multi-objective Optimization using Crowding, Mutation and e-Dominance, in Carlos A. Coello Coello, Arturo Hernández Aguirre and Eckart Zitzler (Eds.), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 505--519, Springer-Verlag, Lecture Notes in Computer Science Vol. 3410, Marzo de 2005 .

  196. Coello, Carlos A. The use of a multiobjective optimization technique to handle constraints, Second International Symposium on Artificial Intelligence, track on Adaptive Systems, Edited by Alberto A. Ochoa Rodríguez, Marta R. Soto Ortiz and Roberto Santana Hermida, La Havana, Cuba, pp. 251-256, March 1999.

  197. Coello, Carlos A. Self-Adaptive Penalties for GA-based optimization, 1999 Congress on Evolutionary Computation, Washington, D.C., Vol. 1, pp. 573-580, IEEE Service Center, July 1999.

  198. Hernández Aguirre, Arturo ; Coello, Carlos A. and Buckles, Bill P., A genetic programming approach to logic function synthesis by means of multiplexers, Proceedings of the First NASA/DoD Workshop on Evolvable Hardware, Edited by Adrian Stoica, Didier Keymeulen and Jason Lohn, pp. 46-53, IEEE Computer Society Press, Los Alamitos, California, July 1999.

  199. Coello, Carlos A. Constraint-handling through a multiobjective optimization technique, Proceedings of the 1999 Genetic and Evolutionary Computation Conference (GECCO'99). Workshop Program, Edited by Annie S. Wu, Orlando, Florida, USA, pp. 117--118, July 1999.

  200. Coello, Carlos A. Constraint-handling through a multiobjective optimization technique, Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining, and Complex Systems (ANNIE'99), Edited by Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark J. Embrechts and Okan Ersoy, pp. 1021--1026, Vol. 9, November 1999.

  201. Coello Coello, Carlos A.; Zavala G. Rosa Laura; Mendoza G., Benito and Hernández Aguirre, Arturo, Ant Colony System for the Design of Combinational Logic Circuits, in Julian Miller, Adrian Thompson, Peter Thomson and Terence C. Fogarty (Eds.), Evolvable Systems: From Biology to Hardware, Edinburgh, Scotland, Springer-Verlag, pp. 21--30, April 2000.

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

  203. Hernández Aguirre, Arturo, Buckles, Bill P. and Coello Coello, Carlos A. Gate-level Synthesis of Boolean Functions using Binary Multiplexers and Genetic Programming, 2000 Congress on Evolutionary Computation, pp. 675--682, IEEE Service Center, Piscataway, New Jersey, July 2000.

  204. Coello Coello, Carlos A. and Hernández Aguirre, Arturo, Evolutionary Multiobjective Design of Combinational Logic Circuits, in Jason Lohn, Adrian Stoica, Didier Keymeulen & Silvano Colombano (editors), Proceedings of the Second NASA/DoD Workshop on Evolvable Hardware, pp. 161--170, IEEE Computer Society, Los Alamitos, California, July 2000.

  205. Hernández Aguirre, Arturo; Buckles, Bill P. and Coello Coello, Carlos A. Evolutionary Synthesis of Logic Functions using Multiplexers, in Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts Okan Ersoy \& Stephen Kercel (Editors), Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining, and Complex Systems (ANNIE'2000), ASME Press, New York, pp 311--316, November, 2000.

  206. Coello Coello, Carlos A. and Toscano Pulido, Gregorio, 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, Springer-Verlag, Lecture Notes in Computer Science No. 1993, pp. 126--140, Marzo 2001.

  207. Coello Coello, Carlos A., 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, Springer-Verlag, Lecture Notes in Computer Science No. 1993, pp. 21--40, March 2001,(SLIDES).

  208. Coello Coello, Carlos A. and Toscano Pulido, Gregorio, Multiobjective Optimization using a Micro-Genetic Algorithm, in Spector, L., E. Goodman, A. Wu, W.B. Langdon, H.-M. Voigt, M. Gen, S. Sen, M. Dorigo, S. Pezeshk, M. Garzon, and E. Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2001, pp. 274--282, Morgan Kaufmann Publishers, San Francisco, California, July 2001.

  209. Hernández Aguirre, Arturo; Buckles, Bill P. and Coello Coello Carlos A., On Learning kDNF^s_n Boolean Formulas, in Didier Keymeulen, Adrian Stoica, Jason Lohn and Ricardo Salem Zebulum (eds), Proceedings of the Third NASA/DoD Workshop on Evolvable Hardware, pp. 240--246, IEEE Computer Society Press, Long Beach, California, July 2001.

  210. Islas Pérez, Eduardo; Coello Coello, Carlos A. and Hernández Aguirre, Arturo, Extraction of Design Patterns from Evolutionary Algorithms using Case-Based Reasoning, in Yong Liu, Kiyoshi Tanaka, Masaya Iwata, Tetsuya Higuchi and Moritoshi Yasunaga (editors), Evolvable Systems: From Biology to Hardware (ICES'2001), pp. 244--255, Tokyo, Japan, Springer-Verlag, Lecture Notes in Computer Science Vol. 2210, October 2001.

  211. Hernández Aguirre, Arturo; Buckles, Bill P. and Coello Coello, Carlos A. GA-based Learning of kDNF^8_n Boolean Formulas, in Yong Liu, Kiyoshi Tanaka, Masaya Iwata, Tetsuya Higuchi and Moritoshi Yasunaga (editors), Evolvable Systems: From Biology to Hardware (ICES'2001), pp. 279--290, Tokyo, Japan, Springer-Verlag, Lecture Notes in Computer Science Vol. 2210, October 2001.

  212. Coello Coello, Carlos A. and Hernández Aguirre, Arturo, Use of a Population-based Evolutionary Multiobjective Optimization Technique to Design Combinational Logic Circuits, in Carlos Zozaya, Marcelo Mejía, Pablo Noriega y Alfredo Sánchez (editores), Tercer Encuentro Internacional de Ciencias de la Computación (ENC'01), Tomo I, pp. 95--104, Aguascalientes, Aguascalientes, Septiembre 2001.

  213. Coello Coello, Carlos A. and Cruz Cortés, Nareli, Constraint-Handling in Genetic Algorithms through Emulations of the Immune System, in Carlos Zozaya, Marcelo Mejía, Pablo Noriega y Alfredo Sánchez (editores), Tercer Encuentro Internacional de Ciencias de la Computación (ENC'01), Tomo I, pp. 115--124, Aguascalientes, Aguascalientes, Septiembre 2001.

  214. Coello Coello, Carlos A. and Cruz Cortés, Nareli, Use of Emulations of the Immune System to Handle Constraints in Evolutionary Algorithms, in Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark J. Embrechts, Okan Erson and Stephen Kercel (eds.), Intelligent Engineering Systems through Artificial Neural Networks (ANNIE'2001), ASME Press, Vol. 11, pp. 141--146, St. Louis Missouri, July 2001 (best paper award).

  215. Coello Coello, Carlos A. and Mezura Montes, Efrén, Use of Dominance-Based Tournament Selection to Handle Constraints in Genetic Algorithms, in Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark J. Embrechts, Okan Erson and Stephen Kercel (eds.), Intelligent Engineering Systems through Artificial Neural Networks (ANNIE'2001), ASME Press, Vol. 11, pp. 177--182, St. Louis Missouri, July 2001.

  216. Héctor Fernando Gómez García, Arturo González Vega, Arturo Hernández Aguirre and Carlos A. Coello Coello, Efficient Affine 2D-Image Registration using Evolutionary Strategies, en W.B. Langdon, E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors), Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2002, pp. 1263, Morgan Kaufmann Publishers, San Francisco, California, July 2002.

  217. Coello Coello, Carlos A. and Landa Becerra, Ricardo, Adding Knowledge and Efficient Data Structures to Evolutionary Programming: A Cultural Algorithm for Constrained Optimization, en W.B. Langdon, E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors), Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2002, pp. 201--209, Morgan Kaufmann Publishers, San Francisco, California, July 2002.

  218. Carlos A. Coello Coello, Alvaro de Albornoz, Enrique Sucar, and Osvaldo Cairó Battistutti, MICAI 2002: Advances in Artificial Intelligence, Springer-Verlag, Lecture Notes in Artificial Intelligence No. 2313, ISBN 3-540-43475-5, April 2002.

  219. Coello Coello, Carlos A., Hernández Luna, Erika and Hernández Aguirre, Arturo, Use of Particle Swarm Optimization to Design Combinational Logic Circuits, in Andy M. Tyrell, Pauline C. Haddow and Jim Torresen (Eds), Evolvable Systems: From Biology to Hardware. 5th International Conference, ICES 2003, pp. 398--409, Springer, Lecture Notes in Computer Science, Vol. 2606, Trondheim, Norway, March 2003.

  220. Hernández Aguirre, Arturo; González Equihua, Edgar C. and Coello Coello, Carlos A. Synthesis of Boolean Functions using Information Theory, in Andy M. Tyrell, Pauline C. Haddow and Jim Torresen (Eds), Evolvable Systems: From Biology to Hardware. 5th International Conference, ICES 2003, pp. 218--227, Springer, Lecture Notes in Computer Science, Vol. 2606, Trondheim, Norway, March 2003.

  221. Hernández Aguirre, Arturo; Botello Rionda, Salvador, Lizárraga Lizárraga, Giovanni and Coello Coello, Carlos A. IS-PAES: A Constraint-Handling Technique Based on Multiobjective Optimization Concepts, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (Eds), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 73--87, Springer, Lecture Notes in Computer Science, Vol. 2632, Faro, Portugal, April 2003.

  222. Coello Coello, Carlos A. and Landa Becerra, Ricardo; Evolutionary Multiobjective Optimization using a Cultural Algorithm, in 2003 IEEE Swarm Intelligence Symposium, pp. 6--13, IEEE Service Center, Indianapolis, Indiana, USA, April 2003.

  223. Toscano Pulido, Gregorio and Coello Coello, Carlos A. The Micro Genetic Algorithm 2: Towards On-Line Adaptation in Evolutionary Multiobjective Optimization, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (Eds), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 252--266, Springer, Lecture Notes in Computer Science, Vol. 2632, Faro, Portugal, April 2003.
  224. Coello Coello, C. A.; Toscano Pulido, G. and Hernández Aguirre, A. 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, Volume 2, pp. 2244--2248, Elsevier, The Netherlands, June 2003.

  225. Hernández Aguirre, Arturo; Botello Rionda, Salvador; Coello Coello, Carlos A. and Lizárraga Lizárraga, Giovanni, Use of Multiobjective Optimization Concepts to Handle Constraints in Single-Objective Optimization, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation Conference---GECCO'2003, Proceedings. Part I, Lecture Notes in Computer Science Vol. 2723, pp. 573--584, Springer, Chicago, USA, July 2003.

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

  227. Mezura-Montes, Efrén and Coello Coello, Carlos A., A Simple Evolution Strategy to Solve Constrained Optimization Problems, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation Conference---GECCO'2003, Proceedings, Part I, Lecture Notes in Computer Science Vol. 2723, pp. 640-641, Springer, Chicago, USA, July 2003.

  228. Hernández Aguirre, Arturo & Coello Coello, Carlos, Fitness Landscape and Evolutionary Boolean Synthesis using Information Theory Concepts, in Jason Lohn, Ricardo Zebulum, James Steincamp, Didier Keymeulen, Adrian Stoica, and Michael I. Ferguson (editors), Proceedings of the 2003 NASA/DoD Workshop on Evolvable Hardware, pp. 13-16, IEEE Computer Society Press, Los Alamitos, California, USA, July 2003.

  229. Coello Coello, Carlos A.; Alba, Enrique; Luque, Gabriel and Hernández Aguirre, Arturo, Comparing Different Serial and Parallel Heuristics to Design Combinational Logic Circuits, in Jason Lohn, Ricardo Zebulum, James Steincamp, Didier Keymeulen, Adrian Stoica, and Michael I. Ferguson (editors), Proceedings of the 2003 NASA/DoD Workshop on Evolvable Hardware, pp. 3--12, IEEE Computer Society Press, Los Alamitos, California, USA, July 2003.

  230. Coello Coello, Carlos A.; Cortés Rivera, Daniel and Cruz Cortés, Nareli, Use of an Artificial Immune System for Job Shop Scheduling, in Jon Timmis, Peter Bentley and Emma Hart (editors), Second International Conference on Artificial Immune Systems (ICARIS'2003), pp. 1--10, Edinburgh, Scotland, Lecture Notes in Computer Science, Vol. 2787, Springer-Verlag, Septiembre de 2003 .

  231. Arturo Hernández Aguirre and Carlos Coello Coello, Gate-level Synthesis of Boolean Functions using Information Theory Concepts, in Edgar Chávez, Jesús Favela, Marcelo Mejía and Alberto Oliart (editors), Fourth Mexican International Conference on Computer Science, pp. 268--275, IEEE Computer Society, Los Alamitos, California, September 2003 .

  232. Coello Coello, Carlos A., Evolutionary Multiobjective Optimization: Current and Future Challenges, , in J.M. Benitez, O. Cordon, F. Hoffmann and R. Roy (editors), Advances in Soft Computing---Engineering, Design and Manufacturing, pp. 243--256, Springer-Verlag, ISBN 1-85233-755-9, September 2003.

  233. Arturo Hernández Aguirre, Salvador Botello Rionda, Giovanni Lizarraga, and Carlos Coello Coello, ISPAES: Evolutionary Multi-Objective Optimization with Constraint-Handling, in Edgar Chávez, Jesús Favela, Marcelo Mejía and Alberto Oliart (editors), Fourth Mexican International Conference on Computer Science, pp. 338--345, IEEE Computer Society, Los Alamitos, California, September 2003 .

  234. Efrén Mezura-Montes and Carlos A. Coello Coello, Multiobjective-Based Concepts to Handle Constraints in Evolutionary Algorithms, in Edgar Chávez, Jesús Favela, Marcelo Mejía and Alberto Oliart (editors), Fourth Mexican International Conference on Computer Science, pp. 192--199, IEEE Computer Society, Los Alamitos, California, September 2003 .

  235. Reyes Sierra, Margarita and Coello Coello, Carlos A., On the Expected Convergence Time of a Genetic Algorithm with Minimum Parameters, in Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark J. Embrechts and Okan Ersoy (editors), Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life, Vol. 13, pp. 379--384, ASME Press, New York, November 2003.

  236. Mezura Montes, Efrén and Coello Coello, Carlos A., Using the Evolution Strategies' Self-Adaptation Mechanism and Tournament Selection for Global Optimization, in Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark J. Embrechts and Okan Ersoy (editors), Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life, Vol. 13, pp. 373--378, ASME Press, New York, November 2003 (First Runner-Up in the Theoretical Developments in Computational Intelligence Award.)

  237. Mezura Montes, Efrén, Coello Coello, Carlos A. and Landa Becerra, Ricardo, Engineering Optimization using a Simple Evolutionary Algorithm, Proceedings of the Fifteenth International Conference on Tools with Artificial Intelligence (ICTAI 03), pp. 149--156, IEEE Computer Society, Sacramento, California, November 2003.

  238. Arturo Hernández Aguirre, Salvador Botello Rionda, Giovanni Lizárraga Lizárraga and Carlos Coello Coello, IS-PAES: switching constraints on and off for multiobjective optimization, in Proceedings of 2003 Congress on Evolutionary Computation (CEC'2003), Vol. 2, pp. 1162--1169, IEEE Press, Canberra, Australia, December, 2003.

  239. Esquivel, Susana C. and Coello Coello, Carlos A., On the Use of Particle Swarm Optimization with Multimodal Functions, in Proceedings of 2003 Congress on Evolutionary Computation (CEC'2003), Vol. 2, pp. 1130--1136, IEEE Press, Canberra, Australia, December, 2003.

  240. Mezura Montes, Efrén and Coello Coello, Carlos A., Adding a Diversity Mechanism to a Simple Evolution Strategy to Solve Constrained Optimization Problems, in Proceedings of 2003 Congress on Evolutionary Computation (CEC'2003), Vol. 1, pp. 6--13, IEEE Press, Canberra, Australia, December, 2003.

  241. Coello Coello, Carlos A. and Reyes Sierra, Margarita, A Coevolutionary Multi-Objective Evolutionary Algorithm, in Proceedings of 2003 Congress on Evolutionary Computation (CEC'2003), Vol. 1, pp. 482--489, IEEE Press, Canberra, Australia, December, 2003.

  242. Edgar Galván López, Riccardo Poli and Carlos A. Coello Coello. Reusing Code in Genetic Programming, in Maarten Keijzer, Una-May O'Reilly, Simon M. Lucas, Ernesto Costa and Terence Soule (Eds.), Genetic Programming, 7th European Conference, EuroGP'2004, pp. 359--368, Springer, Lecture Notes in Computer Science Vol. 3003, Coimbra, Portugal, April 5-7, 2004.

  243. 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.

  244. Efrén Mezura Montes, Carlos A. Coello Coello, and Edy I. Tun-Morales, Simple Feasibility Rules and Differential Evolution for Constrained Optimization, 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. 707--716, Springer Verlag, Lecture Notes in Artificial Intelligence Vol. 2972, April 2004.

  245. Carlos A. Coello Coello, Carlos A., Daniel Cortés Rivas and Nareli Cruz Cortés. Job Shop Scheduling using the Clonal Selection Principle, in I.C. Parmee (editor), Adaptive Computing in Design and Manufacture VI, pp. 113--124, Springer, London, April 2004.










Conferences in Spanish




  1. I. Chaman, C.A. Coello Coello y L. Sandoval, Cálculo de Factores Franck-Condon utilizando Redes Neuronales Artificiales y Optimización mediante Cúmulos de Partículas, en IV Taller LatinoiberoAmericano de Investigación de Operaciones (TLAIO 4), Acapulco, Guerrero, México, 16-18 de noviembre de 2011.

  2. Luis V. Santana-Quintero, Carlos A. Coello Coello, Alfredo G. Hernández-Díaz, Julián Molina y Rafael Caballero, Una Propuesta de Hibridación de Evolución Diferencial y Conjuntos Borrosos para Optimización Multi-Objetivo, en Francisco Almeida Rodríguez, Belén Melián Batista, José A. Moreno Pérez y J. Marco Moreno Vega (editores), Metaheurísticas, Algoritmos Evolutivos y Bioinspirados. V Congreso, pp. 183-190, Universidad de la Laguna, Tenerife, España, Febrero de 2007.

  3. Luis Vicente Santana Quintero and Carlos A. Coello Coello. Un Nuevo Algoritmo Multiobjetivo Basado en Evolución Diferencial, en Maribel G. Arenas, Francisco Herrera, Manuel Lozano, Juan Julián Merelo, Gustavo Romero y Ana Ma. Sánchez (editores), IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, Vol. 1, pp. 169--176, Granada, España, Septiembre de 2005 .


  4. E. Mezura-Montes y C.A. Coello Coello. Fuentes de dificultad en optimización global con restricciones usando algoritmos evolutivos, en Felipe Padilla, Carlos Coello, Katya Rodríguez y Francisco Alvarez (editores), Memorias del Segundo Congreso de Computación Evolutiva (COMCEV'05), pp. 57--62, Universidad Autónoma de Aguascalientes, Aguascalientes, México, Mayo de 2005, ISBN 970-728-024-7 .

  5. M.M. Reyes Sierra y C.A. Coello Coello. Un Algoritmo Coevolutivo para Optimización Multiobjetivo Basado en Clustering, en Felipe Padilla, Carlos Coello, Katya Rodríguez y Francisco Alvarez (editores), Memorias del Segundo Congreso de Computación Evolutiva (COMCEV'05), pp. 63--71, Universidad Autónoma de Aguascalientes, Aguascalientes, México, Mayo de 2005, ISBN 970-728-024-7 .

  6. Cortés Rivera, Daniel y Coello Coello, Carlos A., Uso de un Sistema Inmune Artificial para Problemas de Calendarización, en C. Herv´s, N. García, F.J. Martínez, D. Ortiz y S. Ventura (editores), Actas del III Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 04), pp. 507--514, Universidad de Córdoba, Córdoba, España, febrero de 2004, ISBN 84-688-4224-9.

  7. Erika Hernández Luna, Carlos A. Coello Coello y Arturo Hernández Aguirre, Diseño de Circuitos Lógicos Combinatorios usando Optimización mediante Cúmulos de Partículas, en 9a. Conferencia de Ingeniería Eléctrica, pp. 485--491, CINVESTAV-IPN, México, D.F., Septiembre de 2003 .

  8. Nareli Cruz Cortés y Carlos A. Coello Coello, Optimización Multiobjetivo Utilizando el Principio de Selección Clonal del Sistema Inmune, en 9a. Conferencia de Ingeniería Eléctrica, pp. 470--477, CINVESTAV-IPN, México, D.F., Septiembre de 2003 .

  9. Efrén Mezura-Montes y Carlos A. Coello Coello, Conceptos de Optimización Multiobjetivo para el Manejo de Restricciones en Algoritmos Evolutivos: Un Estudio Comparativo, en S. Botello, A. Hernández y C. Coello (eds), Memorias del Primer Congreso Mexicano de Computación Evolutiva, pp. 1--12, CIMAT, Guanajuato, México, ISBN 968-57-33-00-7, 2003 .

  10. Toscano Pulido, Gregorio y Coello Coello, Carlos A. Una Propuesta de Adaptación en Línea para Optimización Evolutiva Multiobjetivo, en Actas del II Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 03), Gijón,España, pp. 363--370, Febrero de 2003, ISBN 84-607-65-26-1.

  11. Landa Becerra, Ricardo y Coello Coello, Carlos A. Un Algoritmo Cultural para Optimización Evolutiva Multiobjetivo, en Actas del II Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 03), Gijón, España, pp. 371--378, Febrero de 2003, ISBN 84-607-65-26-1.

  12. Efrén Mezura-Montes y Carlos A. Coello Coello, Conceptos de Optimización Multiobjetivo para el Manejo de Restricciones en Algoritmos Evolutivos: Un Estudio Comparativo, en S. Botello, A. Hernández y C. Coello (eds), Memorias del Primer Congreso Mexicano de Computación Evolutiva, pp. 1--12, CIMAT, Guanajuato, México, ISBN 968-57-33-00-7, 2003.

  13. Javier Cruz Pérez, Hilda Caballero Barbosa y Carlos A. Coello Coello, Plataforma en Java para el Diseño de Circuitos Lógicos Combinatorios, Experimentando con Diferentes Operadores Genéticos, en S. Botello, A. Hernández y C. Coello (eds), Memorias del Primer Congreso Mexicano de Computación Evolutiva, pp. 119--129, CIMAT, Guanajuato, México, ISBN 968-57-33-00-7, 2003

  14. María Margarita Reyes Sierra y Carlos A. Coello Coello, Tiempo Esperado de Convergencia de un Algoritmo Genético con Parámetros Mínimos, en S. Botello, A. Hernández y C. Coello (eds), Memorias del Primer Congreso Mexicano de Computación Evolutiva, pp. 155--169, CIMAT, Guanajuato, México, ISBN 968-57-33-00-7, 2003.

  15. Nareli Cruz Cortés y Carlos A. Coello Coello, Un Sistema Inmune Artificial para Solucionar Problemas de Optimización Multiobjetivo, en S. Botello, A. Hernández y C. Coello (eds), Memorias del Primer Congreso Mexicano de Computación Evolutiva, pp. 181--193, CIMAT, Guanajuato, México, ISBN 968-57-33-00-7, 2003.

  16. Benito Mendoza García y Coello Coello, Carlos A., Uso del Sistema de la Colonia de Hormigas para el Diseño de Circuitos Lógicos Combinatorios, en E. Alba, F. Fernández, J.A. Gómez, F. Herrera, J.I. Hidalgo, J. Lanchares, J.J. Merelo y J.M. Sánchez (Editores) Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados (AEB'02), Universidad de la Extremadura, España, pp. 294--301, 2002, ISBN 84-607-3913-9

  17. Coello Coello, Carlos A. y Maximino Salazar Lechuga, MOPSO: Un Algoritmo Multiobjetivo Basado en Optimización Mediante Cúmulos de Partículas, en E. Alba, F. Fernández, J.A. Gómez, F. Herrera, J.I. Hidalgo, J. Lanchares, J.J. Merelo y J.M. Sánchez (Editores) Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados (AEB'02), Universidad de la Extremadura, España, pp. 445--452, 2002, ISBN 84-607-3913-9.

  18. Serna Pérez, Eduardo; Rodríguez Vázquez, Katya y Coello Coello, Carlos A. Expresiones Prefijas para el Diseño de Circuitos Lógicos utilizando Programación Genética, en Carlos Zozaya, Marcelo Mejía, Pablo Noriega y Alfredo Sánchez (editores), Tercer Encuentro Internacional de Ciencias de la Computación (ENC'01), Tomo I, pp. 85--94, Aguascalientes, Aguascalientes, Septiembre 2001.

  19. Coello Coello, Carlos A. and Mezura Montes, Efrén, Uso de Auto-Adaptación para Manejar Restricciones con un Algoritmo Genético, Segundo Encuentro Nacional de Computación, Taller de Aprendizaje, Pachuca, Hidalgo, 12-15 de septiembre de 1999.










Technical Reports





  1. Raquel Hernández Gómez and Carlos A. Coello Coello, A Hyper-Heuristic of Scalarizing Functions (Experimental Study), Technical Report EVOCINV-01-2017, Evolutionary Computation Group at CINVESTAV, Departamento de Computación, CINVESTAV-IPN, México, April 17, 2017.

  2. Raquel Hernández Gómez, Carlos A. Coello Coello and Enrique Alba, A Parallel Version of SMS-EMOA for Many-Objective Optimization Problems, Technical Report EVOCINV-01-2016, Evolutionary Computation Group at CINVESTAV, Departamento de Computación, CINVESTAV-IPN, México, May 2016.

  3. Adriana Menchaca-Mendez and Carlos A. Coello Coello, An alternative hypervolume-based selection mechanism for multi-objective evolutionary algorithms, Technical Report EVOCINV-01-2015, Evolutionary Computation Group at CINVESTAV, Departamento de Computación, CINVESTAV-IPN, México, May 2015.

  4. Adriana Menchaca-Mendez and Carlos A. Coello Coello, Muti-Objective Evolutionary Algorithms based on the Maximin Fitness Function to solve Many-Objective Optimization Problems, Technical Report EVOCINV-02-2015, Evolutionary Computation Group at CINVESTAV, Departamento de Computación, CINVESTAV-IPN, México, October 2015.

  5. Saúl Zapotecas Martínez and Carlos A. Coello Coello, MONSS: A Multi-Objective Nonlinear Simplex Search, Technical Report EVOCINV-01-2013, Evolutionary Computation Group at CINVESTAV, Departamento de Computación, CINVESTAV-IPN, México, February 2013.

  6. Saúl Zapotecas Martínez and Carlos A. Coello Coello, MOEA/D assisted by RBF Networks for Expensive Multi-Objective Optimization Problems, Technical Report EVOCINV-02-2013, Evolutionary Computation Group at CINVESTAV, Departamento de Computación, CINVESTAV-IPN, México, February 2013.

  7. Guillermo Leguizamón and Carlos A. Coello Coello, A Study of the Scalability of ACO_R for Continuous Optimization Problems, Technical Report EVOCINV-01-2010, Evolutionary Computation Group at CINVESTAV, Departamento de Computación, CINVESTAV-IPN, México, February 2010.

  8. Guillermo Leguizamón and Carlos A. Coello Coello, An Advanced ACO Algorithm Implementing Boundary Search for Constrained Numerical Optimization Problems, Technical Report EVOCINV-01-2007, Evolutionary Computation Group at CINVESTAV, Departamento de Computación, CINVESTAV-IPN, México, March 2007.

  9. Efrén Mezura Montes and Carlos A. Coello Coello, A Survey of Constraint-Handling Techniques Based on Evolutionary Multiobjective Optimization, Technical Report EVOCINV-04-2006, Evolutionary Computation Group at CINVESTAV, Departamento de Computación, CINVESTAV-IPN, México, October 2006.

  10. Margarita Reyes-Sierra and Carlos A. Coello Coello, Dynamic Fitness Inheritance Proportion For Multi-Objective Particle Swarm Optimization, Technical Report EVOCINV-03-2006, Evolutionary Computation Group at CINVESTAV, Sección de Computación, Departamento de Ingeniería Eléctrica, CINVESTAV-IPN, México, April 2006.

  11. Alfredo G. Hernández-Díaz, Luis V. Santana-Quintero, Carlos A. Coello Coello and Julián Molina, Pareto-adaptive e-dominance, Technical Report EVOCINV-02-2006, Evolutionary Computation Group at CINVESTAV, Sección de Computación, Departamento de Ingeniería Eléctrica, CINVESTAV-IPN, México, March 2006.

  12. Margarita Reyes-Sierra and Carlos A. Coello Coello, Multi-Objective Particle Swarm Optimizers: A Survey of the State-of-the-Art, Technical Report EVOCINV-01-2006, Evolutionary Computation Group at CINVESTAV, Sección de Computación, Departamento de Ingeniería Eléctrica, CINVESTAV-IPN, México, March 2006.

  13. Mezura Montes, Efrén and Coello Coello, Carlos A. What Makes a Constrained Problem Difficult to Solve by an Evolutionary Algorithm,, Technical Report EVOCINV-01-2004, Evolutionary Computation Group at CINVESTAV, Sección de Computación, Departamento de Ingeniería Eléctrica, CINVESTAV-IPN, México, February 2004.

  14. Efrén Mezura-Montes and Carlos A. Coello Coello, On the Usefulness of the Evolution Strategies Self-Adaptation Mechanism to Handle Constraints in Global Optimization, Technical Report EVOCINV-01-2003, echnical Report EVOCINV-02-2003, Evolutionary Computation Group at CINVESTAV, Sección de Computación, Departamento de Ingeniería Eléctrica, CINVESTAV-IPN, México, March 2003

  15. Coello Coello, Carlos A. and Reyes Sierra, Margarita, A Multi-Objective Evolutionary Algorithm Based on Coevolutionary Concepts, Technical Report EVOCINV-03-2003, Evolutionary Computation Group at CINVESTAV, Sección de Computación, Departamento de Ingeniería Eléctrica, CINVESTAV-IPN, México, July 2003

  16. Efrén Mezura-Montes and Carlos A. Coello Coello, A Simple Multimembered Evolution Strategy to Solve Constrained Optimization Problems, Technical Report EVOCINV-04-2003, Evolutionary Computation Group at CINVESTAV, Sección de Computación, Departamento de Ingeniería Eléctrica, CINVESTAV-IPN, México, August 2003

  17. Reyes Sierra, Mar´a Margarita and Coello Coello, Carlos A., On the Study of Some Theoretical Aspects of Genetic Algorithms,, Technical Report EVOCINV-02-2003, Evolutionary Computation Group at CINVESTAV, Sección de Computación, Departamento de Ingeniería Eléctrica, CINVESTAV-IPN, México, March 2003.

  18. Coello Coello, Carlos A., Toscano Pulido, Gregorio and Salazar Lechuga, Maximino, Handling Multiple Objectives with Particle Swarm Optimization, Technical Report EVOCINV-02-2002, Evolutionary Computation Group at CINVESTAV, Sección de Computación, Departamento de Ingeniería Eléctrica, CINVESTAV-IPN, México, July 2002

  19. Coello Coello, Carlos A. and Cruz Cortés, Nareli, A Model of the Immune System for Constraint-Handling in Genetic Algorithms, Technical Report EVOCINV-01-2002, Evolutionary Computation Group at CINVESTAV, Sección de Computación, Departamento de Ingeniería Eléctrica, CINVESTAV-IPN, México, April 2002.

  20. Efrén Mezura-Montes and Carlos A. Coello Coello, A Numerical Comparison of some Multiobjective-Based Techniques to Handle Constraints in Genetic Algorithms, Technical Report EVOCINV-03-2002, Evolutionary Computation Group at CINVESTAV, Sección de Computación, Departamento de Ingeniería Eléctrica, CINVESTAV-IPN, México, September 2002.

  21. Carlos A. Coello Coello, Erika Hernández Luna and Arturo Hernández Aguirre, Use of Particle Swarm Optimization to Design Combinational Logic Circuits, Technical Report EVOCINV-04-2002, Evolutionary Computation Group at CINVESTAV, Sección de Computación, Departamento de Ingeniería Eléctrica, CINVESTAV-IPN, México, October 2002.

  22. Carlos A. Coello Coello and Nareli Cruz Cortés, Solving Multiobjective Optimization Problems using an Artificial Immune System, Technical Report EVOCINV-05-2002, Evolutionary Computation Group at CINVESTAV, Sección de Computación, Departamento de Ingeniería Eléctrica, CINVESTAV-IPN, México, December 2002.

  23. Arturo Hernández Aguirre and Carlos A. Coello Coello, Evolutionary Synthesis of Logic Circuits using Information Theory, Technical Report EVOCINV-06-2002, Evolutionary Computation Group at CINVESTAV, Sección de Computación, Departamento de Ingeniería Eléctrica, CINVESTAV-IPN, México, December 2002

  24. Coello Coello, Carlos A. and Salazar Lechuga, Maximino, MOPSO: A Proposal for Multiple Objective Particle Swarm Optimization, Technical Report EVOCINV-01-2001, Evolutionary Computation Group at CINVESTAV, Sección de Computación, Departamento de Ingeniería Eléctrica, CINVESTAV-IPN, México, September 2001.

  25. Coello Coello, Carlos A. and Mezura Montes Efrén, Constraint-Handling in Genetic Algorithms through the use of Dominance-based Tournament Selection, Technical Report EVOCINV-02-2001, Evolutionary Computation Group at CINVESTAV, Sección de Computación, Departamento de Ingeniería Eléctrica, CINVESTAV-IPN, México, September 2001.

  26. Islas Pérez, Eduardo; Coello Coello, Carlos A. & Hernández Aguirre, Arturo, Extracting and Re-Using Design Patterns from Genetic Algorithms using Case-Based Reasoning, Technical Report EVOCINV-03-2001, Evolutionary Computation Group at CINVESTAV, Sección de Computación, Departamento de Ingeniería Eléctrica, CINVESTAV-IPN, México, October 2001.

  27. Coello Coello, Carlos A. & Toscano Pulido, Gregorio, A Micro-Genetic Algorithm for Multiobjective Optimization, Lania-RI-2000-06, Laboratorio Nacional de Informática Avanzada, 2000.

  28. Coello Coello, Carlos A. Multiobjective Optimization of Trusses using Genetic Algorithms, Technical Report Lania-RI-99-02, Laboratorio Nacional de Informática Avanzada, 1999.

  29. Coello Coello, Carlos A.; Alan D. Christiansen & Arturo Hernández Aguirre, Towards Automated Evolutionary Design of Combinational Circuits, Lania-RI-99-03.d, Laboratorio Nacional de Informática Avanzada, 1999.

  30. Coello Coello, Carlos A., A Survey of Constraint Handling Techniques used with Evolutionary Algorithms, Lania-RI-99-04, Laboratorio Nacional de Informática Avanzada, 1999.

  31. Coello Coello, Carlos A., An Updated Survey of GA-Based Multiobjective Optimization Techniques. Technical Report Lania-RD-98-08, Laboratorio Nacional de Informática Avanzada (LANIA), Xalapa, Veracruz, México, December 1998.










Magazines in Spanish




  1. Luis Vicente Santana Quintero y Carlos A. Coello Coello, Una introducción a la Computación Evolutiva y Algunas de sus Aplicaciones en Economía y Finanzas, Revista de Métodos Cuantitativos para la Economía y la Empresa, Vol. 2, pp. 3--26, diciembre de 2006, ISSN 1886-516X.