Publications 2021


Contents

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.





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.





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.