Publications 2022


Contents

Book Chapters

  1. Eduardo Fernández, Efraín Solares, Carlos A. Coello Coello, and Victor De-León-Gómez, An Overall Characterization of the Project Portfolio Optimization Problem and an Approach Based on Evolutionary Algorithms to Address It, in Kyle Robert Harrison, Saber Elsayed, Ivan Leonidovich Garanovich, Terence Weir, Sharon G. Boswell and Ruhul Amin Sarker (Editors), Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling, pp. 65--88, Springer, Series on Adaptation, Learning, and Optimization Vol. 26, Cham, Switzerland, 2022, ISBN 978-3-030-88314-0.

  2. Carlos A. Coello Coello and Ma. Guadalupe Castillo Tapia, Cultural Algorithms for Optimization, in Anand J. Kulkarni and Patrick Siarry (Editors), Handbook of AI-based Metaheuristics, pp. 219--238, CRC Press, Boca Raton, Florida, USA, 2022. ISBN 978-0-367-75303-0.

  3. Carlos A. Coello Coello, Carlos Segura, Gara Miranda, Evolutionary Computation: Historical View and Basic Concepts, in Plamen Parvanov Angelov (Editor), Handbook on Computer Learning and Intelligence. Volume 2: Deep Learning, Intelligent Control and Evolutionary Computation, pp. 851--894, World Scientific, Singapore, 2022. ISBN 978-9811246074.

International Journals

  1. Ali Ahrari, Saber Elsayed, Ruhul Sarker, Daryl Essam, Carlos A. Coello Coello, PyDDRBG: A Python framework for benchmarking and evaluating static and dynamic multimodal optimization methods, SoftwareX, Vol. 17, Article No. 100961, January 2022.

  2. Adriana Menchaca-Méndez, Saúl Zapotecas-Martínez, Luis Miguel García-Velázquez and Carlos A. Coello Coello, Uniform Mixture Design via Evolutionary Multi-Objective Optimization, Swarm and Evolutionary Computation, Vol. 68, Article No. 100979, February 2022 (Supplementary Material).

  3. Lijia Ma, Yuchun Ma, Qiuzhen Lin, Junkai Ji, Carlos A. Coello Coello and Maoguo Gong, SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets, IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 6, No. 1, pp. 136--149, February 2022.

  4. Songbai Liu, Qiuzhen Lin, Ka-Chun Wong, Carlos A. Coello Coello, Jianqiang Li and Jun Zhang, A Self-guided Reference Vector Strategy for Many-objective Optimization, IEEE Transactions on Cybernetics, Vol. 52, No. 2, pp. 1164--1168, February 2022.

  5. Gilberto Rivera, Carlos A. Coello Coello, Laura Cruz-Reyes, Eduardo R. Fernandez, Claudia Gomez-Santillan and Nelson Rangel-Valdez, Preference Incorporation into Many-Objective Optimization: An Ant Colony Algorithm based on Interval Outranking, Swarm and Evolutionary Computation, Vol. 69, Article No. 101024, March 2022.

  6. Rohan Mohapatra, Snehanshu Saha, Carlos A. Coello Coello, Anwesh Bhattacharya, Soma S. Dhavala and Sriparna Saha, AdaSwarm: Augmenting Gradient-Based Optimizers in Deep Learning With Swarm Intelligence, IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 6, No. 2, pp. 329--340, April 2022.

  7. Jamshid Maleki, Zohreh Masoumi, Farshad Hakimpour, Carlos A. Coello Coello, Many-objective land use planning using a hypercube-based NSGA-III algorithm, Transactions in GIS, Vol. 26, No. 2, pp. 609--644, April 2022.

  8. Yi Chen, Qiuzhen Lin, Wenhong Wei, Junkai Jia, Ka-Chun Wong, Carlos A. Coello Coello, Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing, Knowledge-Based Systems, Vol. 244, Paper Number 108505, 23 May 2022.

  9. Songbai Liu, Qiuzhen Lin, Kay Chen Tan, Maoguo Gong and Carlos A. Coello Coello, A Fuzzy Decomposition based Multi/Many-objective Evolutionary Algorithm, IEEE Transactions on Cybernetics, Vol. 52, No. 5, pp. 3495--3509, May 2022. (Supplementary Material)

  10. Joel Chacón Castillo, Carlos Segura, Carlos A. Coello Coello, VSD-MOEA: A Dominance-Based Multiobjective Evolutionary Algorithm with Explicit Variable Space Diversity Management, Evolutionary Computation, Vol. 30, No. 2, pp. 195--219, Summer 2022.

  11. Qiyuan Yu, Qiuzhen Lin, Zexuan Zhu, Ka-Chun Wong, Carlos A. Coello Coello, A dynamic multi-objective evolutionary algorithm based on polynomial regression and adaptive clustering, Swarm and Evolutionary Computation, Vol. 71, Article No. 101075, June 2022.

  12. Lijia Ma, Xiao Zhang, Jianqiang Li, Qiuzhen Lin, Maoguo Gong, Carlos A. Coello Coello and Asoke K. Nandi, Enhancing Robustness and Resilience of Multiplex Networks against Node-community Cascading Failures, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 52, No. 6, pp. 3808--3821, June 2022. (Supplementary Material)

  13. Ali Ahrari, Saber Elsayed, Ruhul Sarker, Daryl Essam and Carlos A. Coello Coello, Static and Dynamic Multimodal Optimization by Improved Covariance Matrix Self-Adaptation Evolution Strategy with Repelling Subpopulations, IEEE Transactions on Evolutionary Computation, Vol. 26, No. 3, pp. 527--541, June 2022.

  14. Eduardo Fernández, Nelson Rangel-Valdez, Laura Cruz-Reyes, Claudia G. Gomez-Santillan, Carlos A.Coello-Coello, Preference Incorporation in MOEA/D Using an Outranking Approach with Imprecise Model Parameters, Swarm and Evolutionary Computation, Vol. 72, Article Number: 101097, July 2022.

  15. Yongfeng Li, Lingjie Li, Qiuzhen Lin, Ka-Chun Wong, Zhong Ming, Carlos A. Coello Coello, A Self-organizing Weighted Optimization based Framework for Large-scale Multi-objective Optimization, Swarm and Evolutionary Computation, Vol. 72, Article Number: 101084, July 2022.

  16. Yulong Ye, Qiuzhen Lin, Lijia Ma, Ka-Chun Wong, Maoguo Gong, Carlos A. Coello Coello, Multiple source transfer learning for dynamic multiobjective optimization, Information Sciences, Vol. 607, pp. 739--757, August 2022.

  17. Qiuzhen Lin, Xunfeng Wu, Jianqiang Li, Maoguo Gong and Carlos A. Coello Coello, An Ensemble Surrogate-based Framework for Expensive Multiobjective Evolutionary Optimization, IEEE Transactions on Evolutionary Computation, Vol. 26, No. 4, pp. 631--645, August 2022.

  18. Lingjie Li, Yongfeng Li, Qiuzhen Lin, Zhong Ming, Carlos A. Coello Coello, A Convergence and Diversity Guided Leader Selection Strategy for Many-objective Particle Swarm Optimization, Engineering Applications of Artificial Intelligence, Vol. 155, Article Number: 105249, October 2022.

  19. J.G. Falcón-Cardona, M.T.M. Emmerich, C.A. Coello Coello, On the Construction of Pareto-compliant Combined Indicators, Evolutionary Computation, Vol. 30, No. 3, pp. 381--408, Fall 2022.

  20. Sofien Boutaib, Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Lamjed Ben Said, Uncertainty-wise Software Anti-patterns Detection: A Possibilistic Evolutionary Machine Learning Approach, Applied Soft Computing, Vol. 129, Article Number: 109620, November 2022.

  21. Forhad Zaman, Saber Elsayed, Ruhul Sarker, Daryl Essam and Carlos A. Coello Coello, Pro-Reactive Approach for Project Scheduling Under Unpredictable Disruptions, IEEE Transactions on Cybernetics, Vol. 52, No. 11, pp. 11299--11312, November 2022.

  22. Antonio J. Nebro, Jesús Galeano-Brajones, Francisco Luna, Carlos A. Coello Coello, Is NSGA-II Ready for Large-Scale Multi-Objective Optimization?, Mathematical and Computational Applications, Vol. 27, No. 6, Article Number: 103, 2022.





International Conferences

  1. Rihab Said, Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Lamjed Ben Said, Cost-sensitive Classification Tree Induction as a Bi-level Optimization Problem, in Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO'2022), pp. 284--287, ACM Press, Boston, Massachusetts, USA, July 9-13, 2022, ISBN 978-1-4503-9268-6.

  2. Rihab Said, Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Lamjed Ben Said, Interval-based Cost-sensitive Classification Tree Induction as a Bi-level Optimization Problem, in 2022 IEEE Congress on Evolutionary Computation (CEC'2022), IEEE, Padua, Italy, 18-23 July, 2022, ISBN 978-1-6654-6708-7.

  3. Diana Cristina Valencia-Rodríguez and Carlos A. Coello Coello, Multi-Objective Evolutionary Algorithm Based on the Linear Assignment Problem and the Hypervolume Approximation using Polar Coordinates (MOEA-LAPCO), in Günter Rudolph, Anna V. Kononova, Hernán Aguirre, Pascal Kerschke, Gabriela Ochoa and Tea Tusar (Editors), Parallel Problem Solving from Nature --- PPSN XVII, 17th International Conference, PPSN 2022, Part II, pp. 221--233, Springer. Lecture Notes in Computer Science Vol. 13399, Dortmund, Germany, September 10-14, 2022, ISBN 978-3-031-14720-3.

  4. Daniel Doblas, Antonio J. Nebro, Manuel López-Ibáñez, José García-Nieto and Carlos A. Coello Coello, Automatic Design of Multi-objective Particle Swarm Optimizers, in Marco Dorigo, Heiko Hamann, Manuel López-Ibáñez, José García-Nieto, Andries Engelbrecht, Carlo Pinciroli, Volker Strobel and Christian Camacho-Villalón (Editors), Swarm Intelligence, 13th International Conference, ANTS 2022, Málaga, Spain, November 2-4, 2022, Proceedings, pp. 28--40, Springer. Lecture Notes in Computer Science Vol. 13491, ISBN 978-3-031-20175-2.

  5. Ashraf M. Abdelbar, Thomas Humphries, Jesús Guillermo Falcón-Cardona and Carlos A. Coello Coello, An Extension of the iMOACO_R Algorithm Based on Layer-Set Selection, in Marco Dorigo, Heiko Hamann, Manuel López-Ibáñez, José García-Nieto, Andries Engelbrecht, Carlo Pinciroli, Volker Strobel and Christian Camacho-Villalón (Editors), Swarm Intelligence, 13th International Conference, ANTS 2022, Málaga, Spain, November 2-4, 2022, Proceedings, pp. 266--274, Springer. Lecture Notes in Computer Science Vol. 13491, ISBN 978-3-031-20175-2.

  6. Raquel Hernández Gómez, Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello, Considerations in the Incremental Hypervolume Algorithm of the WFG, in Obdulia Pichardo Lagunas, Juan Martínez-Miranda and Bella Martínez Seis (Editors), Advances in Computational Intelligence, 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Monterrey, Mexico, October 24-29, 2022, Proceedings, Part I, pp. 410--422, Springer. Lecture Notes in Computer Science Vol. 13612, 24-29 October 2022, ISBN 978-3-031-19492-4.