Publications 2020


Contents

Book Chapters

  1. 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.





International Journals

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.





International Conferences

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

Technical Reports

  1. Jesús Guillermo Falcón-Cardona, Michael T. M. Emmerich and Carlos A. Coello Coello, On the Construction of Pareto-compliant Combined Indicators, Technical Report EVOCINV-01-2020, Evolutionary Computation Group at CINVESTAV, Departamento de Computación, CINVESTAV-IPN, México, January 2020.