Dirección de estudios de posgrado

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Falcon Cardona, J. G., Uribe, L., & Rosas, P. (2025). Riesz s-Energy as a Diversity Indicator in Evolutionary Multiobjective Optimization. IEEE Transactions on Evolutionary Computation, 29(4), 1168-1182. doi: 10.1109/TEVC.2024.3405197. (ID: 30775) ^(E)

Juárez Jiménez, J. A., Falcon Cardona, J. G., & Ortiz Bayliss, J. C. (2025). A steady state micro genetic algorithm for hyper-heuristic generation in one-dimensional bin packing. Scientific Reports, 15(27220). doi: 10.1038/s41598-025-10790-9. (ID: 30777) ^(E)

Falcon Cardona, J. G., Juárez Jiménez, J. A., Márquez-Vega, L. Á., & Emmerich, M. T. M. (2025). Fast High-Diversity Subset Selection for Multi-Objective Optimization by Riesz s-Energy. IEEE Transactions on Evolutionary Computation. doi: 10.1109/TEVC.2025.3570938. (ID: 30776) ^(E)

Falcon Cardona, J. G., & Coello Coello, C. A. (2025). A new indicator-based many-objective ant colony optimizer for continuous search spaces. Swarm Intelligence, 11, 71-100. doi: 10.1007/s11721-017-0133-x. (ID: 30789) ^(E)

Márquez Vega, L. Á., Falcon Cardona, J. G., & Covantes Osuna, E. (2024). A Multi-Objective Evolutionary Algorithm Based on Uniformity and Diversity to Handle Regular and Irregular Pareto Front Shapes. IEEE Access, 12, 158878 - 158907. doi: 10.1109/ACCESS.2024.3486255. (ID: 30778) ^(E)

Márquez Vega, L. Á., Falcon Cardona, J. G., & Covantes Osuna, E. (2023). On the adaptation of reference sets using niching and pair-potential energy functions for multi-objective optimization. Swarm and Evolutionary Computation, 83(101408). doi: 10.1016/j.swevo.2023.101408. (ID: 30779) ^(E)

Falcon Cardona, J. G., Covantes Osuna, E., Coello Coello, C. A., & Ishibuchi, H. (2023). On the utilization of pair-potential energy functions in multi-objective optimization. Swarm and Evolutionary Computation, 79(101308). doi: 10.1016/j.swevo.2023.101308. (ID: 30780) ^(E)

Falcon Cardona, J. G., Emmerich, M. T. M., & Coello Coello, C. A. (2022). On the Construction of Pareto-Compliant Combined Indicators. Evolutionary Computation, 30(3), 381¿408. doi: 10.1162/evco_a_00307. (ID: 30784) ^(E)

Falcon Cardona, J. G. (2022). New Findings on Indicator-based Multi-Objective Evolutionary Algorithms: A Brief Summary. CLEI Electronic Journal, 25(1). doi: 10.19153/cleiej.25.1.3. (ID: 30785) ^(E)

Falcon Cardona, J. G., Coello Coello, C. A., Leguizamón, G., & Castillo Tapia, M. G. (2022). Multi-objective Ant Colony Optimization: An Updated Review of Approaches and Applications. In Dehuri, S. and Chen, YW. (Eds.), Advances in Machine Learning for Big Data Analysis (pp. 1 - 32). Springer. (ID: 30783) ^(E)

Falcon Cardona, J. G., Hernández Gómez, R., Coello Coello, C. A., & Castillo Tapia, M. G. (2021). Parallel Multi-Objective Evolutionary Algorithms: A Comprehensive Survey. Swarm and Evolutionary Computation, 67(100960). doi: 10.1016/j.swevo.2021.100960. (ID: 30786) ^(E)

Falcon Cardona, J. G., Ishibuchi, H., Coello Coello, C. A., & Emmerich, M. T. M. (2021). On the Effect of the Cooperation of Indicator-based Multi-Objective Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation, 25(4), 681 - 695. doi: 10.1109/TEVC.2021.3061545. (ID: 30787) ^(E)

Falcon Cardona, J. G., & Coello Coello, C. A. (2020). Indicator-based Multi-objective Evolutionary Algorithms: A Comprehensive Survey. ACM Computing Surveys, 53(2), 1-35. doi: 10.1145/3376916. (ID: 30788) ^(E)

Departamento:	Ciencias de la Computación
División:	Física Aplicada
Graduado en:

Falcon Cardona Jesus Guillermo

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