The group's primary objective is to develop novel algorithms, methodologies, and tools to tackle complex problems that arise in various domains, including engineering, operations research, and machine learning. They strive to bridge the gap between theory and practice by addressing real-world challenges and developing practical solutions.
Rocio Salinas-Guerra, Efrén Mezura-Montes, Marcela Quiroz-Castellanos, Jesus-Adolfo Mejia-De-Dios, Slim Bechikh, A Hybrid Evolutionary Approach with Group-based Solution Encoding for Solving the Constrained Bilevel Multi-Depot Vehicle Routing Problem in In Proceedings of the IEEE Congress on Evolutionary Computation (CEC), editors, . IEEE Press, Chicago, USA, 2023.
Jesús-Adolfo Mejía-de-Dios, Alejandro Rodríguez-Molina, Efrén Mezura-Montes, Multiobjective Bilevel Optimization: A Survey of the State-of-the-Art in IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1-0, 2023.
Rocío Salinas-Guerra, Jesús-Adolfo Mejía-de-Dios, Efrén Mezura-Montes, Aldo Márquez-Grajales, An Evolutionary Bilevel Optimization Approach for Neuroevolution in O. Castillo and P. Melin (eds.), Hybrid Intelligent Systems based on Extensions of Fuzzy Logic, Neural Networks and Metaheuristics, Studies in Computational Intelligence 1096, 2023.
Jesús-Adolfo Mejía-de-Dios, Efrén Mezura-Montes, Porfirio Toledo-Hernández, Pseudo-feasible solutions in evolutionary bilevel optimization: Test problems and performance assessment in Applied Mathematics and Computation, 412, 126577, 2022.
Jesús-Adolfo Mejía-de-Dios, Alejandro Rodríguez-Molina, Efrén Mezura-Montes, A Novel Evolutionary Framework Based on a Family Concept for Solving Multi-Objective Bilevel Optimization Problems in In Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO '22, 348–351, New York, NY, USA, 2022. Association for Computing Machinery.
Jesús-Adolfo Mejía-de-Dios, Efrén Mezura-Montes, Generating multi-objective bilevel optimization problems with multiple non-cooperative followers in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2021.
Jesús-Adolfo Mejía-de-Dios, Efrén Mezura-Montes, Marcela Quiroz-Castellanos, Automated parameter tuning as a bilevel optimization problem solved by a surrogate-assisted population-based approach in Applied Intelligence, 2021.
Jesús-Adolfo Mejía-de-Dios, Efrén Mezura-Montes, A surrogate-assisted metaheuristic for bilevel optimization in Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020.
Jesus-Adolfo Mejia-de-Dios, Efren Mezura-Montes, A Metaheuristic for Bilevel Optimization Using Tykhonov Regularization and the Quasi-Newton Method in 2019 IEEE Congress on Evolutionary Computation (CEC), 2019.