Publications 2022

International Journals

  • Iman Rahimi, Amir H. Gandomi, Fang Chen, and Efrén Mezura-Montes, A Review on Constraint Handling Techniques for Population-based Algorithms: from single-objective to multi-objective optimization, Archives of Computational Methods in Engineering, 2022, https://doi.org/10.1007/s11831-022-09859-9.
  • Jesús-Adolfo Mejía-de-Dios and Efrén Mezura-Montes, Metaheuristics: A Julia Package for Single- and Multi-Objective Optimization, Journal of Open Source Software, 7(78), 4723, 2022, https://doi.org/10.21105/joss.04723.
  • Ricardo Cortez, Rubén Garrido and Efrén Mezura-Montes, Spectral Richness PSO algorithm for parameter identification of dynamical systems under non-ideal excitation conditions, Applied Soft Computing, Volume 128, 109490, 2022, https://doi.org/10.1016/j.asoc.2022.109490.
  • Stephanie Amador-Larrea, Marcela Quiroz-Castellanos, Guillermo-de-Jesús Hoyos-Rivera, and Efrén Mezura-Montes, An Experimental Study of Grouping Crossover Operators for the Bin Packing Problem, Computación y Sistemas, Vol. 26, No. 2, pp. 663–682, 2022, https://doi.org/10.13053/CyS-26-2-4249.
  • Guadalupe Carmona-Arroyo, Marcela Quiroz-Castellanos, Efrén Mezura-Montes, Variable Decomposition for Large-scale Constrained Optimization Problems Using a Grouping Genetic Algorithm, Mathematical and Computational Applications, 27(2), 23, 2022, https://doi.org/10.3390/mca27020023
  • Gustavo-Adolfo Vargas-Hákim, Efrén Mezura-Montes, and Héctor-Gabriel Acosta-Mesa, A Review on Convolutional Neural Networks Encodings for Neuroevolution, IEEE Transactions on Evolutionary Computation, Volume: 26, Issue: 1, pages: 12-27, February 2022, https://doi.org/10.1109/TEVC.2021.3088631.
  • Jesús-Adolfo Mejía-de-Dios, Efrén Mezura-Montes, and Porfirio Toledo-Hernández, Pseudo-feasible Solutions in Evolutionary Bilevel Optimization: Test Problems and Performance Assessment, Applied Mathematics and Computation, Volume 412, 1 January 2022, 126577, 2021, https://doi.org/10.1016/j.amc.2021.126577.

 

International Conferences

  • Rafael Colorado-Fernández, Ángel Sánchez-García, Efrén Mezura-Montes, Jorge-Octavio Ocharán-Hernández, Bioinspired Algorithms in Software Testing: A Systematic Literature Review, in Proceedings of the International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE 2022), Cuernavaca, Mexico, IEEE Press, 2022 (accepted).
  • Diego Tristán-Rodríguez, Rubén Garrido and Efrén Mezura-Montes, Tuning of a Modified Model Reference Adaptive Controller using a PSO algorithm, in Proceedings of the 2022 19th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE 2022), pages 1-6, Mexico City, Mexico, IEEE Press, 2022, https://doi.org/10.1109/CCE56709.2022.9975914.
  • David Herrera-Sánchez, Efrén Mezura-Montes and Héctor-Gabriel Acosta-Mesa, Feature Construction, Feature Reduction and Search Space Reduction Using Genetic Programming, in Proceedings of the 9th International Conference on Soft Computing & Machine Intelligence (ISCMI), pages 152-156, Toronto, Canada, IEEE Press, 2022, https://doi.org/10.1109/ISCMI56532.2022.10068452.
  • Diego Tristán-Rodríguez, Rubén Garrido, and Efrén Mezura-Montes, Optimization of a state feedback controller using a PSO algorithm, in Proceedings of the IEEE International Conference on Automation Science and Engineering (CASE), pages 729-734, Mexico City, MEXICO, IEEE Press, 2022, https://doi.org/10.1109/CASE49997.2022.9926501.
  • Daniel Molina-Pérez, Edgar-Alfredo Portilla-Flores, Efrén Mezura-Montes, and Eduardo Vega-Alvarado, An improved Estimation of Distribution Algorithm for Solving Constrained Mixed-Integer Nonlinear Programming Problems, in Proceedings of the IEEE Congress on Evolutionary Computation (CEC), pages 01-08, Padua, Italy, IEEE Press, 2022, https://doi.org/10.1109/CEC55065.2022.9870338.
  • Jesús-Adolfo Mejía-de-Dios, Alejandro Rodríguez-Molina, and Efrén Mezura-Montes, A Novel Evolutionary Framework Based on a Family Concept for Solving Multi-objective Bilevel Optimization Problems, in Companion Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO), pages 348–351, Boston, USA, ACM Press, 2022, https://doi.org/10.1145/3520304.3529045.

Book Chapters

  • Raju Prajapati, Om Prakash Dubey, and Efrén Mezura-Montes, Improved Particle Swarm Optimization and Non-Quadratic Penalty Method for Non-Linear Programming Problems with Equality Constraints, in A. W. Mohamed et al. (eds.), Handbook of Nature-Inspired Optimization Algorithms: The State of the Art – Volume II: Solving Constrained Single Objective Real-Parameter Optimization Problems, pages 59-83, Studies in Systems, Decision and Control 213, Springer, 2022, https://doi.org/10.1007/978-3-031-07516-2_4.

National Journals

Publicado en Páginas