A novel bio-inspired optimization model based on Yellow Saddle Goatfish behavior. - Daniel Zaldivar 001; Bernardo Morales-Castañeda; Alma Rodríguez; Arturo Valdivia; Erik Cuevas; Marco Antonio Pérez Cisneros (Biosyst., 2018)

An improved Simulated Annealing algorithm based on ancient metallurgy techniques. - Bernardo Morales-Castañeda; Daniel Zaldivar 001; Erik Cuevas; Oscar Maciel-Castillo; Itzel Aranguren; Fernando Fausto (Appl. Soft Comput., 2019)

A Real-Coded Optimal Sensor Deployment Scheme for Wireless Sensor Networks Based on the Social Spider Optimization Algorithm. - Fernando Fausto; Erik Cuevas; Oscar Maciel-Castillo; Bernardo Morales-Castañeda (Int. J. Comput. Intell. Syst., 2019)

A better balance in metaheuristic algorithms: Does it exist? - Bernardo Morales-Castañeda; Daniel Zaldivar 001; Erik Cuevas; Fernando Fausto; Alma Rodríguez (Swarm Evol. Comput., 2020)

Population management in metaheuristic algorithms: Could less be more? - Bernardo Morales-Castañeda; Daniel Zaldivar 001; Erik Cuevas; Alma Rodríguez; Mario A. Navarro (Appl. Soft Comput., 2021)

Improving the segmentation of magnetic resonance brain images using the LSHADE optimization algorithm. - Itzel Aranguren; Arturo Valdivia; Bernardo Morales-Castañeda; Diego Oliva; Mohamed E. Abd Elaziz; Marco Antonio Pérez Cisneros (Biomed. Signal Process. Control., 2021)

Handling stagnation through diversity analysis: A new set of operators for evolutionary algorithms. - Bernardo Morales-Castañeda; Oscar Maciel-Castillo; Mario A. Navarro; Itzel Aranguren; Arturo Valdivia; Alfonso Ramos-Michel; Diego Oliva; Salvador Hinojosa (CEC, 2022)

Improving the optimization performance by an adaptable design: A dynamic selection of operators via criteria-based matrix for evolutionary algorithms. - Mario A. Navarro; Alfonso Ramos-Michel; Bernardo Morales-Castañeda; Oscar Maciel-Castillo; Itzel Aranguren; Arturo Valdivia; Diego Oliva; Seyed Jalaleddin Mousavirad (CEC, 2022)

An agent-based transmission model of COVID-19 for re-opening policy design. - Alma Rodríguez; Erik Cuevas; Daniel Zaldivar 001; Bernardo Morales-Castañeda; Ram Sarkar; Essam H. Houssein (Comput. Biol. Medicine, 2022)

A diversity metric for population-based metaheuristic algorithms. - Valentín Osuna-Enciso; Erik Cuevas; Bernardo Morales-Castañeda (Inf. Sci., 2022)

An improved multi-population whale optimization algorithm. - Mario A. Navarro; Diego Oliva; Alfonso Ramos-Michel; Daniel Zaldivar 001; Bernardo Morales-Castañeda; Marco Antonio Pérez Cisneros; Arturo Valdivia; Huiling Chen 001 (Int. J. Mach. Learn. Cybern., 2022)

A Novel Diversity-Aware Inertia Weight and Velocity Control for Particle Swarm Optimization. - Bernardo Morales-Castañeda; Diego Oliva; Ángel Casas-Ordaz; Arturo Valdivia; Mario A. Navarro; Alfonso Ramos-Michel; Erick Rodríguez-Esparza; Seyed Jalaleddin Mousavirad (CEC, 2023)

Improving the Convergence of the PSO Algorithm with a Stagnation Variable and Fuzzy Logic. - Bernardo Morales-Castañeda; Diego Oliva; Mario A. Navarro; Alfonso Ramos-Michel; Arturo Valdivia; Ángel Casas-Ordaz; Erick Rodríguez-Esparza; Seyed Jalaleddin Mousavirad (CEC, 2023)

An Hyper-Heuristic Based Population Management Through Statistical Analysis and Phases Optimization. - Mario A. Navarro; Bernardo Morales-Castañeda; Alfonso Ramos-Michel; Diego Oliva; Arturo Valdivia; Ángel Casas-Ordaz; Erick Rodríguez-Esparza (CEC, 2023)

Improving Metaheuristic Algorithm Design Through Inequality and Diversity Analysis: A Novel Multi-Population Differential Evolution. - Alfonso Ramos-Michel; Mario A. Navarro; Diego Oliva; Bernardo Morales-Castañeda; Ángel Casas-Ordaz; Arturo Valdivia; Erick Rodríguez-Esparza; Seyed Jalaleddin Mousavirad (SSCI, 2023)

Population of Hyperparametric Solutions for the Design of Metaheuristic Algorithms: An Empirical Analysis of Performance in Particle Swarm Optimization. - Mario A. Navarro; Ángel Casas-Ordaz; Beatriz A. Rivera-Aguilar; Bernardo Morales-Castañeda; Diego Oliva (MIC (2), 2024)

Adaptability and Efficiency in Population Management: A multi-population CMA-ES Strategy for High-Dimensional Optimization. - Bernardo Morales-Castañeda; Erick Rodríguez-Esparza; Diego Oliva; Mario A. Navarro; Itzel Aranguren; Ángel Casas-Ordaz; Luis A. Beltran; Saúl Zapotecas Martínez (KES, 2024)

Handling the balance of operators in evolutionary algorithms through a weighted Hill Climbing approach. - Erick Rodríguez-Esparza; Bernardo Morales-Castañeda; Ángel Casas-Ordaz; Diego Oliva; Mario A. Navarro; Arturo Valdivia; Essam H. Houssein (Knowl. Based Syst., 2024)

Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis - Erik Cuevas; Alberto Luque; Bernardo Morales-Castañeda; Beatriz Rivera (Springer, 2024)

Addressing Limitations and Inaccuracy of Diversity Metrics in Evolutionary Algorithms with an Accurate Dimension-Wise Diversity. - Erick Rodríguez-Esparza; Bernardo Morales-Castañeda; Itzel Aranguren; Arturo Valdivia; Mario A. Navarro; Diego Oliva (CEC, 2025)