Bernardo Morales-Castañeda

According to our database, Bernardo Morales-Castañeda authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis

Erik Cuevas, Alberto Luque, Bernardo Morales-Castañeda, Beatriz Rivera

Studies in 1163, Springer, ISBN: 978-3-031-63052-1, 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

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

Proceedings of the Metaheuristics - 15th International Conference, 2024

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

Proceedings of the IEEE Symposium Series on Computational Intelligence, 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

Proceedings of the IEEE Congress on Evolutionary Computation, 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

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022

An improved multi-population whale optimization algorithm.

Mario A. Navarro, Diego Oliva, Alfonso Ramos-Michel, Daniel Zaldivar, Bernardo Morales-Castañeda, Marco Antonio Pérez Cisneros, Arturo Valdivia, Huiling Chen

Int. J. Mach. Learn. Cybern., 2022

A diversity metric for population-based metaheuristic algorithms.

Valentín Osuna-Enciso, Erik Cuevas, Bernardo Morales-Castañeda

Inf. Sci., 2022

An agent-based transmission model of COVID-19 for re-opening policy design.

Alma Rodríguez, Erik Cuevas, Daniel Zaldivar, Bernardo Morales-Castañeda, Ram Sarkar, Essam H. Houssein

Comput. Biol. Medicine, 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

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

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

Population management in metaheuristic algorithms: Could less be more?

Bernardo Morales-Castañeda, Daniel Zaldivar, Erik Cuevas, Alma Rodríguez, Mario A. Navarro

Appl. Soft Comput., 2021

2020

A better balance in metaheuristic algorithms: Does it exist?

Bernardo Morales-Castañeda, Daniel Zaldivar, Erik Cuevas, Fernando Fausto, Alma Rodríguez

Swarm Evol. Comput., 2020

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

An improved Simulated Annealing algorithm based on ancient metallurgy techniques.

Bernardo Morales-Castañeda, Daniel Zaldivar, Erik Cuevas, Oscar Maciel-Castillo, Itzel Aranguren, Fernando Fausto

Appl. Soft Comput., 2019

2018

A novel bio-inspired optimization model based on Yellow Saddle Goatfish behavior.

Daniel Zaldivar, Bernardo Morales-Castañeda, Alma Rodríguez, Arturo Valdivia, Erik Cuevas, Marco Antonio Pérez Cisneros

Biosyst., 2018