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Bernardo Morales-Castañeda
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2020 – today
- 2024
- [b1]Erik Cuevas, Alberto Luque, Bernardo Morales-Castañeda, Beatriz Rivera:
Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis. Studies in 1163, Springer 2024, ISBN 978-3-031-63052-1, pp. 1-297 - [j10]Erick Rodríguez-Esparza, Bernardo Morales-Castañeda, Ángel Casas-Ordaz, Diego Oliva
, Mario A. Navarro, Arturo Valdivia, Essam H. Houssein
Handling the balance of operators in evolutionary algorithms through a weighted Hill Climbing approach. Knowl. Based Syst. 294: 111784 (2024) - [c7]Mario A. Navarro
Population of Hyperparametric Solutions for the Design of Metaheuristic Algorithms: An Empirical Analysis of Performance in Particle Swarm Optimization. MIC (2) 2024: 292-305 - 2023
- [c6]Bernardo Morales-Castañeda, Diego Oliva, Ángel Casas-Ordaz, Arturo Valdivia
A Novel Diversity-Aware Inertia Weight and Velocity Control for Particle Swarm Optimization. CEC 2023: 1-8 - [c5]Bernardo Morales-Castañeda, Diego Oliva, Mario A. Navarro
Improving the Convergence of the PSO Algorithm with a Stagnation Variable and Fuzzy Logic. CEC 2023: 1-8 - [c4]Mario A. Navarro
An Hyper-Heuristic Based Population Management Through Statistical Analysis and Phases Optimization. CEC 2023: 1-8 - [c3]Alfonso Ramos-Michel, Mario A. Navarro
Improving Metaheuristic Algorithm Design Through Inequality and Diversity Analysis: A Novel Multi-Population Differential Evolution. SSCI 2023: 1547-1552 - 2022
- [j9]Alma Rodríguez, Erik Cuevas
An agent-based transmission model of COVID-19 for re-opening policy design. Comput. Biol. Medicine 148: 105847 (2022) - [j8]Valentín Osuna-Enciso, Erik Cuevas, Bernardo Morales-Castañeda
A diversity metric for population-based metaheuristic algorithms. Inf. Sci. 586: 192-208 (2022) - [j7]Mario A. Navarro
An improved multi-population whale optimization algorithm. Int. J. Mach. Learn. Cybern. 13(9): 2447-2478 (2022) - [c2]Bernardo Morales-Castañeda, Oscar Maciel-Castillo, Mario A. Navarro
Handling stagnation through diversity analysis: A new set of operators for evolutionary algorithms. CEC 2022: 1-7 - [c1]Mario A. Navarro
Improving the optimization performance by an adaptable design: A dynamic selection of operators via criteria-based matrix for evolutionary algorithms. CEC 2022: 1-8 - 2021
- [j6]Bernardo Morales-Castañeda
Population management in metaheuristic algorithms: Could less be more? Appl. Soft Comput. 107: 107389 (2021) - [j5]Itzel Aranguren
Improving the segmentation of magnetic resonance brain images using the LSHADE optimization algorithm. Biomed. Signal Process. Control. 64: 102259 (2021) - 2020
- [j4]Bernardo Morales-Castañeda
A better balance in metaheuristic algorithms: Does it exist? Swarm Evol. Comput. 54: 100671 (2020)
2010 – 2019
- 2019
- [j3]Bernardo Morales-Castañeda
An improved Simulated Annealing algorithm based on ancient metallurgy techniques. Appl. Soft Comput. 84 (2019) - [j2]Fernando Fausto, Erik Cuevas, Oscar Maciel-Castillo, Bernardo Morales-Castañeda
A Real-Coded Optimal Sensor Deployment Scheme for Wireless Sensor Networks Based on the Social Spider Optimization Algorithm. Int. J. Comput. Intell. Syst. 12(2): 676-696 (2019) - 2018
- [j1]Daniel Zaldivar, Bernardo Morales-Castañeda
A novel bio-inspired optimization model based on Yellow Saddle Goatfish behavior. Biosyst. 174: 1-21 (2018)
Coauthor Index
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