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Alfonso Ramos-Michel
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2020 – today
- 2023
- [j3]Diego Oliva
, Noé Ortega-Sánchez, Mario A. Navarro
Segmentation of thermographies from electronic systems by using the global-best brain storm optimization algorithm. Multim. Tools Appl. 82(29): 44911-44941 (2023) - [j2]Ángel Casas-Ordaz, Diego Oliva
An improved opposition-based Runge Kutta optimizer for multilevel image thresholding. J. Supercomput. 79(15): 17247-17354 (2023) - [c7]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 - [c6]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 - [c5]Mario A. Navarro
An Hyper-Heuristic Based Population Management Through Statistical Analysis and Phases Optimization. CEC 2023: 1-8 - [c4]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
- [j1]Mario A. Navarro
An improved multi-population whale optimization algorithm. Int. J. Mach. Learn. Cybern. 13(9): 2447-2478 (2022) - [c3]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 - [c2]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 - [c1]Mario A. Navarro
Improving the Convergence and Diversity in Differential Evolution Through a Stock Market Criterion. EvoApplications 2022: 157-172
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