Mario A. Navarro

20 papers B 8Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Addressing Limitations and Inaccuracy of Diversity Metrics in Evolutionary Algorithms with an Accurate Dimension-Wise Diversity. CEC Erick Rodríguez-Esparza, Bernardo Morales-Castañeda, Itzel Aranguren, Arturo Valdivia, Mario A. Navarro, Diego Oliva
2025	J	`jnl`	Improving the exploitation in the estimation of distribution algorithm through simulated annealing strategies for solar energy problems. Knowl. Based Syst. Jorge Ramos-Frutos, Diego Oliva, Israel Miguel-Andrés, Mario A. Navarro, Arturo Valdivia, Saúl Zapotecas Martínez, Diego Campos-Peña
2024	B	`conf`	Adaptability and Efficiency in Population Management: A multi-population CMA-ES Strategy for High-Dimensional Optimization. KES Bernardo Morales-Castañeda, Erick Rodríguez-Esparza, Diego Oliva, Mario A. Navarro, Itzel Aranguren, Ángel Casas-Ordaz, Luis A. Beltran, Saúl Zapotecas Martínez
2024	J	`jnl`	Handling the balance of operators in evolutionary algorithms through a weighted Hill Climbing approach. Knowl. Based Syst. Erick Rodríguez-Esparza, Bernardo Morales-Castañeda, Ángel Casas-Ordaz, Diego Oliva, Mario A. Navarro, Arturo Valdivia, Essam H. Houssein
2024	—	`conf`	Population of Hyperparametric Solutions for the Design of Metaheuristic Algorithms: An Empirical Analysis of Performance in Particle Swarm Optimization. MIC (2) Mario A. Navarro, Ángel Casas-Ordaz, Beatriz A. Rivera-Aguilar, Bernardo Morales-Castañeda, Diego Oliva
2024	J	`jnl`	Prism refraction search: a novel physics-based metaheuristic algorithm. J. Supercomput. Rohit Kundu, Soumitri Chattopadhyay, Sayan Nag, Mario A. Navarro, Diego Oliva
2024	J	`jnl`	Quasi-random Fractal Search (QRFS): A dynamic metaheuristic with sigmoid population decrement for global optimization. Expert Syst. Appl. Luis A. Beltran, Mario A. Navarro, Diego Oliva, Diego Campos-Peña, Jorge Ramos-Frutos, Saúl Zapotecas Martínez
2023	B	`conf`	A Novel Diversity-Aware Inertia Weight and Velocity Control for Particle Swarm Optimization. CEC Bernardo Morales-Castañeda, Diego Oliva, Ángel Casas-Ordaz, Arturo Valdivia, Mario A. Navarro, Alfonso Ramos-Michel, Erick Rodríguez-Esparza, Seyed Jalaleddin Mousavirad
2023	B	`conf`	An Hyper-Heuristic Based Population Management Through Statistical Analysis and Phases Optimization. CEC Mario A. Navarro, Bernardo Morales-Castañeda, Alfonso Ramos-Michel, Diego Oliva, Arturo Valdivia, Ángel Casas-Ordaz, Erick Rodríguez-Esparza
2023	J	`jnl`	An improved opposition-based Runge Kutta optimizer for multilevel image thresholding. J. Supercomput. Ángel Casas-Ordaz, Diego Oliva, Mario A. Navarro, Alfonso Ramos-Michel, Marco Antonio Pérez Cisneros
2023	—	`conf`	Improving Metaheuristic Algorithm Design Through Inequality and Diversity Analysis: A Novel Multi-Population Differential Evolution. SSCI Alfonso Ramos-Michel, Mario A. Navarro, Diego Oliva, Bernardo Morales-Castañeda, Ángel Casas-Ordaz, Arturo Valdivia, Erick Rodríguez-Esparza, Seyed Jalaleddin Mousavirad
2023	B	`conf`	Improving the Convergence of the PSO Algorithm with a Stagnation Variable and Fuzzy Logic. CEC Bernardo Morales-Castañeda, Diego Oliva, Mario A. Navarro, Alfonso Ramos-Michel, Arturo Valdivia, Ángel Casas-Ordaz, Erick Rodríguez-Esparza, Seyed Jalaleddin Mousavirad
2023	J	`jnl`	Segmentation of thermographies from electronic systems by using the global-best brain storm optimization algorithm. Multim. Tools Appl. Diego Oliva, Noé Ortega-Sánchez, Mario A. Navarro, Alfonso Ramos-Michel, Mohammed El-Abd, Seyed Jalaleddin Mousavirad, Mohammad H. Nadimi-Shahraki
2022	J	`jnl`	An improved multi-population whale optimization algorithm. Int. J. Mach. Learn. Cybern. Mario A. Navarro, Diego Oliva, Alfonso Ramos-Michel, Daniel Zaldivar, Bernardo Morales-Castañeda, Marco Antonio Pérez Cisneros, Arturo Valdivia, Huiling Chen
2022	B	`conf`	Handling stagnation through diversity analysis: A new set of operators for evolutionary algorithms. CEC Bernardo Morales-Castañeda, Oscar Maciel-Castillo, Mario A. Navarro, Itzel Aranguren, Arturo Valdivia, Alfonso Ramos-Michel, Diego Oliva, Salvador Hinojosa
2022	B	`conf`	Improving the Convergence and Diversity in Differential Evolution Through a Stock Market Criterion. EvoApplications Mario A. Navarro, Alfonso Ramos-Michel, Angel Gaspar, Diego Oliva, Salvador Hinojosa, Seyed Jalaleddin Mousavirad, Marco Antonio Pérez Cisneros
2022	B	`conf`	Improving the optimization performance by an adaptable design: A dynamic selection of operators via criteria-based matrix for evolutionary algorithms. CEC Mario A. Navarro, Alfonso Ramos-Michel, Bernardo Morales-Castañeda, Oscar Maciel-Castillo, Itzel Aranguren, Arturo Valdivia, Diego Oliva, Seyed Jalaleddin Mousavirad
2021	J	`jnl`	Population management in metaheuristic algorithms: Could less be more? Appl. Soft Comput. Bernardo Morales-Castañeda, Daniel Zaldivar, Erik Cuevas, Alma Rodríguez, Mario A. Navarro
2020	J	`jnl`	Comparison of Recent Metaheuristic Algorithms for Shape Detection in Images. Int. J. Comput. Intell. Syst. Erik Cuevas, Angel Trujillo, Mario A. Navarro, Primitivo Díaz
2020	J	`jnl`	Side-Blotched Lizard Algorithm: A polymorphic population approach. Appl. Soft Comput. Oscar Maciel-Castillo, Erik Cuevas, Mario A. Navarro, Daniel Zaldivar, Salvador Hinojosa