Mario A. Navarro

According to our database, Mario A. Navarro authored at least 17 papers between 2020 and 2024.

Collaborative distances:

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

2024

Prism refraction search: a novel physics-based metaheuristic algorithm.

Rohit Kundu, Soumitri Chattopadhyay, Sayan Nag, Mario A. Navarro, Diego Oliva

J. Supercomput., May, 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

Quasi-random Fractal Search (QRFS): A dynamic metaheuristic with sigmoid population decrement for global optimization.

Luis A. Beltran, Mario A. Navarro, Diego Oliva, Diego Campos-Peña, Jorge Ramos-Frutos, Saúl Zapotecas Martínez

Expert Syst. Appl., 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

Segmentation of thermographies from electronic systems by using the global-best brain storm optimization algorithm.

Diego Oliva, Noé Ortega-Sánchez, Mario A. Navarro, Alfonso Ramos-Michel, Mohammed El-Abd, Seyed Jalaleddin Mousavirad, Mohammad H. Nadimi-Shahraki

Multim. Tools Appl., December, 2023

An improved opposition-based Runge Kutta optimizer for multilevel image thresholding.

Ángel Casas-Ordaz, Diego Oliva, Mario A. Navarro, Alfonso Ramos-Michel, Marco Antonio Pérez Cisneros

J. Supercomput., October, 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

Improving the Convergence and Diversity in Differential Evolution Through a Stock Market Criterion.

Mario A. Navarro, Alfonso Ramos-Michel, Angel Gaspar, Diego Oliva, Salvador Hinojosa, Seyed Jalaleddin Mousavirad, Marco Antonio Pérez Cisneros

Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 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

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

Comparison of Recent Metaheuristic Algorithms for Shape Detection in Images.

Erik Cuevas, Angel Trujillo, Mario A. Navarro, Primitivo Díaz

Int. J. Comput. Intell. Syst., 2020

Side-Blotched Lizard Algorithm: A polymorphic population approach.

Oscar Maciel-Castillo, Erik Cuevas, Mario A. Navarro, Daniel Zaldivar, Salvador Hinojosa

Appl. Soft Comput., 2020