Héctor Escobar-Cuevas

According to our database, Héctor Escobar-Cuevas authored at least 7 papers between 2024 and 2025.

Collaborative distances:

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

2025

Cellular neighbors optimizer: a novel metaheuristic approach inspired by the cellular automata and agent-based modeling for global optimization.

Oscar Barba-Toscano, Erik Cuevas, Héctor Escobar-Cuevas, Miguel Islas Toski

J. Supercomput., June, 2025

An improved swarm optimization algorithm using exploration and evolutionary game theory for efficient exploitation.

Nahum Aguirre, Erik Cuevas, Alberto Luque-Chang, Héctor Escobar-Cuevas

J. Supercomput., March, 2025

Integration of metaheuristic operators through unstructured evolutive game theory approach: a novel hybrid methodology.

Héctor Escobar-Cuevas, Erik Cuevas, Jesús López, Marco Antonio Pérez Cisneros

Evol. Intell., February, 2025

2024

A novel hybrid search strategy for evolutionary fuzzy optimization approach.

Héctor Escobar-Cuevas, Erik Cuevas, Jorge Gálvez, Karla Avila

Neural Comput. Appl., February, 2024

A novel optimization approach based on unstructured evolutionary game theory.

Héctor Escobar-Cuevas, Erik Cuevas, Jorge Gálvez, Miguel Toski

Math. Comput. Simul., 2024

An advanced initialization technique for metaheuristic optimization: a fusion of Latin hypercube sampling and evolutionary behaviors.

Héctor Escobar-Cuevas, Erik Cuevas, Karla Avila, Omar Ávalos

Comput. Appl. Math., 2024

Differential Evolution Search Strategy Enhancement Through Evolutionary Game Theory.

Héctor Escobar-Cuevas, Erik Cuevas, Alberto Luque-Chang, Marco Pérez-Cisneros, Daniel Zaldivar, Oscar Barba-Toscano, Mario Vásquez, Nahum Aguirre, Eric L. Marin

Proceedings of the IEEE Congress on Evolutionary Computation, 2024