Differential Evolution Search Strategy Enhancement Through Evolutionary Game Theory. - Héctor Escobar-Cuevas; Erik Cuevas; Alberto Luque-Chang; Marco Pérez-Cisneros; Daniel Zaldivar 001; Oscar Barba-Toscano; Mario Vásquez; Nahum Aguirre; Eric L. Marin (CEC, 2024)

An initialization approach for metaheuristic algorithms by using Gibbs sampling. - Erik Cuevas; Oscar Barba-Toscano; Héctor Escobar; Daniel Zaldivar 001; Alma Rodríguez-Vázquez (Math. Comput. Simul., 2024)

A novel cheetah optimizer hybrid approach based on opposition-based learning (OBL) and diversity metrics. - Erik Cuevas; Oscar Barba-Toscano; Héctor Escobar (Computing, 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., 2025)