A new metaheuristic approach based on agent systems principles. - Erik Cuevas; Jorge Gálvez; Karla Avila; Miguel Toski; Vahid Rafe (J. Comput. Sci., 2020)

Evolutionary-Mean shift algorithm for dynamic multimodal function optimization. - Erik Cuevas; Jorge Gálvez; Miguel Toski; Karla Avila (Appl. Soft Comput., 2021)

An Agent-Based Model for Public Security Strategies by Predicting Crime Patterns. - Héctor Escobar; Erik Cuevas; Miguel Islas Toski; Francisco Javier Ceron Ramirez; Marco Antonio Pérez Cisneros (IEEE Access, 2023)

A novel optimization approach based on unstructured evolutionary game theory. - Héctor Escobar-Cuevas; Erik Cuevas; Jorge Gálvez; Miguel Toski (Math. Comput. Simul., 2024)

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)