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 new population initialization approach based on Metropolis-Hastings (MH) method. - Erik Cuevas; Héctor Escobar; Ram Sarkar; Heba F. Eid (Appl. Intell., 2023)

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)

Filling space swarm optimization (FSSO): a metaheuristic algorithm with divided agent strategies and diamond crossover. - Erik Cuevas; Oscar A. González-Sánchez; Héctor Escobar; Ernesto Ayala; Daniel Zaldivar 001 (J. Supercomput., 2025)