Selección óptima de variables mediante metaheurísticas binarias para la detección de fallas en un proceso industrial multivariado usando aprendizaje de máquina. - Jesús Alejandro Navarro-Acosta; Edgar O. Reséndiz-Flores; Irma D. García-Calvillo (Res. Comput. Sci., 2019)

Optimal feature selection in industrial foam injection processes using hybrid binary Particle Swarm Optimization and Gravitational Search Algorithm in the Mahalanobis-Taguchi System. - Edgar O. Reséndiz-Flores; Jesús Alejandro Navarro-Acosta; Agustín Hernández-Martínez (Soft Comput., 2020)

Smart fault detection and optimal variables identification using Kernel Mahalanobis Distance for industrial manufacturing processes. - Edgar O. Reséndiz-Flores; Jesús Alejandro Navarro-Acosta; Irma D. García-Calvillo (Int. J. Comput. Integr. Manuf., 2022)

Kernel-based gradient evolution optimization method. - Carlos O. Flor-Sánchez; Edgar O. Reséndiz-Flores; Gerardo Altamirano-Guerrero (Inf. Sci., 2022)

Fault detection based on squirrel search algorithm and support vector data description for industrial processes. - Jesús Alejandro Navarro-Acosta; Irma D. García-Calvillo; Edgar O. Reséndiz-Flores (Soft Comput., 2022)

Kernel-based hybrid multi-objective optimization algorithm (KHMO). - Carlos O. Flor-Sánchez; Edgar O. Reséndiz-Flores; Irma D. García-Calvillo (Inf. Sci., 2023)