On the Feasibility of using Neural Networks as High-level solvers for the Pod Allocation Problem within Robotic Mobile Fulfillment Systems. - Maria Torcoroma Benavides-Robles; Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss (ISCMI, 2023)

On the Feasibility of Using a High-Level Solver within Robotic Mobile Fulfillment Systems. - Maria Torcoroma Benavides-Robles; Jorge M. Cruz-Duarte; José Carlos Ortiz-Bayliss; Iván Amaya (SSCI, 2023)

Robotic Mobile Fulfillment System: A Systematic Review. - Maria Torcoroma Benavides-Robles; Gerardo Humberto Valencia-Rivera; Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss (IEEE Access, 2024)

A systematic review of metaheuristic algorithms in electric power systems optimization. - Gerardo Humberto Valencia-Rivera; Maria Torcoroma Benavides-Robles; Alonso Vela Morales; Iván Amaya; Jorge M. Cruz-Duarte; José Carlos Ortiz-Bayliss; Juan Gabriel Aviña-Cervantes (Appl. Soft Comput., 2024)

Algorithm Selection for Allocating Pods Within Robotic Mobile Fulfillment Systems: A Hyper-Heuristic Approach. - Maria Torcoroma Benavides-Robles; Jorge M. Cruz-Duarte; José Carlos Ortiz-Bayliss; Iván Amaya (IEEE Access, 2025)

Robotic Mobile Fulfillment Systems: Are Hyper-Heuristics a Feasible Approach When Dealing With the Pod Allocation and Item Storage Problems? - Toby Yung; Maria Torcoroma Benavides-Robles; José Carlos Ortiz-Bayliss; Iván Amaya (IEEE Access, 2025)