Students and Colleagues

PhD dissertations

• Samuel Omar Tovias Alanis (co-supervised with Dr. Wilfrido Gómez Flores). Estrategias de Selección de Instancias Mediante Optimización Global y Multiobjetivo para Problemas de Aprendizaje Supervisado (in Spanish). Defended December 15, 2022.
• Auraham Sinhué Camacho García (co-supervised with Dr. Ricardo Landa Becerra). On the Use of Formulations to Solve Many-Objective Optimization Problems. Defended February 28, 2020.
• Giomara Lárraga Maldonado (co-supervised with Dr. Ricardo Landa Becerra). Generation and Quality Assessment of Regions of Interest in Multi-Objective Evolutionary Algorithms. Defended June 18, 2019.
• Alan Díaz Manríquez. On the use of Surrogate Models as Informed Operators to Improve the Efficiency of Multi-objective Evolutionary Algorithms in Expensive Problems. Defended June 2, 2014.
• Mario Garza Fabre (co-supervised with Dr. Eduardo Rodríguez-Tello). On the Use of Alternative Evaluation Schemes in Metaheuristics to Handle the Main Search Difficulties Involved with the Prediction of Protein Structures under the HP Model. Defended May 13, 2014.

MSc theses

• Daniel Rafael Torres Avalos (co-supervised with Dr. Eduardo Rodriguez-Tello). New Multi-Objective Optimization Reformulations for Solving the Maximum Parsimony Problem. Defended December 8, 2017.
• Feliciana Martinez Martinez. Use of Scalarizing Functions and Multiple Reference Points in Multi-objective Evolutionary Algorithms. Defended February 29, 2016.
• Giomara Lárraga Maldonado (co-supervised with Dr. Ricardo Landa Becerra). Incorporating Preferences through an Evolutionary ε-Constraint Based Method. Defended December 11, 2014.
• Auraham Sinhué Camacho García. Study of Hybrid Schemes for the Simultaneous use of Different Formulations of a Multi-objective Optimization Problem. Defended December 10, 2014.
• Gerardo Montemayor García. On the Use of Surrogate Models in Multiobjective Evolutionary Algorithms. Defended December 9, 2011.
• Jorge Sebastian Hernández Domínguez. A Study on the Mechanisms of two Multi-objective Evolutionary Algorithms. Defended December 8, 2011.
• Angelina Jane Reyes Medina. On the use of Computational Statistics for Parameter Tuning on Evolutionary Algorithms (in Spanish). Defended December 18, 2009.
• Alan Díaz Manríquez. Optimization of Dynamic Multiobjective Problems using Evolutionary Algorithms (in Spanish). Defended November 6, 2009.
• Mario Garza Fabre. Many-objective Optimization through Evolutionary Algorithms (in Spanish). Defended September 28, 2009.