| 2019 | GECCO | Many-view clustering: an illustration using multiple dissimilarity measures. | Adn Jos Garca, Julia Handl, Wilfrido Gmez-Flores, Mario Garza-Fabre |
| 2017 | EMO | A New Reduced-Length Genetic Representation for Evolutionary Multiobjective Clustering. | Mario Garza-Fabre, Julia Handl, Joshua D. Knowles |
| 2017 | GECCO | On heuristic bias in fragment-assembly methods for protein structure prediction. | Julia Handl, Mario Garza-Fabre, Shaun M. Kandathil, Simon C. Lovell |
| 2015 | GECCO | Using Machine Learning to Explore the Relevance of Local and Global Features During Conformational Search in Rosetta. | Mario Garza-Fabre, Shaun M. Kandathil, Julia Handl, Joshua D. Knowles, Simon C. Lovell |
| 2013 | CEC | Handling constraints in the HP model for protein structure prediction by multiobjective optimization. | Mario Garza-Fabre, Gregorio Toscano Pulido, Eduardo Rodriguez-Tello |
| 2012 | GECCO | Locality-based multiobjectivization for the HP model of protein structure prediction. | Mario Garza-Fabre, Gregorio Toscano Pulido, Eduardo Rodriguez-Tello |
| 2012 | PPSN | An Improved Multiobjectivization Strategy for HP Model-Based Protein Structure Prediction. | Mario Garza-Fabre, Eduardo Rodriguez-Tello, Gregorio Toscano Pulido |
| 2011 | CEC | Effective ranking + speciation = Many-objective optimization. | Mario Garza-Fabre, Gregorio Toscano Pulido, Carlos A. Coello Coello, Eduardo Rodriguez-Tello |
| 2011 | CEC | Comparing alternative energy functions for the HP model of protein structure prediction. | Mario Garza-Fabre, Eduardo Rodriguez-Tello, Gregorio Toscano Pulido |
| 2010 | CEC | Two novel approaches for many-objective optimization. | Mario Garza-Fabre, Gregorio Toscano Pulido, Carlos A. Coello Coello |