Mario Garza-Fabre

26 papers A 1B 5C 1Journal 12Unranked 7
YearRankTypeTitle / Venue / Authors
2024 J jnl
A memetic algorithm for improved joint route selection and split-level management in next-generation wireless communications.
Memetic Comput.
Mario Garza-Fabre, Cristian C. Erazo-Agredo, Javier Rubio-Loyola
2024 J jnl
Surrogate Models and Ensemble Strategies for Expensive Evolutionary Optimization: An Industrial Case Study.
IEEE Access
Mario Garza-Fabre, Nicolás Cortés-García, Hiram Galeana-Zapién, Ricardo Landa
2023 J jnl
Enabling realistic experimentation of disaggregated RAN: Design, implementation, and validation of a modular multi-split eNodeB.
Comput. Networks
Cristian C. Erazo-Agredo, Luis Díez, Ramón Agüero, Mario Garza-Fabre, Javier Rubio-Loyola
2023 J jnl
Evolutionary Multiobjective Clustering Over Multiple Conflicting Data Views.
IEEE Trans. Evol. Comput.
Mario Garza-Fabre, Julia Handl, Adán José García
2022 J jnl
Decision Making in Evolutionary Multiobjective Clustering: A Machine Learning Challenge.
IEEE Access
Mario Garza-Fabre, Aarón Leonardo Sánchez-Martínez, Edwin Aldana-Bobadilla, Ricardo Landa Becerra
2022 — conf
Machine Learning-Based Decision Making in Evolutionary Multiobjective Clustering.
MICAI (1)
Aarón Leonardo Sánchez-Martínez, Mario Garza-Fabre, Ricardo Landa Becerra, Edwin Aldana-Bobadilla
2021 J jnl
An evolutionary many-objective approach to multiview clustering using feature and relational data.
Appl. Soft Comput.
Adán José García, Julia Handl, Wilfrido Gómez-Flores, Mario Garza-Fabre
2021 J jnl
Joint Route Selection and Split Level Management for 5G C-RAN.
IEEE Trans. Netw. Serv. Manag.
Cristian C. Erazo-Agredo, Mario Garza-Fabre, Ramón Agüero Calvo, Luis Díez, Joan Serrat, Javier Rubio-Loyola
2019 — conf
Many-view clustering: an illustration using multiple dissimilarity measures.
GECCO (Companion)
Adán José García, Julia Handl, Wilfrido Gómez-Flores, Mario Garza-Fabre
2018 J jnl
An Improved and More Scalable Evolutionary Approach to Multiobjective Clustering.
IEEE Trans. Evol. Comput.
Mario Garza-Fabre, Julia Handl, Joshua D. Knowles
2017 C conf
A New Reduced-Length Genetic Representation for Evolutionary Multiobjective Clustering.
EMO
Mario Garza-Fabre, Julia Handl, Joshua D. Knowles
2017 — conf
On heuristic bias in fragment-assembly methods for protein structure prediction.
GECCO (Companion)
Julia Handl, Mario Garza-Fabre, Shaun M. Kandathil, Simon C. Lovell
2016 J jnl
Generating, Maintaining, and Exploiting Diversity in a Memetic Algorithm for Protein Structure Prediction.
Evol. Comput.
Mario Garza-Fabre, Shaun M. Kandathil, Julia Handl, Joshua D. Knowles, Simon C. Lovell
2015 J jnl
Constraint-handling through multi-objective optimization: The hydrophobic-polar model for protein structure prediction.
Comput. Oper. Res.
Mario Garza-Fabre, Eduardo Rodriguez-Tello, Gregorio Toscano Pulido
2015 J jnl
Multi-objectivization, fitness landscape transformation and search performance: A case of study on the hp model for protein structure prediction.
Eur. J. Oper. Res.
Mario Garza-Fabre, Gregorio Toscano Pulido, Eduardo Rodriguez-Tello
2015 — conf
Using Machine Learning to Explore the Relevance of Local and Global Features During Conformational Search in Rosetta.
GECCO (Companion)
Mario Garza-Fabre, Shaun M. Kandathil, Julia Handl, Joshua D. Knowles, Simon C. Lovell
2013 J jnl
Comparative Analysis of Different Evaluation Functions for Protein Structure Prediction Under the HP Model.
J. Comput. Sci. Technol.
Mario Garza-Fabre, Eduardo Rodriguez-Tello, Gregorio Toscano Pulido
2013 B conf
Handling constraints in the HP model for protein structure prediction by multiobjective optimization.
IEEE Congress on Evolutionary Computation
Mario Garza-Fabre, Gregorio Toscano Pulido, Eduardo Rodriguez-Tello
2012 — conf
An Improved Multiobjectivization Strategy for HP Model-Based Protein Structure Prediction.
PPSN (2)
Mario Garza-Fabre, Eduardo Rodriguez-Tello, Gregorio Toscano Pulido
2012 A conf
Locality-based multiobjectivization for the HP model of protein structure prediction.
GECCO
Mario Garza-Fabre, Gregorio Toscano Pulido, Eduardo Rodriguez-Tello
2012 B conf
Multiobjectivizing the HP Model for Protein Structure Prediction.
EvoCOP
Mario Garza-Fabre, Eduardo Rodriguez-Tello, Gregorio Toscano Pulido
2011 B conf
Comparing alternative energy functions for the HP model of protein structure prediction.
IEEE Congress on Evolutionary Computation
Mario Garza-Fabre, Eduardo Rodriguez-Tello, Gregorio Toscano Pulido
2011 B conf
Effective ranking + speciation = Many-objective optimization.
IEEE Congress on Evolutionary Computation
Mario Garza-Fabre, Gregorio Toscano Pulido, Carlos A. Coello Coello, Eduardo Rodriguez-Tello
2010 B conf
Two novel approaches for many-objective optimization.
IEEE Congress on Evolutionary Computation
Mario Garza-Fabre, Gregorio Toscano Pulido, Carlos A. Coello Coello
2009 — conf
Alternative Fitness Assignment Methods for Many-Objective Optimization Problems.
Artificial Evolution
Mario Garza-Fabre, Gregorio Toscano Pulido, Carlos A. Coello Coello
2009 — conf
Ranking Methods for Many-Objective Optimization.
MICAI
Mario Garza-Fabre, Gregorio Toscano Pulido, Carlos A. Coello Coello