Publications 2020

  • Efrén Mezura-Montes

International Journals

  • José-Yaír Guzmán-Gaspar, Efrén Mezura-Montes and Saúl Domínguez-Isidro, Differential Evolution in Robust Optimization Over Time using a Survival Time Approach, Mathematical and Computational Applications, 25(4), 72, 2020, DOI:10.3390/mca25040072.
  • Yatheendraprakash Govindaraju, Hector A. Durán-Limón and Efrén Mezura-Montes, A Regression Tree Predictive Model for Virtual Machine Startup Time in IaaS clouds, Cluster Computing, 2020, DOI:10.1007/s10586-020-03169-0.
  • Vianney Pérez-Gómez, Homero-V. Ríos-Figueroa, Ericka-Janet Rechy-Ramírez, Efrén Mezura Montes and Antonio Marín-Hernández, Feature selection on 2D and 3D geometric features to improve facial expression recognition, Sensors, 20(17), 4847, 2020 DOI:10.3390/s20174847.
  • Aldo Márquez-Grajales, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes and Mario Graff, A multi-breakpoints approach for symbolic discretization of time series, Knowledge and Information Systems, 62(7):2795-2834, 2020, DOI:10.1007/s10115-020-01437-4.
  • Vicente-Josué Aguilera-Rueda, Nicandro Cruz-Ramírez, Efrén Mezura-Montes, Data-Driven Bayesian Network Learning: a Bi-Objective Approach to Address the Bias-Variance Decomposition, Mathematical and Computational Applications, 25(2), 37, 2020, DOI:10.3390/mca25020037.
  • Gustavo-Adolfo Vargas-Hákim, Efrén Mezura-Montes, Edgar Galván, Evolutionary Multi-Objective Energy Production Optimization: An Empirical Comparison, Mathematical and Computational Applications, 25(2), 32, 2020, DOI:10.3390/mca25020032.
  • Adriana Cervantes-Castillo and Efrén Mezura-Montes, A Modified Brain Storm Optimization Algorithm with a Special Operator to Solve Constrained Optimization Problems, Applied Intelligence, 2020, DOI:10.1007/s10489-020-01763-8.
  • Alejandro Rodríguez-Molina, Efrén Mezura-Montes, Miguel-Gabriel Villarreal-Cervantes and Mario Aldape-Pérez, Multi-objective meta-heuristic optimization in intelligent control: a survey on the controller tuning problem, Applied Soft Computing, (93) 106342, 2020, DOI:10.1016/j.asoc.2020.106342.
  • Rafael Rivera-Lopez, Efrén Mezura-Montes, Juana Canul-Reich and Marco Antonio Cruz-Chávez, A permutational-based Differential Evolution algorithm for feature subset selection, Pattern Recognition Letters 133(86-93), 2020, DOI:10.1016/j.patrec.2020.02.021.
  • Octavio Ramos-Figueroa, Marcela Quiroz-Castellanos, Efrén Mezura-Montes and OliverSchütze, Metaheuristics to solve grouping problems: A review and a case study, Swarm and Evolutionary Computation, Volume 53, 100643, 2020, DOI: 10.1016/j.swevo.2019.100643.

International Conferences

  • Fabricio Loor, Guillermo Leguizamón and Efrén Mezura-Montes, Smart Grids Challenge: A competitive variant for Single Objective Numerical Optimization, in Proceedings of the Argentinian Conference on Computer Science (CACIC), pages 310-317, 2020, ISBN 978-987-4417-90-9, http://sedici.unlp.edu.ar/bitstream/handle/10915/114206/Documento_completo.pdf-PDFA.pdf?sequence=1.
  • Fabiola Paz, Guillermo Leguizamón and Efrén Mezura-Montes, Particle Swarm Optimization with Adaptive Inertia Weight using Fuzzy Logic for Large-Scale Problems, in Proceedings of the Argentinian Conference on Computer Science (CACIC), pages 61-60, 2020, ISBN 978-987-4417-90-9, http://sedici.unlp.edu.ar/handle/10915/113264.
  • Jesús-Adolfo Mejía-de-Dios and Efrén Mezura-Montes, A Surrogate-Assisted Metaheuristic for Bilevel Optimization, in Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO), Cancun, México, pages 629-635, ACM Press, 2020, https://doi.org/10.1145/3377930.3390236.
  • Saber Elsayed, Ruhul Sarker, Noha Hamza, Carlos Coello Coello and Efren Mezura-Montes, Enhancing Evolutionary Algorithms by Efficient Population Initialization for Constrained Problems, in Proceedings of the IEEE Congress on Evolutionary Computation (CEC), Glasgow, UK, pages 1-8, IEEE Press, 2020, https://doi.org/10.1109/CEC48606.2020.9185509.
  • Sebastian-José De-la-Cruz-Martínez and Efrén Mezura-Montes, Boundary Constraint-Handling in Differential Evolution for Mechanical Design Optimization, in Proceedings of the IEEE Congress on Evolutionary Computation (CEC), Glasgow, UK, pages 1-8, IEEE Press, 2020, https://doi.org/10.1109/CEC48606.2020.9185495.
  • Sebastián Hernández, Guillermo Leguizamón and Efrén Mezura-Montes, Evolución Diferencial para Problemas Restringidos Dinámicos, in Proceedings of the XXII Workshop de Investigadores en Ciencias de la Computación, Argentina, 2020 (in Spanish).

Book Chapters

  • Viviana-Yarel Rosales-Morales, Nicandro Cruz-Ramírez, Laura-Nely Sánchez-Morales, Giner Alor-Hernández, Marcela Quiroz-Castellanos and Efrén Mezura-Montes, Towards a Quantitative Identification of Mobile Social Media UIDPs’ Visual Features Using a Combination of Digital Image Processing and Machine Learning Techniques, in Oscar Castillo, Patricia Melín and Janusz Kacprzyk,  (Editors), Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, pages 659-674, Springer, 2020, ISBN:978-3-030-35444-2.
  • Kanhu Charan-Gouda Santosh Kumar-Das, Om Prakash-Dubey and Efrén Mezura-Montes, A GA-Based Intelligent Traffic Management Technique forWireless Body Area Sensor Networks, in D. De, A. Mukherjee, S. Kumar Das, and Dey, N. (Editors), Nature Inspired Computing for Wireless Sensor Networks, pages: 57-75, Springer, 2020, ISBN: 978-981-15-2124-9.

National journals

  • J. Manuel Pérez-Verdejo, Efrén Mezura-Montes, Ángel Juan Sánchez-García, Jorge Octavio Ocharán-Hernández, Calibración de hiperparámetros para la clasificación de requisitos de software mediante evolución diferencial , Research in Computing Science 149(8):241-251, 2020.
  • Vicente-Josué Aguilera-Rueda, Nicandro Cruz-Ramírez and Efrén Mezura-Montes, Data-Driven Bayesian Network Learning: Towards a Bi-Objective Approach to Address the Bias-Variance Decomposition, Research in Computing Science 149(3):9-17, 2020.
  • Sebastián-José de-la-Cruz-Martínez and Efrén Mezura-Montes, Elements of C-LSHADE Algorithm: An Empirical Study on Mechatronic Design Problems, Research in Computing Science 149(3):37-45, 2020.
  • Alejandro Platas-López, Nicandro Cruz-Ramírez, Efrén Mezura-Montes and Alejandro Guerra-Hernández, Discriminative Parameter Learning of Bayesian Networks Using Differential Evolution: A Preliminary Analysis, Research in Computing Science 149(3):75-82, 2020.
  • Gustavo-Adolfo Vargas-Hakim and Efrén Mezura-Montes, Optimization of Energy Production in Oklahoma: A Variant of an Evolutionary Algorithm of Multi-Objective Optimization, Research in Computing Science 149(3):83-91, 2020.
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