Erick Rodríguez-Esparza

24 papers B 7Journal 9Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Studying the impact of data preprocessing, hyperparameter tuning and machine learning algorithms in crash prediction explainability.
Array
Jon Díaz-Aparicio, Erick Rodríguez-Esparza, Jenny Fajardo Calderín, Enrique Onieva
2026 J jnl
Visual enhancement of chest X-ray scans through metaheuristic-based optimization of Gamma correction and CLAHE.
Biomed. Signal Process. Control.
Oscar Ramos-Soto, Jorge Ramos-Frutos, Erick Rodríguez-Esparza, Diego Oliva, Ezequiel Perez-Zarate, Francisco Carrasco-Hernández, Sandra E. Balderas-Mata
2025 B conf
Addressing Limitations and Inaccuracy of Diversity Metrics in Evolutionary Algorithms with an Accurate Dimension-Wise Diversity.
CEC
Erick Rodríguez-Esparza, Bernardo Morales-Castañeda, Itzel Aranguren, Arturo Valdivia, Mario A. Navarro, Diego Oliva
2024 — conf
A Flexible Vehicle Routing Reinforcement Learning Environment for the Reusability of Trained Agents.
ICCTA
Jon Díaz, Jenny Fajardo, Erick Rodríguez-Esparza, Enrique Onieva
2024 J jnl
A new Hyper-heuristic based on Adaptive Simulated Annealing and Reinforcement Learning for the Capacitated Electric Vehicle Routing Problem.
Expert Syst. Appl.
Erick Rodríguez-Esparza, Antonio D. Masegosa, Diego Oliva, Enrique Onieva
2024 B conf
Adaptability and Efficiency in Population Management: A multi-population CMA-ES Strategy for High-Dimensional Optimization.
KES
Bernardo Morales-Castañeda, Erick Rodríguez-Esparza, Diego Oliva, Mario A. Navarro, Itzel Aranguren, Ángel Casas-Ordaz, Luis A. Beltran, Saúl Zapotecas Martínez
2024 J jnl
Handling the balance of operators in evolutionary algorithms through a weighted Hill Climbing approach.
Knowl. Based Syst.
Erick Rodríguez-Esparza, Bernardo Morales-Castañeda, Ángel Casas-Ordaz, Diego Oliva, Mario A. Navarro, Arturo Valdivia, Essam H. Houssein
2024 B conf
IDEL: An Improved Differential Evolution with Lissajous Mutation.
CEC
Ángel Casas-Ordaz, Arturo Valdivia, Eduardo H. Haro, Diego Oliva, Luis A. Beltran, Itzel Aranguren, Erick Rodríguez-Esparza, Diego Campos-Peña
2024 J jnl
Optimizing Road Traffic Surveillance: A Robust Hyper-Heuristic Approach for Vehicle Segmentation.
IEEE Access
Erick Rodríguez-Esparza, Oscar Ramos-Soto, Antonio D. Masegosa, Enrique Onieva, Diego Oliva, Ander Arriandiaga, Arka Ghosh
2023 B conf
A Novel Diversity-Aware Inertia Weight and Velocity Control for Particle Swarm Optimization.
CEC
Bernardo Morales-Castañeda, Diego Oliva, Ángel Casas-Ordaz, Arturo Valdivia, Mario A. Navarro, Alfonso Ramos-Michel, Erick Rodríguez-Esparza, Seyed Jalaleddin Mousavirad
2023 — conf
A two-phase metaheuristic approach for the parcel locker location problem: First select then merge.
MT-ITS
Erick Rodríguez-Esparza, Emmanouil Kampitakis, Antonio D. Masegosa, Enrique Onieva, Eleni I. Vlahogianni
2023 B conf
An Hyper-Heuristic Based Population Management Through Statistical Analysis and Phases Optimization.
CEC
Mario A. Navarro, Bernardo Morales-Castañeda, Alfonso Ramos-Michel, Diego Oliva, Arturo Valdivia, Ángel Casas-Ordaz, Erick Rodríguez-Esparza
2023 — conf
Improving Metaheuristic Algorithm Design Through Inequality and Diversity Analysis: A Novel Multi-Population Differential Evolution.
SSCI
Alfonso Ramos-Michel, Mario A. Navarro, Diego Oliva, Bernardo Morales-Castañeda, Ángel Casas-Ordaz, Arturo Valdivia, Erick Rodríguez-Esparza, Seyed Jalaleddin Mousavirad
2023 B conf
Improving the Convergence of the PSO Algorithm with a Stagnation Variable and Fuzzy Logic.
CEC
Bernardo Morales-Castañeda, Diego Oliva, Mario A. Navarro, Alfonso Ramos-Michel, Arturo Valdivia, Ángel Casas-Ordaz, Erick Rodríguez-Esparza, Seyed Jalaleddin Mousavirad
2022 J jnl
A new Hyper-heuristic based on Adaptive Simulated Annealing and Reinforcement Learning for the Capacitated Electric Vehicle Routing Problem.
CoRR
Erick Rodríguez-Esparza, Antonio D. Masegosa, Diego Oliva, Enrique Onieva
2022 J jnl
Identification of apple diseases in digital images by using the Gaining-sharing knowledge-based algorithm for multilevel thresholding.
Soft Comput.
Noé Ortega-Sánchez, Erick Rodríguez-Esparza, Diego Oliva, Marco Antonio Pérez Cisneros, Ali Wagdy Mohamed, Gaurav Dhiman, Rosaura Hernández-Montelongo
2021 — conf
A selection hyperheuristic guided by Thompson sampling for numerical optimization.
GECCO Companion
Marcella Scoczynski Ribeiro Martins, Diego Oliva, Erick Rodríguez-Esparza, Myriam Regattieri Delgado, Ricardo Lüders, Mohamed El Yafrani, Luiz Ledo, Mohamed E. Abd Elaziz, Marco Antonio Pérez Cisneros
2021 J jnl
An efficient retinal blood vessel segmentation in eye fundus images by using optimized top-hat and homomorphic filtering.
Comput. Methods Programs Biomed.
Oscar Ramos-Soto, Erick Rodríguez-Esparza, Sandra E. Balderas-Mata, Diego Oliva, Aboul Ella Hassanien, Ratheesh Kumar Meleppat, Robert J. Zawadzki
2021 — conf
Inner limiting membrane segmentation and surface visualization method on retinal OCT images.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Oscar Ramos-Soto, Erick Rodríguez-Esparza, Marco Pérez-Cisneros, Sandra E. Balderas-Mata
2020 J jnl
An efficient Harris hawks-inspired image segmentation method.
Expert Syst. Appl.
Erick Rodríguez-Esparza, Laura A. Zanella-Calzada, Diego Oliva, Ali Asghar Heidari, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Loke Kok Foong
2020 — conf
Automatic detection and classification of abnormal tissues on digital mammograms based on a bag-of-visual-words approach.
Computer-Aided Diagnosis
Erick Rodríguez-Esparza, Laura A. Zanella-Calzada, Diego Oliva, Marco Pérez-Cisneros
2020 B conf
Balancing the Influence of Evolutionary Operators for Global optimization.
CEC
Diego Oliva, Erick Rodríguez-Esparza, Marcella S. R. Martins, Mohamed E. Abd Elaziz, Salvador Hinojosa, Ahmed A. Ewees, Songfeng Lu
2019 — conf
Improving the estimation of parameters in induction motors using an evolutionary computation algorithm.
LA-CCI
Diego Oliva, Salvador Hinojosa, Marcella S. R. Martins, Erick Rodríguez-Esparza, Noé Ortega-Sánchez, Marco Antonio Pérez Cisneros
2019 — conf
Multilevel segmentation for automatic detection of malignant masses in digital mammograms based on threshold comparison.
LA-CCI
Erick Rodríguez-Esparza, Laura A. Zanella-Calzada, Diego Oliva, Salvador Hinojosa, Marco Antonio Pérez Cisneros