Peer-reviewed research across methods and applications.

Journal article · Explainable AI & road safety

Studying the impact of data preprocessing, hyperparameter tuning and machine learning algorithms in crash prediction explainability

Jon Díaz-Aparicio, Erick Rodríguez-Esparza, Jenny Fajardo-Calderín, Enrique Onieva

Array, 30, 100743

SOTERIA · RENAISSANCE

Journal article · Biomedical image processing

Visual enhancement of chest X-ray scans through metaheuristic-based optimization of Gamma correction and CLAHE

Oscar Ramos-Soto, Jorge Ramos-Frutos, Erick Rodríguez-Esparza, Diego Oliva, Ezequiel Pérez-Zarate, Francisco Carrasco-Hernández, Sandra E. Balderas-Mata

Biomedical Signal Processing and Control, 113, 109153

Conference paper · Evolutionary computation

Addressing Limitations and Inaccuracy of Diversity Metrics in Evolutionary Algorithms with an Accurate Dimension-Wise Diversity

Erick Rodríguez-Esparza, Bernardo Morales-Castañeda, Iñaki Aranguren, Arturo Valdivia, Mario A. Navarro, Diego Oliva

IEEE Congress on Evolutionary Computation (CEC), Hangzhou, China

Conference paper · Simulation-based optimization

A Simulation-Based AI-Driven Optimization for Roadworks Scheduling: A Case Study in South Holland

Adrián Pellicer-Pous, Erick Rodríguez-Esparza, Antonio D. Masegosa

12th International Congress on Transportation Research (ICTR), Thessaloniki, Greece

SYNCHROMODE

Book chapter · Biomedical image processing

A Hybrid Approach for Optic Disc Localization in Eye Fundus Images

Oscar Ramos-Soto, Erick Rodríguez-Esparza, Francisco Carrasco-Hernández, G. Pajares, Sandra E. Balderas-Mata

Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions, Springer

Journal article · Routing & hyper-heuristics

A new Hyper-heuristic based on Adaptive Simulated Annealing and Reinforcement Learning for the Capacitated Electric Vehicle Routing Problem

Erick Rodríguez-Esparza, Antonio D. Masegosa, Diego Oliva, Enrique Onieva

Expert Systems with Applications, 252, 124197

PhD research

Journal article · Evolutionary computation

Handling the balance of operators in evolutionary algorithms through a weighted Hill Climbing approach

Erick Rodríguez-Esparza, Bernardo Morales-Castañeda, Ángel Casas-Ordaz, Diego Oliva, Mario A. Navarro, Arturo Valdivia, Essam H. Houssein

Knowledge-Based Systems, 294, 111784

Journal article · Image processing

Optimizing Road Traffic Surveillance: A Robust Hyper-Heuristic Approach for Vehicle Segmentation

Erick Rodríguez-Esparza, Oscar Ramos-Soto, Antonio D. Masegosa, Enrique Onieva, Diego Oliva, Ander Arriandiaga, Amitava Ghosh

IEEE Access, 12, 29503–29524

PhD research

Conference paper · Evolutionary computation

Adaptability and Efficiency in Population Management: A multi-population CMA-ES Strategy for High-Dimensional Optimization

Bernardo Morales-Castañeda, Erick Rodríguez-Esparza, Diego Oliva, Mario A. Navarro, Iñaki Aranguren, Ángel Casas-Ordaz, Luis A. Beltrán, Santiago Zapotecas-Martínez

28th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES), Seville, Spain

Conference paper · Routing & reinforcement learning

A Flexible Vehicle Routing Reinforcement Learning Environment for the Reusability of Trained Agents

Jon Díaz, Jenny Fajardo, Erick Rodríguez-Esparza, Enrique Onieva

Proceedings of the 2024 10th International Conference on Computer Technology Applications, Vienna, Austria

Conference paper · Evolutionary computation

IDEL: An Improved Differential Evolution with Lissajous Mutation

Ángel Casas-Ordaz, Arturo Valdivia, Eduardo H. Haro, Diego Oliva, Luis A. Beltrán, Itzel Aranguren, Erick Rodríguez-Esparza, Diego Campos-Peña

2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan

Conference paper · Biomedical image processing

LoLi-IEA: low-light image enhancement algorithm

Ezequiel Pérez-Zarate, Oscar Ramos-Soto, Erick Rodríguez-Esparza, German Aguilar Acevedo

Applications of Machine Learning 2023, SPIE, San Diego, USA

Conference paper · Evolutionary computation

Improving Metaheuristic Algorithm Design Through Inequality and Diversity Analysis: A Novel Multi-Population Differential Evolution

Alfonso Ramos-Michel, Mario A. Navarro, Diego Oliva, Bernardo Morales-Castañeda, Ángel Casas-Ordaz, Arturo Valdivia, Erick Rodríguez-Esparza, Seyed Jalaleddin Mousavirad

2023 IEEE Symposium Series on Computational Intelligence (SSCI), Mexico City, Mexico

Conference paper · Urban freight & logistics

A two-phase metaheuristic approach for the parcel locker location problem: First select then merge

Erick Rodríguez-Esparza, Evangelos Kampitakis, Antonio D. Masegosa, Enrique Onieva, Eleni I. Vlahogianni

8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), Nice, France

PhD research

Conference paper · Evolutionary computation

An Hyper-Heuristic Based Population Management Through Statistical Analysis and Phases Optimization

Mario A. Navarro, Bernardo Morales-Castañeda, Alfonso Ramos-Michel, Diego Oliva, Arturo Valdivia, Ángel Casas-Ordaz, Erick Rodríguez-Esparza

2023 IEEE Congress on Evolutionary Computation (CEC), Chicago, USA

Conference paper · Evolutionary computation

A novel diversity-aware inertia weight and velocity control for particle swarm optimization

Bernardo Morales-Castañeda, Erick Rodríguez-Esparza, Diego Oliva, Ángel Casas-Ordaz, Arturo Valdivia, Mario A. Navarro, Alejandro Ramos-Michel, Seyed Jalaleddin Mousavirad

IEEE Congress on Evolutionary Computation (CEC), Chicago, USA

Conference paper · Evolutionary computation

Improving the Convergence of the PSO Algorithm with a Stagnation Variable and Fuzzy Logic

Bernardo Morales-Castañeda, Diego Oliva, Mario A. Navarro, Alfonso Ramos-Michel, Arturo Valdivia, Ángel Casas-Ordaz, Erick Rodríguez-Esparza, Seyed Jalaleddin Mousavirad

2023 IEEE Congress on Evolutionary Computation (CEC), Chicago, USA

Journal article · Image processing

Identification of apple diseases in digital images by using the Gaining-sharing knowledge-based algorithm for multilevel thresholding

Noé Ortega-Sánchez, Erick Rodríguez-Esparza, Diego Oliva, Marco Pérez-Cisneros, Ali Wagdy Mohamed, Gaurav Dhiman, Rosaura Hernández-Montelongo

Soft Computing, 26, 2587–2623

Journal article · Machine learning & image analysis

Classification of Apple Disease Based on Non-Linear Deep Features

Hamail Ayaz, Erick Rodríguez-Esparza, Muhammad Ahmad, Diego Oliva, Marco Pérez-Cisneros, Ram Sarkar

Applied Sciences, 11(14), 6422

Book chapter · Machine learning & image analysis

Classification System to Detect Diseases in Apples by Using a Convolutional Neural Network

A. Acosta, A. Ochoa, Erick Rodríguez-Esparza, Diego Oliva, A. A. Juan, G. Pajares

Technological and Industrial Applications Associated With Industry 4.0, Springer

Book chapter · Biomedical image processing

Thresholding Algorithm Applied to Chest X-Ray Images with Pneumonia

J. Murillo-Olmos, Erick Rodríguez-Esparza, Marco Pérez-Cisneros, Daniel Zaldivar, Erik Cuevas, G. Trejo-Caballero, A. A. Juan

Metaheuristics in Machine Learning: Theory and Applications, Springer

Conference paper · Biomedical image processing

Inner limiting membrane segmentation and surface visualization method on retinal OCT images

Oscar Ramos-Soto, Erick Rodríguez-Esparza, Marco Pérez-Cisneros, Sandra E. Balderas-Mata

Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging, SPIE, California, USA

Journal article · Biomedical image processing

An efficient retinal blood vessel segmentation in eye fundus images by using optimized top-hat and homomorphic filtering

Oscar Ramos-Soto, Erick Rodríguez-Esparza, Sandra E. Balderas-Mata, Diego Oliva, Aboul Ella Hassanien, Ravi K. Meleppat, Robert J. Zawadzki

Computer Methods and Programs in Biomedicine, 201, 105949

Conference paper · Evolutionary computation

A selection hyperheuristic guided by Thompson sampling for numerical optimization

Marcella Scoczynski, Diego Oliva, Erick Rodríguez-Esparza, Myriam Delgado, Ricardo Lüders, Mohamed El Yafrani, Luiz Ledo, Mohamed Abd Elaziz, Marco Pérez-Cisneros

Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO), Lille, France

Journal article · Biomedical image processing

An efficient Harris Hawks-inspired image segmentation method

Erick Rodríguez-Esparza, Laura A. Zanella-Calzada, Diego Oliva, Ali Asghar Heidari, Daniel Zaldivar, Marco Pérez-Cisneros, Loke Kok Foong

Expert Systems with Applications, 155, 113428

Master's research

Conference paper · Evolutionary computation

Balancing the Influence of Evolutionary Operators for Global Optimization

Diego Oliva, Erick Rodríguez-Esparza, Marcella S. R. Martins, Mohamed Abd Elaziz, Salvador Hinojosa, Ahmed A. Ewees, Songfeng Lu

2020 IEEE Congress on Evolutionary Computation (CEC), Glasgow, United Kingdom

Conference paper · Biomedical image processing

Automatic detection and classification of abnormal tissues on digital mammograms based on a bag-of-visual-words approach

Erick Rodríguez-Esparza, Laura A. Zanella-Calzada, Diego Oliva, Marco Pérez-Cisneros

Medical Imaging 2020: Computer-Aided Diagnosis, SPIE, Houston, USA

Book chapter · Biomedical image processing

Automatic Detection of Malignant Masses in Digital Mammograms Based on a MCET-HHO Approach

Erick Rodríguez-Esparza, Laura A. Zanella-Calzada, Daniel Zaldivar, Carlos E. Galván-Tejada

Applications of Hybrid Metaheuristic Algorithms for Image Processing, Springer

Conference paper · Evolutionary computation

Improving the estimation of parameters in induction motors using an evolutionary computation algorithm

Diego Oliva, Salvador Hinojosa, Marcella S. R. Martins, Erick Rodríguez-Esparza, Noé Ortega-Sánchez, Marco Pérez-Cisneros

2019 IEEE Latin American Conference on Computational Intelligence (LA-CCI), Guayaquil, Ecuador

Conference paper · Biomedical image processing

Multilevel segmentation for automatic detection of malignant masses in digital mammograms based on threshold comparison

Erick Rodríguez-Esparza, Laura A. Zanella-Calzada, Diego Oliva, Salvador Hinojosa, Marco Pérez-Cisneros

2019 IEEE Latin American Conference on Computational Intelligence (LA-CCI), Guayaquil, Ecuador

Conference paper · Biomedical engineering

Detección y Análisis de Trayectorias 2D de la Brazada de Crol para Evaluación Comparativa de la Técnica de Nado

Erick Rodríguez-Esparza, A. R. Mejía-Rodríguez, M. O. Mendoza-Gutiérrez

Memorias del Congreso Nacional de Ingeniería Biomédica, Monterrey, Mexico