Erick Rodríguez-Esparza
Orcid: 0000-0002-8761-1626
According to our database1,
Erick Rodríguez-Esparza
authored at least 15 papers
between 2019 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
Improving Metaheuristic Algorithm Design Through Inequality and Diversity Analysis: A Novel Multi-Population Differential Evolution.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
A two-phase metaheuristic approach for the parcel locker location problem: First select then merge.
Proceedings of the 8th International Conference on Models and Technologies for Intelligent Transportation Systems, 2023
An Hyper-Heuristic Based Population Management Through Statistical Analysis and Phases Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
Improving the Convergence of the PSO Algorithm with a Stagnation Variable and Fuzzy Logic.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
A Novel Diversity-Aware Inertia Weight and Velocity Control for Particle Swarm Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
Identification of apple diseases in digital images by using the Gaining-sharing knowledge-based algorithm for multilevel thresholding.
Soft Comput., 2022
A new Hyper-heuristic based on Adaptive Simulated Annealing and Reinforcement Learning for the Capacitated Electric Vehicle Routing Problem.
CoRR, 2022
2021
An efficient retinal blood vessel segmentation in eye fundus images by using optimized top-hat and homomorphic filtering.
Comput. Methods Programs Biomed., 2021
Inner limiting membrane segmentation and surface visualization method on retinal OCT images.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
2020
Expert Syst. Appl., 2020
Automatic detection and classification of abnormal tissues on digital mammograms based on a bag-of-visual-words approach.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Multilevel segmentation for automatic detection of malignant masses in digital mammograms based on threshold comparison.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019
Improving the estimation of parameters in induction motors using an evolutionary computation algorithm.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019