Publicaciones (20) Publicaciones de Erick Rodríguez Esparza

2023

  1. A Novel Diversity-Aware Inertia Weight and Velocity Control for Particle Swarm Optimization

    2023 IEEE Congress on Evolutionary Computation, CEC 2023

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

    2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2023

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

    2023 IEEE Congress on Evolutionary Computation, CEC 2023

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

    2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023

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

    2023 IEEE Congress on Evolutionary Computation, CEC 2023

2021

  1. A selection hyperheuristic guided by Thompson sampling for numerical optimization

    GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion

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

    Computer Methods and Programs in Biomedicine, Vol. 201

  3. Classification of apple disease based on non-linear deep features

    Applied Sciences (Switzerland), Vol. 11, Núm. 14

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

    Progress in Biomedical Optics and Imaging - Proceedings of SPIE

  5. Thresholding Algorithm Applied to Chest X-Ray Images with Pneumonia

    Studies in Computational Intelligence (Springer Science and Business Media Deutschland GmbH), pp. 359-407

2020

  1. An efficient Harris hawks-inspired image segmentation method

    Expert Systems with Applications, Vol. 155

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

    Studies in Computational Intelligence (Springer), pp. 351-374

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

    Progress in Biomedical Optics and Imaging - Proceedings of SPIE

  4. Balancing the Influence of Evolutionary Operators for Global optimization

    2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings

2019

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

    2019 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2019

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

    2019 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2019