Bases de datos bibliográficas:

Publicaciones del académico:

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

• An overview of fundamentals of Particle Swarm Optimization: Metaheuristic Algorithms with Python
• A novel diversity-aware inertia weight and velocity control for particle swarm optimization
• An Hyper-Heuristic Based Population Management Through Statistical Analysis and Phases Optimization
• Improving the Convergence of the PSO Algorithm with a Stagnation Variable and Fuzzy Logic
• Electrophysiological Signals Simulation with Machine Learning
• Electrophysiological Signals Simulation with Machine Learning
• Improving Metaheuristic Algorithm Design Through Inequality and Diversity Analysis: A Novel Multi-Population Differential Evolution

• An improved multi-population whale optimization algorithm
• Improving the optimization performance by an adaptable design: A dynamic selection of operators via criteria-based matrix for evolutionary algorithms
• Handling stagnation through diversity analysis: A new set of operators for evolutionary algorithms
• Digital image thresholding by using a lateral inhibition 2D histogram and a Mutated Electromagnetic Field Optimization
• A Literature Review of Hand-Based Interaction in Virtual Environments Through Computer Vision

• Moth Swarm Algorithm for Image Contrast Enhancement
• A Novel Metaheuristic Approach for Image Contrast Enhancement Based on Gray-Scale Mapping
• Learning classical and metaheuristic optimization techniques by using an educational platform based on LEGO robots
• Improving the segmentation of magnetic resonance brain images using the LSHADE optimization algorithm
• Group-based synchronous-asynchronous grey wolf optimizer
• Studies in Computational Intelligence

• A novel hybrid metaheuristic optimization method: hypercube natural aggregation algorithm
• Segmentation of magnetic resonance brain images through the self-adaptive differential evolution algorithm and the minimum cross-entropy criterion
• Studies in Computational Intelligence

• Autonomous Particles Groups for Synchronous-Asynchronous Particle Swarm Optimization
• A hybrid evolutionary approach based on the invasive weed optimization and estimation distribution algorithms
• A comparative study of evolutionary computation techniques for solar cells parameter estimation

• Ls-II: an improved locust search algorithm for solving optimization problems
• Improved unsupervised color segmentation using a modified HSV color model and a bagging procedure in K-means++ algorithm
• A novel bio-inspired optimization model based on Yellow Saddle Goatfish behavior
• Improved Unsupervised Color Segmentation Using a Modified HSV Color Model and a Bagging Procedure in K -Means++ Algorithm

• A template matching approach based on the behavior of swarms of locust
• A global optimization algorithm inspired in the behavior of selfish herds
• A chaos-embedded gravitational search algorithm for the identification of electrical parameters of photovoltaic cells
• A states of matter search-based approach for solving the problem of intelligent power allocation in plug-in hybrid electric vehicles