Bases de datos bibliográficas:

Publicaciones del académico:

• Impact of Programming Languages on Learning Performance
• Integrating agent-based models and clustering methods for improving image segmentation
• Metaheuristic Techniques for Fine‐Tuning Parameter of Complex Systems
• Techniques of Machine Learning Mixed with Metaheuristic Methods
• Metaheuristic Methods for Clustering
• Metaheuristic Methods for Regression
• Metaheuristic Methods for Classification
• Main Metaheuristic Techniques
• Fundamentals of Machine Learning
• Fundamental Machine Learning Methods
• DC Motors: Modeling, Designing and Building with 3D Printers
• Agent-Based Modeling Approaches as Metaheuristic Methods
• Analyzing metaheuristic algorithms performance and the causes of the zero-bias problem: a different perspective in benchmarks
• Modeling Optimization Techniques Inspired by Yellow Saddle Goatfish Behavior
• Locust Search Algorithm: A Novel Swarm Intelligence Approach for Complex Optimization
• An Algorithm for Global Optimization Inspired by Collective Animal Behavior
• Techniques of Machine Learning for Modifying the Search Strategy
• An improved swarm optimization algorithm using exploration and evolutionary game theory for efficient exploitation
• Metaheuristic Methods for Dimensional Reduction
• A novel cheetah optimizer hybrid approach based on opposition-based learning (OBL) and diversity metrics
• Curve Fitting
• Probability Distributions and the Random Search Method
• The EOQ Problem with Multiple Suppliers, Restrictions, and Volume Discounts
• Introduction and John’s Story
• Basic Concepts of Optimization
• Evolutionary Strategies (ES)
• The Gradient Descent Method Generalization for N Dimensions
• Brief History and Classification of Metaheuristic Optimization Methods
• The Simulated Annealing Method
• The Particle Swarm Optimization Method
• Techniques of Machine Learning for Producing Metaheuristic Operators
• Agent-Based Models with MATLAB
• An Optimization Algorithm Inspired by the States of Matter that Improves the Balance Between Exploration and Exploitation
• A Fuzzy Logic-Inspired Metaheuristic Method for Enhanced Optimization
• Improving Function Evaluation Efficiency with an Enhanced Evolutionary Algorithm

• A metaheuristic algorithm based on a radial basis function neural networks
• An initialization approach for metaheuristic algorithms by using Gibbs sampling
• A novel optimization approach based on unstructured evolutionary game theory
• Image segmentation with Cellular Automata
• Enhancing Bicycle Trajectory Planning in Urban Environments through Complex Network Optimization
• Metaheuristic optimization with dynamic strategy adaptation: An evolutionary game theory approach
• Exploration Paths Derived from Trajectories Extracted from Second-Order System Responses
• Striving for Optimal Equilibrium in Metaheuristic Algorithms: Is It Attainable?
• Utilizing the Moth Swarm Algorithm to Improve Image Contrast
• Population Control in Metaheuristic Algorithms: Can Fewer Be Better?
• A Novel Method for Initializing Populations Using the Metropolis–Hastings (MH) Technique
• A Measure of Diversity for Metaheuristic Algorithms Employing Population-Based Approaches
• Considering radial basis function neural network for effective solution generation in metaheuristic algorithms
• Introduction to Metaheuristic Methods
• Enhancing Anisotropic Diffusion Filtering via Multi-objective Optimization