Bernardo Morales-Castañeda

Universidad de Guadalajara — Mexico

Computer Science · Physical Sciences

10h-index828citations39works1.52yr avg
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Research Topics

Metaheuristic Optimization Algorithms Research(27), Advanced Multi-Objective Optimization Algorithms(18), Evolutionary Algorithms and Applications(16), Scheduling and Optimization Algorithms(3), Vehicle Routing Optimization Methods(3)

Publications39 total

Simulating flood situations in urban hydrology using a diffusion model in complex networks
Stochastic Environmental Research and Risk Assessment·2025
Addressing Limitations and Inaccuracy of Diversity Metrics in Evolutionary Algorithms with an Accurate Dimension-Wise Diversity
2025
Analyzing metaheuristic algorithms performance and the causes of the zero-bias problem: a different perspective in benchmarks
Evolutionary Intelligence·2025· 2 cited
Diversity Measurement in Different PSO Variants Applied to Global Optimization and Classical Engineering Problems
Studies in computational intelligence·2025
Considering radial basis function neural network for effective solution generation in metaheuristic algorithms
Scientific Reports·2024· 10 citedOpen Access
Handling the balance of operators in evolutionary algorithms through a weighted Hill Climbing approach
Knowledge-Based Systems·2024· 5 cited
Enhancing Anisotropic Diffusion Filtering via Multi-objective Optimization
Studies in computational intelligence·2024
Population Control in Metaheuristic Algorithms: Can Fewer Be Better?
Studies in computational intelligence·2024
Fractional Fuzzy Controller Using Metaheuristic Techniques
Studies in computational intelligence·2024
Adaptability and Efficiency in Population Management: A multi-population CMA-ES Strategy for High-Dimensional Optimization
Procedia Computer Science·2024· 1 citedOpen Access
Population of Hyperparametric Solutions for the Design of Metaheuristic Algorithms: An Empirical Analysis of Performance in Particle Swarm Optimization
Lecture notes in computer science·2024
A Measure of Diversity for Metaheuristic Algorithms Employing Population-Based Approaches
Studies in computational intelligence·2024· 3 cited
Striving for Optimal Equilibrium in Metaheuristic Algorithms: Is It Attainable?
Studies in computational intelligence·2024
A Novel Method for Initializing Populations Using the Metropolis–Hastings (MH) Technique
Studies in computational intelligence·2024
Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis
Studies in computational intelligence·2024· 3 citedOpen Access
Introduction to Metaheuristic Methods
Studies in computational intelligence·2024· 2 cited
Exploration Paths Derived from Trajectories Extracted from Second-Order System Responses
Studies in computational intelligence·2024
Utilizing the Moth Swarm Algorithm to Improve Image Contrast
Studies in computational intelligence·2024· 1 cited
Improving Metaheuristic Algorithm Design Through Inequality and Diversity Analysis: A Novel Multi-Population Differential Evolution
2023· 1 cited
A Novel Diversity-Aware Inertia Weight and Velocity Control for Particle Swarm Optimization
2023· 3 cited
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Frequent Co-authors

Erik Cuevas(24), Mario A. Navarro(14), Daniel Zaldívar(13), Alberto Luque(11), Marco Pérez‐Cisneros(10), Diego Oliva(10), Beatriz Rivera(10), Alma Rodríguez(9), Arturo Valdivia(8), Ángel Casas-Ordaz(8), Alfonso Ramos-Michel(7), Erick Rodrí­guez-Esparza(7), Itzel Aranguren(5), Oscar Maciel-Castillo(4), Fernando Fausto(3), Seyed Jalaleddin Mousavirad(3), Miguel Islas Toski(3), Arturo Valdivia-G(2), Ram Sarkar(2), Essam H. Houssein(2)