Ángel Casas-Ordaz

According to our database, Ángel Casas-Ordaz authored at least 20 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Improving the response surface methodology optimization with metaheuristics: A practical approach.

Jorge Ramos-Frutos, Javier Cruz Salgado, Oscar Ramos-Soto, Israel Miguel-Andrés, Ricardo Pérez-Chávez, Diego Oliva, Ángel Casas-Ordaz, Emre Çelik, Mohammad H. Nadimi-Shahraki

Expert Syst. Appl., 2026

2025

Enhancing image thresholding segmentation with a novel hybrid battle royale optimization algorithm.

Ángel Casas-Ordaz, Itzel Aranguren, Diego Oliva, Seyed Jalaleddin Mousavirad, Marco Pérez-Cisneros

Multim. Tools Appl., May, 2025

Improving the selection of differential evolution through a quartile-based ranked operator.

Eduardo H. Haro, Diego Oliva, Ángel Casas-Ordaz, Elivier Reyes-Dávila, Omar Ávalos

Int. J. Mach. Learn. Cybern., April, 2025

Enhanced differential evolution through chaotic and Euclidean models for solving flexible process planning.

Eduardo H. Haro, Diego Oliva, Luis A. Beltran, Ángel Casas-Ordaz

Knowl. Based Syst., 2025

Multi-population estimation of distribution algorithm for multilevel thresholding in image segmentation.

Jorge Ramos-Frutos, Diego Oliva, Israel Miguel-Andrés, Ángel Casas-Ordaz, Oscar Ramos-Soto, Itzel Aranguren, Saúl Zapotecas Martínez

Neurocomputing, 2025

Improved Differential Evolution with Mahalanobis Distance: IMPDE.

Ángel Casas-Ordaz, Mario A. Navarro-Velázquez, Arturo Valdivia, Diego Oliva, Jorge Ramos-Frutos

Proceedings of the IEEE Congress on Evolutionary Computation, 2025

2024

Improving the estimation of distribution algorithm with a differential mutation for multilevel thresholding image segmentation.

Jorge Ramos-Frutos, Israel Miguel-Andrés, Diego Oliva, Ángel Casas-Ordaz

Int. J. Mach. Learn. Cybern., October, 2024

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

Erick Rodríguez-Esparza, Bernardo Morales-Castañeda, Ángel Casas-Ordaz, Diego Oliva, Mario A. Navarro, Arturo Valdivia, Essam H. Houssein

Knowl. Based Syst., 2024

Corrections to "Wrapper-Based Feature Selection to Classify Flatfoot Disease".

Israel Miguel-Andrés, Jorge Ramos-Frutos, Marwa Sharawi, Diego Oliva, Elivier Reyes-Dávila, Ángel Casas-Ordaz, Marco Pérez-Cisneros, Saúl Zapotecas Martínez

IEEE Access, 2024

Wrapper-Based Feature Selection to Classify Flatfoot Disease.

Israel Miguel-Andrés, Jorge Ramos-Frutos, Marwa Sharawi, Diego Oliva, Elivier Reyes-Dávila, Ángel Casas-Ordaz, Marco Pérez-Cisneros, Saúl Zapotecas Martínez

IEEE Access, 2024

Adaptability and Efficiency in Population Management: A multi-population CMA-ES Strategy for High-Dimensional Optimization.

Bernardo Morales-Castañeda, Erick Rodríguez-Esparza, Diego Oliva, Mario A. Navarro, Itzel Aranguren, Ángel Casas-Ordaz, Luis A. Beltran, Saúl Zapotecas Martínez

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

IDEL: An Improved Differential Evolution with Lissajous Mutation.

Ángel Casas-Ordaz, Arturo Valdivia, Eduardo H. Haro, Diego Oliva, Luis A. Beltran, Itzel Aranguren, Erick Rodríguez-Esparza, Diego Campos-Peña

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Enhancing Retinal OCT Scans via Metaheuristic-Driven Bayesian Speckle Denoising.

Oscar Ramos-Soto, Ángel Casas-Ordaz, Diego Oliva, Sandra E. Balderas-Mata, Saúl Zapotecas Martínez

Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

Improved Golden Sine II in Synergy with Non-monopolized Local Search Strategy.

Arturo Valdivia, Itzel Aranguren, Jorge Ramos-Frutos, Ángel Casas-Ordaz, Diego Oliva, Saúl Zapotecas Martínez

Proceedings of the Metaheuristics - 15th International Conference, 2024

Population of Hyperparametric Solutions for the Design of Metaheuristic Algorithms: An Empirical Analysis of Performance in Particle Swarm Optimization.

Mario A. Navarro, Ángel Casas-Ordaz, Beatriz A. Rivera-Aguilar, Bernardo Morales-Castañeda, Diego Oliva

Proceedings of the Metaheuristics - 15th International Conference, 2024

2023

An improved opposition-based Runge Kutta optimizer for multilevel image thresholding.

Ángel Casas-Ordaz, Diego Oliva, Mario A. Navarro, Alfonso Ramos-Michel, Marco Antonio Pérez Cisneros

J. Supercomput., October, 2023

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

Alfonso Ramos-Michel, Mario A. Navarro, Diego Oliva, Bernardo Morales-Castañeda, Ángel Casas-Ordaz, Arturo Valdivia, Erick Rodríguez-Esparza, Seyed Jalaleddin Mousavirad

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

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

Mario A. Navarro, Bernardo Morales-Castañeda, Alfonso Ramos-Michel, Diego Oliva, Arturo Valdivia, Ángel Casas-Ordaz, Erick Rodríguez-Esparza

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

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

Bernardo Morales-Castañeda, Diego Oliva, Mario A. Navarro, Alfonso Ramos-Michel, Arturo Valdivia, Ángel Casas-Ordaz, Erick Rodríguez-Esparza, Seyed Jalaleddin Mousavirad

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

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

Bernardo Morales-Castañeda, Diego Oliva, Ángel Casas-Ordaz, Arturo Valdivia, Mario A. Navarro, Alfonso Ramos-Michel, Erick Rodríguez-Esparza, Seyed Jalaleddin Mousavirad

Proceedings of the IEEE Congress on Evolutionary Computation, 2023