Ángel Casas-Ordaz

Orcid: 0009-0005-7711-7551

According to our database1, Ángel Casas-Ordaz authored at least 12 papers between 2023 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Improving the estimation of distribution algorithm with a differential mutation for multilevel thresholding image segmentation.
Int. J. Mach. Learn. Cybern., October, 2024

Handling the balance of operators in evolutionary algorithms through a weighted Hill Climbing approach.
Knowl. Based Syst., 2024

Wrapper-Based Feature Selection to Classify Flatfoot Disease.
IEEE Access, 2024

IDEL: An Improved Differential Evolution with Lissajous Mutation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Enhancing Retinal OCT Scans via Metaheuristic-Driven Bayesian Speckle Denoising.
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.
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.
Proceedings of the Metaheuristics - 15th International Conference, 2024

2023
An improved opposition-based Runge Kutta optimizer for multilevel image thresholding.
J. Supercomput., October, 2023

Improving Metaheuristic Algorithm Design Through Inequality and Diversity Analysis: A Novel Multi-Population Differential Evolution.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

An Hyper-Heuristic Based Population Management Through Statistical Analysis and Phases Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

Improving the Convergence of the PSO Algorithm with a Stagnation Variable and Fuzzy Logic.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

A Novel Diversity-Aware Inertia Weight and Velocity Control for Particle Swarm Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023


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