Binary Artificial Electric Field Algorithm
Version 1.0.0.1 (5,15 ko) par
Dr Anupam Yadav
Artificial Electric Field Algorithm (AEFA) is a population-based optimization techniques, it is inspired by the electrostatic force theory.
Artificial Electric Field Algorithm (AEFA) is a population-based optimization techniques, it is inspired by the electrostatic force theory. This is a binary version of the AEFA scheme to improve the performance of the original AEFA scheme in discrete space. The popular S-shaped and V-shaped functions are used to design the binary versions of the AEFA.
Citation pour cette source
Dr Anupam Yadav (2026). Binary Artificial Electric Field Algorithm (https://fr.mathworks.com/matlabcentral/fileexchange/131568-binary-artificial-electric-field-algorithm), MATLAB Central File Exchange. Extrait(e) le .
Chauhan, Dikshit, and Anupam Yadav. “Binary Artificial Electric Field Algorithm.” Evolutionary Intelligence, Springer Science and Business Media LLC, Apr. 2022, doi:10.1007/s12065-022-00726-x.
Compatibilité avec les versions de MATLAB
Créé avec
R2023a
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS LinuxTags
Remerciements
A inspiré : AEFA for Training Neural Network (GAEFA-HK)
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| Version | Publié le | Notes de version | |
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| 1.0.0.1 | No Change |
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| 1.0.0 |
