Binary Artificial Electric Field Algorithm

Artificial Electric Field Algorithm (AEFA) is a population-based optimization techniques, it is inspired by the electrostatic force theory.

https://github.com/anupuam/BAEFA

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24 juin 2023

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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.

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Remerciements

A inspiré : AEFA for Training Neural Network (GAEFA-HK)

Informations générales

Compatibilité avec les versions de MATLAB

  • Compatible avec toutes les versions

Plateformes compatibles

  • Windows
  • macOS
  • Linux
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