Binary Artificial Electric Field Algorithm
Version 1.0.0.1 (5,15 KB) von
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.
Zitieren als
Dr Anupam Yadav (2026). Binary Artificial Electric Field Algorithm (https://de.mathworks.com/matlabcentral/fileexchange/131568-binary-artificial-electric-field-algorithm), MATLAB Central File Exchange. Abgerufen.
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.
Kompatibilität der MATLAB-Version
Erstellt mit
R2023a
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS LinuxTags
Quellenangaben
Inspiriert: AEFA for Training Neural Network (GAEFA-HK)
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| Version | Veröffentlicht | Versionshinweise | |
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| 1.0.0.1 | No Change |
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| 1.0.0 |
