Artificial Electric Field Algorithm (AEFA) is a population-based optimization techniques, it is inspired by the electrostatic force theory.
現在この提出コンテンツをフォロー中です。
- フォローしているコンテンツ フィードに更新が表示されます。
- コミュニケーション基本設定に応じて電子メールを受け取ることができます
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.
引用
Dr Anupam Yadav (2026). Binary Artificial Electric Field Algorithm (https://jp.mathworks.com/matlabcentral/fileexchange/131568-binary-artificial-electric-field-algorithm), MATLAB Central File Exchange. に取得済み.
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.
謝辞
ヒントを与えたファイル: AEFA for Training Neural Network (GAEFA-HK)
