Manta ray foraging optimization (MRFO) is a new optimization approach for global optimization problems. MRFO mathematically models and mimics three unique foraging strategies of manta rays, including chain foraging, cyclone foraging, and somersault foraging. The algorithm is simple and easy to implement.
引用
W. Zhao, Z. Zhang and L. Wang, Manta ray foraging optimization: An effective bio-inspired optimizer for engineering applications. Engineering Applications of Artifical Intelligence (2019), https://dio.org/10.1016/j.engappai.2019.103300.
MATLAB リリースの互換性
作成:
R2009b
すべてのリリースと互換性あり
プラットフォームの互換性
Windows macOS Linuxカテゴリ
Help Center および MATLAB Answers で Particle Swarm についてさらに検索
タグ
謝辞
ヒントを与えたファイル: Attacking Manta Ray foraging optimization (AMRFO) SourceCode
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!