The cooperation search algorithm (CSA) randomly generates a set of candidate solutions in the problem space, and then three operators are repeatedly executed until the stopping criterion is met: the team communication operator is used to improve the global exploration and determine the promising search area; the reflective learning operator is used to achieve a comprise between exploration and exploitation; the internal competition operator is used to choose solutions with better performances for the next cycle.
引用
Feng, Zhong-kai, et al. “Cooperation Search Algorithm: A Novel Metaheuristic Evolutionary Intelligence Algorithm for Numerical Optimization and Engineering Optimization Problems.” Applied Soft Computing, vol. 98, Elsevier BV, Jan. 2021, p. 106734, doi:10.1016/j.asoc.2020.106734.
MATLAB リリースの互換性
作成:
R2020b
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タグ
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!バージョン | 公開済み | リリース ノート | |
---|---|---|---|
1.0.0 |