Electric Eel Foraging Optimization (EEFO)

版本 1.0.2 (5.4 KB) 作者: W. Zhao
Electric eel foraging optimization (EEFO) is a new optimization algorithm for solving global optimization problems.
5.0
(3)
937.0 次下载
更新时间 2023/11/13

查看许可证

Electric eel foraging optimization (EEFO) is a new optimization approach for solving optimization problems. draws inspiration from the intelligent group foraging behaviors exhibited by electric eels in nature. The algorithm mathematically models four key foraging behaviors: interaction, resting, hunting, and migration, to provide both exploration and exploitation during the optimization process. In addition, an energy factor is developed to manage the transition from global search to local search and the balance between exploration and exploitation in the search space.
W. Zhao, L. Wang, Z. Zhang, H. Fan, J. Zhang, S. Mirjalili, N. Khodadadi, Q. Cao, Electric eel foraging optimization: A new bio-inspired optimizer for engineering applications,Expert Systems With Applications, 238, (2024),122200, https://doi.org/10.1016/j.eswa.2023.122200.
The free download (before December 21, 2023) is available at:https://authors.elsevier.com/a/1i0al3PiGTPhjD

引用格式

W. Zhao (2024). Electric Eel Foraging Optimization (EEFO) (https://www.mathworks.com/matlabcentral/fileexchange/153461-electric-eel-foraging-optimization-eefo), MATLAB Central File Exchange. 检索时间: .

MATLAB 版本兼容性
创建方式 R2018a
兼容任何版本
平台兼容性
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

版本 已发布 发行说明
1.0.2

Update code.
1.0.1

Modify description.
1.0.0