Walrus Optimizer (WO)
Walrus Optimizer (WO) algorithm is a novel swarm-based metaheuristic algorithm for global optimization.
Walrus Optimizer (WO) algorithm is a novel swarm-based metaheuristic algorithm for global optimization. It is inspired by the behaviors of walruses that choose to migrate, breed, roost, feed, gather and escape by receiving key signals (danger signals and safety signals).
Main paper: Muxuan Han, Zunfeng Du, Kumfai Yuen, Haitao Zhu, Yancang Li, Qiuyu Yuan. Walrus Optimizer: A novel nature-inspired metaheuristic algorithm, Expert Systems with Applications, November 2023, 122413. https://doi.org/10.1016/j.eswa.2023.122413
If you don’t have access to the paper, just leave me a message at hanmuxuan@tju.edu.cn or dzf@tju.edu.cn and I will get back to you soon.
引用格式
Qiuyu Yuan (2026). Walrus Optimizer (WO) (https://ww2.mathworks.cn/matlabcentral/fileexchange/154702-walrus-optimizer-wo), MATLAB Central File Exchange. 检索时间: .
| 版本 | 已发布 | 发行说明 | Action |
|---|---|---|---|
| 1.0.0 |
