Walrus Optimizer (WO)
Walrus Optimizer (WO) algorithm is a novel swarm-based metaheuristic algorithm for global optimization.
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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.
Cite As
Qiuyu Yuan (2026). Walrus Optimizer (WO) (https://www.mathworks.com/matlabcentral/fileexchange/154702-walrus-optimizer-wo), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (7.26 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
