Starfish Optimization Algorithm (SFOA)
Starfish Optimization Algorithm (SFOA) is a novel bio-inspired metaheuristic for solving optimization problems.
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Starfish Optimization Algorithm (SFOA) is a novel bio-inspired metaheuristic for solving optimization problems, which simulates behaviors of starfish, including exploration, preying, and regeneration. The illustrative examples are provided in website.
Main paper: Changting Zhong, Gang Li, Zeng Meng, Haijiang Li, Ali Riza Yildiz, Seyedali Mirjalili. Starfish Optimization Algorithm (SFOA): A bio-inspired metaheuristic algorithm for global optimization compared with 100 optimizers. Neural Computing and Applications, 2025, 34: 3641-3683. DOI: 10.1007/s00521-024-10694-1
Cite As
Zhong Changting (2026). Starfish Optimization Algorithm (SFOA) (https://nl.mathworks.com/matlabcentral/fileexchange/173735-starfish-optimization-algorithm-sfoa), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.3 (4 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
