Starfish Optimization Algorithm (SFOA)
Version 1.0.1 (3.98 KB) by
Zhong Changting
Starfish Optimization Algorithm (SFOA) is a novel bio-inspired metaheuristic for solving optimization problems.
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, 2024, accepted. (DOI will be available after publication)
Cite As
Zhong Changting (2024). Starfish Optimization Algorithm (SFOA) (https://www.mathworks.com/matlabcentral/fileexchange/173735-starfish-optimization-algorithm-sfoa), MATLAB Central File Exchange. Retrieved .
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