Starfish Optimization Algorithm (SFOA)

Starfish Optimization Algorithm (SFOA) is a novel bio-inspired metaheuristic for solving optimization problems.
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Updated 9 Oct 2024

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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, 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 .

MATLAB Release Compatibility
Created with R2024b
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.0.1

Update the source code

1.0.0