Starfish Optimization Algorithm (SFOA)

Versión 1.0.1 (3,98 KB) por Zhong Changting
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, 2024, accepted. (DOI will be available after publication)

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Zhong Changting (2024). Starfish Optimization Algorithm (SFOA) (https://www.mathworks.com/matlabcentral/fileexchange/173735-starfish-optimization-algorithm-sfoa), MATLAB Central File Exchange. Recuperado .

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1.0.1

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1.0.0