Jellyfish Search Algorithm (JSA)

Versión 1.0.0 (1,82 KB) por praveen kumar
sphere function is used
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Actualizado 14 abr 2024

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The Jellyfish Search Algorithm (JSA) is a nature-inspired optimization algorithm inspired by the behavior of jellyfish in their search for food. It was proposed by Seyedali Mirjalili et al. in 2020. The algorithm utilizes the collective movement of jellyfish, characterized by a combination of random movement and environmental information, to search for optimal solutions.

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praveen kumar (2024). Jellyfish Search Algorithm (JSA) (https://www.mathworks.com/matlabcentral/fileexchange/163456-jellyfish-search-algorithm-jsa), MATLAB Central File Exchange. Recuperado .

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Se creó con R2022b
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JSA

Versión Publicado Notas de la versión
1.0.0