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.
Cite As
praveen kumar (2024). Jellyfish Search Algorithm (JSA) (https://www.mathworks.com/matlabcentral/fileexchange/163456-jellyfish-search-algorithm-jsa), MATLAB Central File Exchange. Retrieved .
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JSA
| Version | Published | Release Notes | |
|---|---|---|---|
| 1.0.0 |
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