Jellyfish Search Algorithm (JSA)

Version 1.0.0 (1.82 KB) by praveen kumar
sphere function is used
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Updated 14 Apr 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.

Cite As

praveen kumar (2026). Jellyfish Search Algorithm (JSA) (https://uk.mathworks.com/matlabcentral/fileexchange/163456-jellyfish-search-algorithm-jsa), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2022b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0