The Eel and Grouper Optimizer

Version 1.0.4 (12,7 KB) von Ali Mohammadzadeh
EGO is a new algorithm for solving single-objective optimization problems
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The Eel and Grouper Optimizer (EGO) is a new optimization technique for solving optimization problems.The EGO algorithm is inspired by the symbiotic interaction and foraging strategy of eels and groupers in marine ecosystems. The algorithm's efficacy is demonstrated through rigorous evaluation using nineteen benchmark functions, showcasing its superior performance compared to established meta-heuristic algorithms.
This is the source codes of the paper:
A. Mohammadzadeh, S. Mirjalili, Eel and Grouper Optimizer: A Nature-inspired Optimization Algorithm, Cluster Computing , in press, 2024
DOI: https://doi.org/10.1007/s10586-024-04545-w
Link: https://link.springer.com/article/10.1007/s10586-024-04545-w
If you have no access to the paper, please drop me an email at Mahammadzadeh@gmail.com, or ali.mohammadzadeh@iau.ac.ir and I will send you the paper.

Zitieren als

Ali Mohammadzadeh (2026). The Eel and Grouper Optimizer (https://de.mathworks.com/matlabcentral/fileexchange/164316-the-eel-and-grouper-optimizer), MATLAB Central File Exchange. Abgerufen.

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Inspiriert von: The Whale Optimization Algorithm

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