The Eel and Grouper Optimizer

EGO is a new algorithm for solving single-objective optimization problems
259 Downloads
Updated 20 Jun 2024

View License

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.

Cite As

Ali Mohammadzadeh (2024). The Eel and Grouper Optimizer (https://www.mathworks.com/matlabcentral/fileexchange/164316-the-eel-and-grouper-optimizer), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2024a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired by: The Whale Optimization Algorithm

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Published Release Notes
1.0.4

Update download link

1.0.3

Last Version

1.0.2

Last Version

1.0.1

Last Version

1.0.0