Greylag Goose Optimization (GGO) algorithm
Version 1.0.0 (1.85 KB) by
praveen kumar
sphere function is tested
The Greylag Goose Optimization (GGO) algorithm is a metaheuristic optimization algorithm inspired by the foraging behavior of the greylag goose. It was proposed by Ramalingam et al. in 2018. The algorithm mimics the movement patterns of the greylag goose during foraging, including exploration, exploitation, and flocking behavior.
Cite As
praveen kumar (2024). Greylag Goose Optimization (GGO) algorithm (https://www.mathworks.com/matlabcentral/fileexchange/163321-greylag-goose-optimization-ggo-algorithm), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2022b
Compatible with any release
Platform Compatibility
Windows macOS LinuxTags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
GGO
Version | Published | Release Notes | |
---|---|---|---|
1.0.0 |