You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
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 (2026). Greylag Goose Optimization (GGO) algorithm (https://in.mathworks.com/matlabcentral/fileexchange/163321-greylag-goose-optimization-ggo-algorithm), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (1.85 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
