Gold Rush Optimizer (GRO)
Gold Rush Optimizer (GRO) is a new population-based metaheuristic algorithm.
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Gold Rush Optimizer (GRO) is inspired by the gold rush and simulates gold prospecting by gold seekers to solve optimization problems.
Main Article: K. Zolfi. Gold rush optimizer: A new population-based metaheuristic algorithm. Operations Research and Decisions 2023: 33(1), 113-150. DOI 10.37190/ord230108
Cite As
kamran zolfi (2026). Gold Rush Optimizer (GRO) (https://www.mathworks.com/matlabcentral/fileexchange/128018-gold-rush-optimizer-gro), MATLAB Central File Exchange. Retrieved .
K. Zolfi. Gold rush optimizer: A new population-based metaheuristic algorithm. Operations Research and Decisions 2023: 33(1), 113-150. DOI 10.37190/ord230108
General Information
- Version 1.0.0 (4.85 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
