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The difference lies in the fact that CSO neither uses local best nor global best in updating the position of their particles, which makes the algorithm memory free. A pair wise competition is performed and only loser particles are updated after getting experience from the winner one.
sphere function is tested
Cite As
praveen kumar (2026). Competitive Swarm Optimizer (CSO) (https://www.mathworks.com/matlabcentral/fileexchange/162906-competitive-swarm-optimizer-cso), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (1.86 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
