Stochastic Social Learning Optimization(SSLO)
Stochastic Social Learning Optimization: Combining Social Learning and Bucket Theory for Efficient Optimization
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Stochastic Social Learning Optimization (SSLO) is a metaheuristic algorithm that combines stochastic social learning and the Bucket Theory to prevent premature convergence, maintain population diversity, and effectively balance exploration and exploitation, achieving robust performance on complex optimization problems.
Related Paper :
Stochastic social learning optimization: Combining social learning and bucket theory for efficient optimization
Cite As
jiaojiao Ye (2026). Stochastic Social Learning Optimization(SSLO) (https://au.mathworks.com/matlabcentral/fileexchange/183532-stochastic-social-learning-optimization-sslo), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (1.95 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
