Stochastic Social Learning Optimization(SSLO)

Stochastic Social Learning Optimization: Combining Social Learning and Bucket Theory for Efficient Optimization

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

https://doi.org/10.1016/j.knosys.2026.115767