Parallel Particle Swarm Optimization Based on Ring Structure Model with Buffer Storage
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A novel algorithm of parallel particle swarm optimization based on ring structure model with Buffer storage is designed and implemented.It is enlightened parallel genetic algorithm.This algorithm uses unilateral-ring structure,which can assure good particles diffuse between sub population and rich the diversity of swarm.The experimental results show that not only the solving efficiency is raised but also the restraining premature convergence is improved.Comparing with standard particle swarm optimization(PSO),the performances of the proposed algorithm are greatly improved.