一种改进的随机微粒群算法（GCSPSO）

Based on the stochastic particle swarm optimization algorithm that guarantees global convergence,an improved stochastic particle swarm optimization algorithm named GCSPSO is proposed. During the evolution of SPSO ,the certain search method is imbedded ,the social information that is shared by every particle proliferate with distance. Thus , the convergence is speed up and the population diversity is kept.Through the experiments of two multimodal test functions,the result of simulation proves that the GCSPSO can not only significantly speed up the convergence,but also effectively solve the premature convergence problem.