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并行化是提高大规模复杂问题求解效率的有效手段.该文在分析了粒子群算法(Particle Swarm Optimization,PSO)的并行性后,给出了PSO算法的并行实现,并将该并行化的算法在并行平台??联想深腾1800机群系统上进行测试.结果表明PSO算法的并行实现,显著地提高了算法的效率.“,”The parallelization is an effective way to improve the efficiency of large-scale complex problems solution. After analyzing the parallel property of PSO (Particle Swarm Optimization) algorithm,the paper presents the parallel actualization of PSO algorithm. And this parallelized algorithm is tested in the parallel context?computers cluster system of Lenovo DeepComp 1800. The results indicate that the parallel actualization of PSO algorithm improves its efficiency significantly.