中文说明：通过改进PSO算法的惯性权重和学习因子，惯性权重是调整全局搜索能力和局部搜索能力之间平衡的重要参数，选择合适的值有助于扩大搜索空间，提高找到潜在的全局最优解的概率；学习因子通过粒子本身经验和种群的社会经验对粒子运动产生影响，因此，选择合适的学习因子的取值也有利于提高PSO算法的性能。
English Description：
Through improved PSO algorithm of inertia weight and learning factor, inertia weight is adjustment global search capacity and local search capacity Zhijian balance of important parameter, select suitable of value helps expanded search space, improve found potential of global optimal solutions of probability; learning factor through particles itself experience and population of social experience on particles movement produced effects, so, select suitable of learning factor of take value also conducive to improve PSO algorithm of performance.