中文说明：
粒子群算法，用于聚类.粒子群在迭代进行的过程中有可能出现早熟收敛
的问题而陷入局部最优解,因此文中在 PSO 算法部 分,设置两个变量对每个粒子和粒子群的状态进行实 时地监控,以便当检测到粒子或粒子群出现早熟收敛 现象时,能及时地对其进行变异操作,增加粒子的多样 性,使其跳出局部极值的束缚,在多维解空间中开始新 的搜索
English Description：
Particle swarm algorithm for clustering. Particle swarm in the process of iteration is likely the problem of premature convergence _ fall into local optimal solution, so this paper in the PSO algorithm part, set up two variables for each particle and the particle swarm to solid state monitoring, so that when the detected particles or particle swarm appear premature convergence phenomenon, can in a timely manner to the mutation operation, increases the particle's diverse sex, make it out of the constraints of local extremum, start a new search in the multi-dimensional solution space