微粒群优化算法（PSO）是一种基于种群的随机优化技术，由Eberhart和Kennedy于1995年提出。微粒群算法模仿昆虫、兽群、鸟群和鱼群等的群集行为，这些群体按照一种合作的方式寻找食物，群体中的每个成员通过学习它自身的经验和其他成员的经验来不断改变其搜索模式。-Particle Swarm Optimization (PSO) is a population based stochastic optimization technique by Eberhart and Kennedy made in 1995. PSO algorithm to imitate insects, herds, birds and fish such as cluster behavior, these groups according to a collaborative approach in search of food, each member of the group through its own experience and learning experiences of other members to the changing The search mode.