说明：  PSO是粒子群优化算法（——Particle Swarm Optimization）的英文缩写，是一种基于种群的随机优化技术，由Eberhart和Kennedy于1995年提出。粒子群算法模仿昆虫、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。
(PSO, abbreviated as Particle Swarm Optimization, is a population-based stochastic optimization technique proposed by Eberhart and Kennedy in 1995. Particle swarm optimization (PSO) imitates the clustering behavior of insects, herds of animals, birds and fish. These groups search for food in a cooperative way. Each member of the group constantly changes its search pattern by learning its own experience and that of other members.)