说明：  该算法最初是受到飞鸟集群活动的规律性启发，进而利用群体智能建立的一个简化模型。粒子群算法在对动物集群活动行为观察基础上，利用群体中的个体对信息的共享使整个群体的运动在问题求解空间中产生从无序到有序的演化过程，从而获得最优解。
(The algorithm was initially inspired by the regularity of bird cluster activities, and then a simplified model was established by using swarm intelligence. On the basis of observing the behavior of animal clusters, particle swarm optimization (PSO) makes use of information sharing among individuals in a group to make the movement of the whole group evolve from disorder to order in the problem solving space, thus obtaining the optimal solution.)