中文说明：粒子群优化（PSO）是一种基于种群的随机优化算法
English Description：
Particle swarm optimization (PSO) is a population based stochastic optimization technique developed by Dr. Eberhart and Dr. Kennedy in 1995, inspired by social behavior of bird flocking or fish schooling. Particle swarm optimization or PSO is a general purpose optimization algorithm of which the underlying idea is the following: a swarm of particles moves around in the search space and the movements of the individual particles are influenced by the improvements discovered by the others in the swarm. As the optimization progresses, the optimum will be discovered.