中文说明：粒子群优化算法源自对鸟群捕食行为的研究，最初由Kennedy和Eberhart提出，是一种通用的启发式搜索技术。一群鸟在区域中随机搜索食物，所有鸟知道自己当前位置离食物多远，那么搜索的最简单有效的策略就是搜寻目前离食物最近的鸟的周围区域。PSO 算法利用这种模型得到启示并应用于解决优化问题
English Description：
Particle swarm optimization (PSO) is a general heuristic search technique, which originated from the study of bird predation behavior and was first proposed by Kennedy and Eberhart. A group of birds randomly search for food in the region. All birds know how far away they are from the food, so the most simple and effective search strategy is to search the area around the nearest bird. PSO algorithm uses this model to get inspiration and apply to solve optimization problems