说明：  粒子群算法（也称粒子群优化算法（particle swarm optimization, PSO）），模拟鸟群随机搜索食物的行为。粒子群算法中，每个优化问题的潜在解都是搜索空间中的一只鸟，叫做“粒子”。所有的粒子都有一个由被优化的函数决定的适应值（fitness value），每个粒子还有一个速度决定它们“飞行”的方向和距离。
(Particle swarm optimization (PSO), also known as particle swarm optimization (PSO), simulates the behavior of birds randomly searching for food. In particle swarm optimization, the potential solution of each optimization problem is a bird in the search space, called "particle". All particles have a fitness value determined by the optimized function, and each particle has a velocity that determines their "flying" direction and distance.)