经典粒子群算法，经过多次优化，演示出图， 待优化的目标函数：N

粒子数目：N

惯性权重：w

学习因子：c1,c2

最大迭代次数：M

问题的维数：D

目标函数取最小值时自变量值：xm

目标函数的最小值：fv-Classical particle swarm algorithm, optimized for many times, demonstrates plotting　objective function to be optimized: N　of the number of particles: N　inertia weight weight: w　learning factor: c1, c2　maximum number of iterations: M　dimension independent variables: D　objective function is to take the minimum value: xm minimum value of the objective function: fv