文件名称:PSO
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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
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
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PSO.m