参数设置

w=0.9 权值 将影响PSO 的全局与局部搜优能力， 值较大，全局搜优能力强，局部搜优能力弱 反之，则局部搜优能力增强，而全局搜优能力减弱。

c1=0.1 加速度，影响收敛速度

c2=0.1

dim=6 6维，表示企业数量

swarmsize=100 粒子群规模，表示有100个解的空间

maxiter=200 最大循环次数，影响时间

minfit=0.001 最小适应值

vmax=0.01

vmin=-0.01

ub=[0.2,0.2,0.2,0.2,0.2,0.2] 解向量的最大限制

lb=[0.01,0.01,0.01,0.01,0.01,0.01] 解向量的最小限制-　 Parameter settings

w = 0.9　 weight PSO will affect global and local search optimization capability, greater value, and strong global search optimization capability, local search optimization weak　on the contrary, the ability to enhance the local search optimization, and global search optimization diminished capacity.

c1 = 0.1　 acceleration affects the convergence speed

c2 = 0.1

dim = 6　 6-dimensional, indicating the number of enterprises

swarmsize = 100　 particle population size, it indicates there is room for 100 Solutions

maxiter = 200　 maximum number of iterations, the impact time

minfit = 0.001　 minimum fitness

vmax = 0.01

vmin =-0.01

ub = [0.2,0.2,0.2,0.2,0.2,0.2]　the maximum limit　solution vectors

lb = [0.01,0.01,0.01,0.01,0.01,0.01]　the minimum limit　solution vectors