基于生长法的路线最优化
于 2022-03-12 发布
文件大小:11.52 kB
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代码说明：
for j=1:10000 R=rand(10000,1); a(j)=R(j); g1=((A(1,1)-x(1,1))^2+(A(1,2)-x(1,2))^2)^0.5+((A(1,1)-x(2,1))^2+(A(1,2)-x(2,2))^2)^0.5+((A(1,1)-A(2,1))^ 2+(A(1,2)-A(2,2))^2)^0.5; g2=((A(2,1)-A(3,1))^2+(A(2,2)-A(3,2))^2)^0.5+((A(2,1)-A(1,1))^2+(A(2,2)-A(1,2))^2)^0.5; g3=((A(3,1)-x(4,1))^2+(A(3,2)-x(4,2))^2)^0.5+((A(3,1)-x(3,1))^2+(A(3,2)-x(3,2))^2)^0.5+((A(3,1)-A(2,1))^ 2+(A(3,2)-A(2,2))^2)^0.5; g4=((A(4,1)-x(4,1))^2+(A(4,2)-x(4,2))^2)^0.5+((A(4,1)-A(6,1))^2+(A(4,2)-A(6,2))^2)^0.5+((A(4,1)-A(5,1))
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