遗传的源文件
x=sj(:,1:2:8);x=x(:);y=sj(:,2:2:8);y=y(:);
sj=;
d1=;
sj0=;
%距离矩阵d
sj=sj0*pi/180;
d=zeros(102);
for i=1:101
for j=i+1:102
temp=cos(sj(i,1)-sj(j,1))*cos(sj(i,2))*cos(sj(j,2))+sin(sj(i,2))*sin(sj(j,2));
d(i,j)=6370*acos(temp);
end
end
d=d+d';L=102;w=50;dai=100;
%通过改良圈算法选取优良父代A
for k=1:w
c=randperm(100);
c1=;
flag=1;
while flag>0
flag=0;
for m=1:L-3
for n=m+2:L-1
if d(c1(m),c1(n))+d(c1(m+1),c1(n+1))<d(c1(m),c1(m+1))+d(c1(n),c1(n+1))
flag=1;
c1(m+1:n)=c1(n:-1:m+1);
end
end
end
end
J(k,c1)=1:102;
end
J=J/102;
J(:,1)=0;J(:,102)=1;
rand('state',sum(clock));
%遗传算法实现过程
A=J;
for k=1:dai %产生0～1 间随机数列进行编码
B=A;
c=randperm(w);
%交配产生子代B
for i=1:2:w
F=2+floor(100*rand(1));
temp=B(c(i),F:102);
B(c(i),F:102)=B(c(i+1),F:102);
B(c(i+1),F:102)=temp;
end
%变异产生子代C
by=find(rand(1,w)<0.1);
if length(by)==0
by=floor(w*rand(1))+1;
end
C=A(by,:);
L3=length(by);
for j=1:L3
bw=2+floor(100*rand(1,3));
bw=sort(bw);
C(j,:)=C(j,);
end
G=;
TL=size(G,1);
%在父代和子代中选择优良品种作为新的父代
=sort(G,2);temp(1:TL)=0;
for j=1:TL
for i=1:101
temp(j)=temp(j)+d(IX(j,i),IX(j,i+1));
end
end
=sort(temp);
A=G(IZ(1:w),:);
end
path=IX(IZ(1),:)
long=DZ(1)
xx=sj0(path,1);yy=sj0(path,2);
plot(xx,yy,'-o') 有一部分代码变成表情了~，，不过还是支持一下~ 很可爱的源代码 怎么会这样滴呢？？ 太好了太好了太好了太好了太好了太好了
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