test_2.m

来自「用于matlab的遗传算法工具箱（里面含有遗传算法所有的操作」· M 代码 · 共 41 行

function test_2()
i=0;
a=-0.5:0.02:0.5;
for x=a
    i=i+1; 
    j=0;
    for y=a
       j=j+1;
       sol=[x y];
       numv = size(sol,2);
       x=sol(1:numv);
       d0=[1 1000 10 100 1 10 100 1000 1 10];
       d=d0(1:numv);
       c=0.15;
       s=2*ones(1,numv);
       t=0.05*ones(1,numv);
       bk = s.*(round(x./s));
       dev= (abs(bk-x)<t) & (bk~=0);
       z=c*((bk+sign(bk).*t).^2).*d;
       y=x.^2.*d;
       z(i,j) = sum((dev.*z) + ((~dev).*y));
   end
end
plot(z(:,1));
plot(z(1,:));
mesh(a,a,z);
view(30,60);
grid;
bounds = ones(4,1)*[-10000 10000];
%[x,endPop,bestSols,trace]=ga(bounds,'coranaMin');
evalFN='coranaMin';
evalOps=[];
opts = [1e-6 1 0];
e1str=['x=c1; c1(xZomeLength)=', evalFN ';'];  
e2str=['x=c2; c2(xZomeLength)=', evalFN ';']; 
%%%%%%%%%%%%%%%%%%
plot(trace(:,1),trace(:,3),'y-')
hold on
plot(trace(:,1),trace(:,2),'r-')
xlabel('Generation'); ylabel('Fittness');