main.m

遗传优化算法

clear all;
num=10;
bounds=[1 35];
N=1000;
cp=0.25;
p=0.04;

L=bounds(2)-bounds(1);
p1=rand(1,num);
for i=1:num
    p2(i)=round(p1(i)*L);
    x1(i)= p2(i)+bounds(1);
end
 
n=0;
m=bounds(2);
while m>=1
    if mod(m,2)==1
    m=round(m/2)-1;
    else m=m/2;
    end
    n=n+1;
end

ymax(1)=min(x1);
x=tetotw (x1,n); 

k=2;
while k<=N
    [child,y]=select(x,bounds);
     if zlfun(y)<zlfun(ymax(k-1))
      i=round(rand*(num-1))+1;
      child(i)=ymax(k-1);
      y=ymax(k-1);
     end
    ymax(k)=y;
    if k==N;
        break;
    end
    q1=tetotw(child,n);
    q2=crossover(q1,cp);
    x=mutation(q2,p);
    k=k+1;
end
subplot(2,1,1)
plot(ymax);
axis ([1,N,bounds(1),bounds(2)]);
title( '极值变化曲线');
for i=1:N
    fx=zlfun(ymax(i));
end
subplot(2,1,2)
plot(1:N,fx);