crossover_adapt_pc.m

两种改进的遗传算法（自适应交叉概率的遗传算法

%自适应交叉ppc=pc*(fmax-f)/(fmax-faverage);
%遗传算法子程序
%Name:crossover_adapt_pc.m

function [newpop]=crossover_adapt_pc(pop,pc,fitvalue1)
fmax=max(fitvalue1);
faverage=sum(fitvalue1)/length(fitvalue1);


[px,py]=size(pop);
newpop=ones(size(pop));
for i=1:2:px-1;       %第1行和第2行，也就是说第1个个体和第2个个体进行交叉，依次类推

f=max(fitvalue1(i),fitvalue1(i+1));
ppc=pc*(fmax-f)/(fmax-faverage);
    
if(rand<ppc)
cpoint=round(rand*py);
newpop(i,:)=[pop(i,1:cpoint) pop(i+1,cpoint+1:py)];
newpop(i+1,:)=[pop(i+1,1:cpoint) pop(i,cpoint+1:py)];
else
newpop(i,:)=pop(i,:);
newpop(i+1,:)=pop(i+1,:);
end
end