selection.m

此包含有遗传算法、粒子群算法、BP算法优化对角递归神经网络的MATLAB程序

function [evo_gen,best_indiv,max_fitness,weizhi]=selection(bin_gen,fitness)
popsize=length(fitness);
[max_fitness,weizhi]=max(fitness);
[min_fitness,index2]=min(fitness);
best_indiv=bin_gen(weizhi,:);
index=[1:popsize];
index(weizhi)=0;
index(index2)=0;
index=nonzeros(index);
evo_gen=bin_gen(index,:);
danyuan=ones(1,popsize);
danyuan(weizhi)=0;
danyuan(index2)=0;
fitness1=danyuan.*fitness;
fitness1=nonzeros(fitness1);
evo_fitness=fitness1;
evo_popsize=popsize-2;
ps=evo_fitness/sum(evo_fitness);%求选择概率p(x)=f(x)/sumf(x)
pscum=cumsum(ps);%求累计概率（详见遗传算法工具箱第17至21页）
r=rand(1,evo_popsize);
selected=sum(pscum*ones(1,evo_popsize)<ones(evo_popsize,1)*r)+1;
evo_gen=evo_gen(selected,:);