mygen.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 [sz_var,weizhi,z_fitness,z_indiv,endfitness,endsz_var]=Mygen(max_var,min_var,pc,pm,scale_var,popsize,N)

   [bin_gen,bits]=encoding(min_var,max_var,scale_var,popsize); %随机生成种群
   sz_var=zeros(N,size(bits,2)); %最高适应值对应的实值   
   z_fitness=zeros(1,N);%最高适应值
   z_indiv=zeros(N,sum(bits));%最优个体
   for i=1:N
   [var_gen,fitness]=decoding2(bin_gen,bits,min_var,max_var);
   [evo_gen,best_indiv,max_fitness,weizhi]=selection(bin_gen,fitness);
   [new_gencross]=crossover(evo_gen,pc);
   [new_genmut]=mutation(new_gencross,pm);
   gedai_gen=[new_genmut;best_indiv;best_indiv];%经选择、交叉、变异操作后得到的子代
   bin_gen=gedai_gen;
   z_indiv(i,:)=best_indiv;  %保存每代最优个体
   sz_var(i,:)=var_gen(weizhi,:);%保存每代的实值
   z_fitness(1,i)=max_fitness;%保存每代最大的适应值
   end
   %输出最后的最大适应值、个体对应的实值
   [endfitness,maxweizhi]=max(z_fitness);
   endsz_var(1,:)=sz_var(maxweizhi,:);