qga_image_opt.m

量子遗传算法用于图象处理 量子遗传算法用于图象处理

function [alpha,beta]=qga_image_opt(g_cameraman,row,colume,num_pixel)
num_of_singles=10;
num_of_chrom=2;
num_of_genes=10;
flag_eq_prob=0;
loop=5;
fitness_ever_best=zeros(1,loop);
alpha_array=zeros(1,loop);
beta_array=zeros(1,loop);
pop=init_qga(flag_eq_prob,num_of_singles,num_of_chrom,num_of_genes);
for iteration=1:loop
    r=observe(pop);
    [best_index,best_fitness,best_alpha,best_beta]=evaluate_image_opt(r,g_cameraman,row,colume,num_pixel,num_of_singles,num_of_chrom,num_of_genes);
    fitness_ever_best(iteration)=best_fitness;
    alpha_array(iteration)=best_alpha;
    beta_array(iteration)=best_beta;
    pop=upgate(pop,num_of_singles,num_of_chrom,num_of_genes,best_index,iteration);
end
alpha_array
beta_array
fitness_ever_best
[fitness_best_best k]=max(fitness_ever_best);
alpha=alpha_array(k);
beta=beta_array(k);