function?[best_indexbest_fitnessbest_alphabest_beta]=evaluate_image_opt（rg_cameramanrowcolumenum_pixelnum_of_singlesnum_of_chromnum_of_genes）
dec=zeros（1num_of_singles*num_of_chrom）;
flt=zeros（1num_of_singles*num_of_chrom）;
for?i=1:num_of_singles
????for?j=1:num_of_chrom
????????curr_chrom=r（（2*i-3+j）*num_of_genes+1:（2*i-2+j）*num_of_genes）;
????????for?k=1:num_of_genes
????????????dec（i*2+j-2）=dec（i*2+j-2）+curr_chrom（k）*2^（num_of_genes-k）;
????????end
????end
end
flt=round（10*（dec/1024））;
fitness=zeros（1num_of_singles）;
for?k=1:num_of_singles
????alpha=flt（k*2-1）;
????beta=flt（k*2）;
????if?alpha==0
???????alpha=1;
????end
????if?beta==0
????????beta=1;
????end
????gc_cameraman=zeros（rowcolume）;
????syms?t;
????for?i=1:row
????????for?j=1:colume
????????????gc_cameraman（ij）=double（int（t^（alpha-1）*（1-t）^（beta-1）t0g_cameraman（ij））/int（t^（alpha-1）*（1-t）^（beta-1）t01））;
????????end
????end
????fitness（k）=sum（sum（gc_cameraman.*gc_cameraman））/num_pixel-（sum（sum（gc_cameraman））/num_pixel）^2;
end
[best_fitness?best_index]=max（fitness）;
best_alpha=flt（best_index*2-1）;
best_beta=flt（best_index*2）;

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件????????765??2007-05-23?08:14??量子遺傳算法用于圖象處理\image_optimization.m

?????文件????????759??2007-05-16?20:35??量子遺傳算法用于圖象處理\init_qga.m

?????文件????????153??2007-05-21?10:51??量子遺傳算法用于圖象處理\observe.m

?????文件????????851??2007-05-23?08:01??量子遺傳算法用于圖象處理\qga_image_opt.m

?????文件????????788??2007-05-16?20:19??量子遺傳算法用于圖象處理\upgate.m

?????文件???????1156??2007-05-23?08:01??量子遺傳算法用于圖象處理\evaluate_image_opt.m

?????文件????????441??2007-05-16?19:36??量子遺傳算法用于圖象處理\f.m

?????目錄??????????0??2007-09-02?10:33??量子遺傳算法用于圖象處理

-----------?---------??----------?-----??----

?????????????????5131????????????????????9