查看: 7052|回复: 2

[问题求助] 一段遗传算法代码（求助大虾！！！）

字体大小: 正常放大

55 主题	9 听众	957 积分

升级 89.25%

TA的每日心情

	开心 2013-11-20 13:38

签到天数: 20 天

[LV.4]偶尔看看III

群组: 数学建模培训课堂1

群组: C题讨论群

电梯直达

1^#

发表于 2010-5-7 23:00 |只看该作者 |倒序浏览

|招呼Ta 关注Ta |邮箱已经成功绑定

以下是遗传算法解决TSP问题的的代码，可是运行时报错了，请知道的大虾告诉以下报错的原因啊！！！
distTSP.txt
0 6 18 4 8
7 0 17 3 7
4 4 0 4 5
20 19 24 0 22
8 8 16 6 0
%GATSP.m
function gatsp1()
clear;
load distTSP.txt;
distance=distTSP;
N=5;
ngen=100;
ngpool=10;
%ngen=input('# of generations to evolve = ');
%ngpool=input('# of chromosoms in the gene pool = '); % size of genepool
gpool=zeros(ngpool,N+1); % gene pool
for i=1:ngpool, % intialize gene pool
gpool(i,

=[1 randomize([2:N]')' 1];
for j=1:i-1
while gpool(i,

==gpool(j,

gpool(i,

=[1 randomize([2:N]')' 1];
            end
         end
      end
costmin=100000;
tourmin=zeros(1,N);
   cost=zeros(1,ngpool);
increase=1;resultincrease=1;
   for i=1:ngpool,
      cost(i)=sum(diag(distance(gpool(i,

',rshift(gpool(i,

)')));
end
% record current best solution
[costmin,idx]=min(cost);
tourmin=gpool(idx,

;
disp([num2str(increase) 'minmum trip length = ' num2str(costmin)])
costminold2=200000;costminold1=150000;resultcost=100000;
tourminold2=zeros(1,N);
tourminold1=zeros(1,N);
resulttour=zeros(1,N);
while (abs(costminold2-costminold1) ;100)&(abs(costminold1-costmin) ;100)&(increase ;500)
costminold2=costminold1; tourminold2=tourminold1;
costminold1=costmin;tourminold1=tourmin;
increase=increase+1;
if resultcost>costmin
resultcost=costmin;
resulttour=tourmin;
resultincrease=increase-1;
end
for i=1:ngpool,
cost(i)=sum(diag(distance(gpool(i,

',rshift(gpool(i,

)')));
end
% record current best solution
[costmin,idx]=min(cost);
tourmin=gpool(idx,

;
%==============
% copy gens in th gpool according to the probility ratio
% >1.1 copy twice
% >=0.9 copy once
% ;0.9 remove
[csort,ridx]=sort(cost);
% sort from small to big.
csum=sum(csort);
caverage=csum/ngpool;
cprobilities=caverage./csort;
copynumbers=0;removenumbers=0;
for i=1:ngpool,
if cprobilities(i) >1.1
         copynumbers=copynumbers+1;
                  end
         if cprobilities(i) <0.9
               removenumbers=removenumbers+1;
                        end
            end
copygpool=min(copynumbers,removenumbers);
            for i=1:copygpool
               for j=ngpool:-1:2*i+2 gpool(j,

=gpool(j-1,

;
end
gpool(2*i+1,

=gpool(i,

;
      end
               if copygpool==0
                     gpool(ngpool,

=gpool(1,

;
end
%=========
%when genaration is more than 50,or the patterns in a couple are too close,do mutation
for i=1:ngpool/2
%
sameidx=[gpool(2*i-1,

==gpool(2*i,

];
diffidx=find(sameidx==0);
if length(diffidx)<=2
gpool(2*i,

=[1 randomize([2:12]')' 1];
                        end
                           end
%===========
%cross gens in couples
         for i=1:ngpool/2
               [gpool(2*i-1,

,gpool(2*i,

]=crossgens(gpool(2*i-1,

,gpool(2*i,

);
   end
      for i=1:ngpool,
            cost(i)=sum(diag(distance(gpool(i,

',rshift(gpool(i,

)')));
end
% record current best solution
[costmin,idx]=min(cost);
tourmin=gpool(idx,

;
disp([num2str(increase) 'minmum trip length = ' num2str(costmin)])
end
disp(['cost function evaluation: ' int2str(increase) ' times!'])
disp(['n:' int2str(resultincrease)])
disp(['minmum trip length = ' num2str(resultcost)])
disp('optimum tour = ')
disp(num2str(resulttour))
%====================================================
function B=randomize(A,rowcol)
% Usage: B=randomize(A,rowcol)
% randomize row orders or column orders of A matrix
% rowcol: if =0 or omitted, row order (default)
% if = 1, column order
rand('state',sum(100*clock))
if nargin == 1,
      rowcol=0;
end
      if rowcol==0,
            [m,n]=size(A);
            p=rand(m,1);
            [p1,I]=sort(p);
            B=A(I,

;
elseif rowcol==1,
      Ap=A';
      [m,n]=size(Ap);
      p=rand(m,1);
      [p1,I]=sort(p);
      B=Ap(I,

';
end
%=====================================================
function y=rshift(x,dir)
% Usage: y=rshift(x,dir)
% rotate x vector to right (down) by 1 if dir = 0 (default)
% or rotate x to left (up) by 1 if dir = 1
if nargin ;2, dir=0; end
[m,n]=size(x);
if m>1,
if n == 1,
col=1;
elseif n>1,
error('x must be a vector! break');
end % x is a column vectorelseif m == 1,
if n == 1, y=x;
return
elseif n>1,
   col=0; % x is a row vector endend
if dir==1, % rotate left or up
   if col==0, % row vector, rotate left
         y = [x(2:n) x(1)];
   elseif col==1,
         y = [x(2:n); x(1)]; % rotate up
end
elseif dir==0, % default rotate right or down
            if col==0,
                  y = [x(n) x(1:n-1)];
         elseif col==1 % column vector
                     y = [x(n); x(1:n-1)];
               end
         end
%==================================================
function [L1,L2]=crossgens(X1,X2)
% Usage:[L1,L2]=crossgens(X1,X2)
s=randomize([2:12]')';
n1=min(s(1),s(11));n2=max(s(1),s(11));
X3=X1;X4=X2;
for i=n1:n2,
            for j=1:13,
                  if X2(i)==X3(j),
                        X3(j)=0;
                           end
               if X1(i)==X4(j),                         X4(j)=0;
            end
         end
      end
j=13;k=13;
for i=12:-1:2,
      if X3(i)~=0,
            j=j-1;
               t=X3(j);X3(j)=X3(i);X3(i)=t;
            end
                  if X4(i)~=0,
                        k=k-1;
                  t=X4(k);X4(k)=X4(i);X4(i)=t;
               end
            end
         for i=n1:n2
            X3(2+i-n1)=X2(i);
            X4(2+i-n1)=X1(i);
         end
L1=X3;L2=X4;
%=======================

zan