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我运行的TSP算法,总是出现??? Error: File: D:\MATLAB7\work\gatsp1.m Line: 163 Column: 1
Illegal use of reserved keyword "function".的错误,不知道怎么改的,谢谢拉
源代码
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;
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