MATLAB绘制出权值wv和阀值bv确定的误差曲面

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				遗传算法求解TSP问题2007/06/02 23:35distTSP.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 gene pool
				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				     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
				    % 				    [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)				            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)				            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				
				[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 vector
				elseif m == 1, 
				    if n == 1, 
				       y=x; return
				    elseif n > 1,
				       col=0; % x is a row vector
				    end
				end
				
				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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