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[endPop(a,<IMG alt=Smile src="view.files/smile.gif" width=15>
endPop(b,<IMG alt=Smile src="view.files/smile.gif" width=15>] =
feeval(xN,endPop(a,<IMG alt=Smile src="view.files/smile.gif"
width=15>,endPop(b,<IMG alt=Smile src="view.files/smile.gif" width=15>,
bounds,[gen xOverOps(i,<IMG alt=Smile src="view.files/smile.gif"
width=15>]);<BR>end<BR>end<BR>for i=1:numMuts<BR>mN=deblank(mutFNs(i,<IMG
alt=Smile src="view.files/smile.gif" width=15>);<BR>for
j=1:popSize<BR> endPop(j,<IMG alt=Smile
src="view.files/smile.gif" width=15> = feeval(mN,endPop(j,<IMG alt=Smile
src="view.files/smile.gif" width=15>,bounds,[gen mutOps(i,<IMG alt=Smile
src="view.files/smile.gif" width=15>]);<BR>
eeval(e1str);<BR>end<BR>end<BR>end<BR><BR>gen=gen+1;<BR>done=feeval(termFN,[gen
termOps],bPop,endPop); %<BR>startPop=endPop;
%更新種群<BR><BR>[beval,bindx] =
min(startPop(:,xZomeLength)); <BR>startPop(bindx,<IMG alt=Smile
src="view.files/smile.gif" width=15> = best;
<BR>end<BR><BR>[beval,bindx] =
max(startPop(:,xZomeLength));<BR>if display <BR>fprintf(1,'\n%d
%f\n',gen,beval); <BR>end<BR><BR>x=startPop(bindx,<IMG
alt=Smile src="view.files/smile.gif" width=15>;<BR>if opts(2)==0
%binary<BR>x=b2f(x,bounds,bits);<BR>bPop(bFoundIn,<IMG alt=Smile
src="view.files/smile.gif" width=15>=[gen
b2f(startPop(bindx,1:numVar),bounds,bits),
startPop(bindx,xZomeLength)];<BR>else<BR>bPop(bFoundIn,<IMG alt=Smile
src="view.files/smile.gif" width=15>=[gen startPop(bindx,<IMG alt=Smile
src="view.files/smile.gif" width=15>];<BR>end<BR>if
collectTrace<BR>traceInfo(gen,1)=gen;
<BR>traceInfo(gen,2)=startPop(bindx,xZomeLength);
%Best fittness<BR>traceInfo(gen,3)=mean(startPop(:,xZomeLength)); %Avg
fittness<BR>end </SPAN><BR><BR>
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<TBODY>
<TR class=head>
<TD align=middle width=150><FONT color=#ffffff><B>作者</B></FONT></TD>
<TD><FONT color=#ffffff><B>Re:【共享】遺傳算法的MATLAB6.5 源程序 [Re:wqjk]
</B></FONT></TD></TR>
<TR class=even>
<TD vAlign=top width=150><B>wqjk</B> <BR><IMG
src="view.files/face_byhtsai_amuro.gif" border=0> <BR><BR><BR>論壇游民<IMG
src="view.files/advu.gif" border=0> <BR><BR><B>發貼:</B> 2 <BR><B>技術分:</B> 0
<BR><B>積分:</B>3 <BR><IMG height=1 src="view.files/pixel.gif" width=150
border=0> </TD>
<TD vAlign=top width="100%"><IMG src="view.files/post.gif" align=absMiddle
border=0>于 2004-08-20 15:33 <A
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<HR color=#000000 noShade SIZE=1>
<SPAN class=javascript
id=text80817>%維數n=5<BR>%車間尺寸<BR>H=5;<BR>G=5;<BR>%x方向尺寸向量<BR>S=[3 1 1.5 1.5
0.8];<BR>smin=min(S)/2;<BR>%y方向尺寸向量<BR>L=[3 0.8 0.8 0.8
0.7];<BR>lmin=min(L)/2;<BR>%設備x,y在x方向上的最小間距<BR>dxijmin=0.8;<BR>%設備x,y在y方向上的最小間距<BR>dyijmin=0.5;<BR>%設置參數邊界<BR>bounds
=[smin H;smin H;smin H;smin H;smin H;<BR>lmin G;lmin G;lmin G;lmin G;lmin
G];<BR>% 生成初始種群，大小為10，且滿足約束條件<BR>flag=0;<BR>while
flag<11<BR>init=initializega(1,bounds,'f554');<BR>x(1:5)=init(1:5);<BR>y(1:5)=init(6:10);<BR><BR>for
i=1:5<BR>for
j=1:5<BR>delta1(i,j)=abs(x(i)-x(j))-(S(i)+S(j))/2-dxijmin;<BR>delta2(i,j)=abs(y(i)-y(j))-(L(i)+L(j))/2-dyijmin;
<BR>end<BR>end<BR><BR>%約束1<BR>delta11=min(min(delta1));<BR>%約束2<BR>delta22=min(min(delta2));<BR><BR>summ1=0;<BR>for
i=1:4<BR>summ1=summ1+abs(x(i)-x(i+1))+(S(i)+S(i+1))/2;<BR>end<BR>%約束3<BR>summ11=H-summ1;<BR><BR>summ2=0;<BR>for
i=1:4<BR>summ2=summ2+abs(y(i)-y(i+1))+(L(i)+L(i+1))/2;<BR>end<BR>%約束4<BR>summ22=G-summ2;<BR><BR>if
((delta11>=0)&(delta22>=0)&(summ11>=0)&(summ22>=0))<BR>flag=flag+1;<BR>initPop(flag,<IMG
alt=Smile src="view.files/smile.gif"
width=15>=init;<BR>else<BR>continue;<BR>end<BR>end<BR>% 調用遺傳函數<BR>[p
endPop bpop trace] = ga(bounds,'f554',[],initPop,[1e-5 1
1],'maxGenTerm',100,…<BR>'normGeomSelect',[0.08],['arithXover'], [20],
'nonUnifMutation',[2 1 3]); </SPAN><BR><BR>
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<TABLE cellSpacing=1 cellPadding=4 width="95%" bgColor=#000000 border=0>
<TBODY>
<TR class=head>
<TD align=middle width=150><FONT color=#ffffff><B>作者</B></FONT></TD>
<TD><FONT color=#ffffff><B>Re:【共享】遺傳算法的MATLAB6.5 源程序 [Re:wqjk]
</B></FONT></TD></TR>
<TR class=even>
<TD vAlign=top width=150><B>kingdom</B> <BR><IMG src="view.files/none.gif"
border=0> <BR><BR><BR>論壇游民<IMG src="view.files/advu.gif" border=0>
<BR><BR><B>發貼:</B> 12 <BR><B>技術分:</B> 0 <BR><B>積分:</B>65 <BR><IMG height=1
src="view.files/pixel.gif" width=150 border=0> </TD>
<TD vAlign=top width="100%"><IMG src="view.files/post.gif" align=absMiddle
border=0>于 2004-08-20 16:59 <A
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<SPAN class=javascript id=text80830>selectOps,xOverOps,mutOps什么意思,起什么作用?
</SPAN><BR><BR>
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<TBODY>
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<TD align=middle width=150><FONT color=#ffffff><B>作者</B></FONT></TD>
<TD><FONT color=#ffffff><B>Re:【共享】遺傳算法的MATLAB6.5 源程序 [Re:wqjk]
</B></FONT></TD></TR>
<TR class=even>
<TD vAlign=top width=150><B>dutxgx</B> <BR><IMG src="view.files/none.gif"
border=0> <BR><BR><BR>論壇游民<IMG src="view.files/advu.gif" border=0>
<BR><BR><B>發貼:</B> 70 <BR><B>技術分:</B> 4 <BR><B>積分:</B>151 <BR><IMG
height=1 src="view.files/pixel.gif" width=150 border=0> </TD>
<TD vAlign=top width="100%"><IMG src="view.files/post.gif" align=absMiddle
border=0>于 2004-08-20 21:46 <A
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<SPAN class=javascript id=text80908>這是《MATLAB6.5輔助優化計算與設計》中的程序
</SPAN><BR><BR>
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