2014-11-23 21:29:02 +08:00
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clear
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clc
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data=dlmread('<EFBFBD><EFBFBD><EFBFBD><EFBFBD>.csv');
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%% <EFBFBD><EFBFBD><EFBFBD>ݴ<EFBFBD><EFBFBD><EFBFBD>
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%<EFBFBD><EFBFBD>ʱ<EFBFBD><EFBFBD>T<EFBFBD><EFBFBD>ÿ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ó<EFBFBD><EFBFBD><EFBFBD>
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snWind=data(:,1:3:end);
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snSolar=data(:,2:3:end);
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snP=data(:,3:3:end);
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2014-11-23 22:32:38 +08:00
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snP(snP==-100)=1;
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2014-11-23 21:29:02 +08:00
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%% <EFBFBD><EFBFBD>ʼ<EFBFBD><EFBFBD>
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% <EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>һ<EFBFBD>³<EFBFBD>ʼ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
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randSNCount=100; %ҪС<EFBFBD><EFBFBD>16^288
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selectedIndex=round(1+(16-1)*rand(randSNCount,96));
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selectedWind=zeros(randSNCount,96);
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selectedSolar=zeros(randSNCount,96);
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selectedP=zeros(randSNCount,96);
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for I=1:randSNCount
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onesIndex=sparse(selectedIndex(I,:),1:96,1,16,96);
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selectedWind(I,:)=sum(snWind.*onesIndex);
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selectedSolar(I,:)=sum(snSolar.*onesIndex);
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selectedP(I,:)=sum(snP.*onesIndex);
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2014-11-23 22:32:38 +08:00
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end
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candidateP=prod(selectedP,2);
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candidateP=candidateP./sum(candidateP);
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%<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ʶȺ<EFBFBD><EFBFBD><EFBFBD>
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fitness=0;
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for I=1:randSNCount
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for J=1:randSNCount
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fitness=fitness+candidateP(I)*( abs( sum(selectedWind(I,:)-selectedWind(J,:)) )+abs( sum(selectedSolar(I)-selectedSolar(J)) ) );
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end
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end
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fitness=fitness/randSNCount/randSNCount;
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%<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
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changeN=5;%ѡ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ʱ<EFBFBD>ν<EFBFBD><EFBFBD><EFBFBD><EFBFBD>ġ<EFBFBD>
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changedIndex=1:96;
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changedIndex=changedIndex( round(1+(96-1)*rand(changeN,1)) );
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selectedIndex(:,changedIndex)=round(1+(16-1)*rand(randSNCount,changeN));%<EFBFBD><EFBFBD><EFBFBD>Ǹı<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ֵ
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