%進化策略算法?（μλ）-ES
%μ個父代進化產(chǎn)生λ個子代，新產(chǎn)生的λ個新個體中擇優(yōu)選擇μ個個體作為下一代群體
%f（x）=x1+x2+x3+x4+x5+x6
clear?all;
close?all;
clc
%變量初始化
populationSize?=?15;???????%種群大小及子代個數(shù)?比例1/7
childrenSize?=?100;
best=0;????????????????????%存放父代最優(yōu)值及所在列
bestIndex=1;
fitness?=?zeros（?childrenSize?13）;????%存放子代?其中（1:6）存放子代個體6個分量，（7:12）存放子代個體6個方差，（113）存放子代的適應度函數(shù)
population=zeros（populationSize?13）;??%存放父代
%?初始化父代
for?i?=?1?:?populationSize
????population（i?1）?=?round（rand?*?60）;
????population（i?2）?=?round（rand?*?70）;
????population（i?3）?=?round（rand?*?60）;
????population（i?4）?=?round（rand?*?50）;
????population（i?5）?=?round（rand?*?20）;
????population（i?6）?=?round（rand?*?30）;
????
????while?（population（i?1）+population（i?6））<60||（population（i?1）+population（i?2））<70||...
??????????（population（i

?屬性????????????大小?????日期????時間???名稱
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