wh_zj1.m

遗传算法的matlab程序库 别人的辛勤劳动

function y=wh_ZJ(Initial_Group,G_Sample_Sum,G_Sample_Sum_Dimension)
%G_Sample_Sum群体中个体总数
for i=1:G_Sample_Sum
    ZJ_Sample(i)=i;%生成杂交采样数组
end

Count=G_Sample_Sum*2;

for i=1:Count
    while(1)%A------产生杂交的初始条件
        ZJ_Sample_Rand1=round(G_Sample_Sum*rand(1));%ZJ_Sample_Rand1,ZJ_Sample_Rand2产生变异个体元素的位置
        ZJ_Sample_Rand2=round(G_Sample_Sum*rand(1));
        ZJ_Position=round(G_Sample_Sum_Dimension*rand(1));
        if and(and((ZJ_Sample_Rand1~=0),(ZJ_Sample_Rand2~=0)),and((ZJ_Position~=0),(ZJ_Sample_Rand1~=ZJ_Sample_Rand2)))
            break;
        end
    end%A---while
    
    if and((ZJ_Sample(ZJ_Sample_Rand1)~=0),(ZJ_Sample(ZJ_Sample_Rand2)~=0))    
        for i=1:ZJ_Position
            T=Initial_Group(ZJ_Sample(ZJ_Sample_Rand1),ZJ_Position);
            Initial_Group(ZJ_Sample(ZJ_Sample_Rand1),ZJ_Position)=Initial_Group(ZJ_Sample(ZJ_Sample_Rand2),ZJ_Position);
            Initial_Group(ZJ_Sample(ZJ_Sample_Rand2),ZJ_Position)=T;
        end%i
        ZJ_Sample(ZJ_Sample_Rand1)=0;ZJ_Sample(ZJ_Sample_Rand2)=0;
    end
end
y=Initial_Group;