GA中的排名选择?

我已经在GA中实现了Roulette wheel selection.

I have implemented Roulette wheel selection in GA.

   TotalFitness=sum(Fitness);
    ProbSelection=zeros(PopLength,1);
    CumProb=zeros(PopLength,1);

    for i=1:PopLength
        ProbSelection(i)=Fitness(i)/TotalFitness;
        if i==1
            CumProb(i)=ProbSelection(i);
        else
            CumProb(i)=CumProb(i-1)+ProbSelection(i);
        end
    end

    SelectInd=rand(PopLength,1);

    for i=1:PopLength
        flag=0;
        for j=1:PopLength
            if(CumProb(j)<SelectInd(i) && CumProb(j+1)>=SelectInd(i))
                SelectedPop(i,1:IndLength)=CurrentPop(j+1,1:IndLength);
                flag=1;
                break;
            end
        end
        if(flag==0)
            SelectedPop(i,1:IndLength)=CurrentPop(1,1:IndLength);
        end
    end

现在我正在尝试在GA中实现rank selection.我了解到:

Now i was trying to implement rank selection in GA. I learned that:

• 等级选择首先对种群进行排名，然后每个染色体都从该排名中获得适合度.

• Rank selection first ranks the population and then every chromosome receives fitness from this ranking.

最差的将具有适应性1，其次是最差的2以此类推，而最好的将具有适应性N(种群中的染色体数).

The worst will have fitness 1, second worst 2 etc. and the best will have fitness N (number of chromosomes in population).

我看到了这些 link1 和 link2 ，据我了解，这是:

I saw these link1 and link2 and what i understood is that:

1. 首先，我将对总体"的适应性"值进行排序.

1. First i will sort the Fitness value of the Population.

然后，如果人口总数"为10，则我将给人口选择概率为0.1,0.2,0.3，...，1.0.

Then if the Population number is 10 then i will give the probability of selection to the Population like 0.1,0.2,0.3,...,1.0 .

我的实现:

  NewFitness=sort(Fitness);
    NewPop=round(rand(PopLength,IndLength));

    for i=1:PopLength
        for j=1:PopLength
            if(NewFitness(i)==Fitness(j))
                NewPop(i,1:IndLength)=CurrentPop(j,1:IndLength);
                break;
            end
        end
    end
    CurrentPop=NewPop;

    ProbSelection=zeros(PopLength,1);
    CumProb=zeros(PopLength,1);

    for i=1:PopLength
        ProbSelection(i)=i/PopLength;
        if i==1
            CumProb(i)=ProbSelection(i);
        else
            CumProb(i)=CumProb(i-1)+ProbSelection(i);
        end
    end

    SelectInd=rand(PopLength,1);

    for i=1:PopLength
        flag=0;
        for j=1:PopLength
            if(CumProb(j)<SelectInd(i) && CumProb(j+1)>=SelectInd(i))
                SelectedPop(i,1:IndLength)=CurrentPop(j+1,1:IndLength);
                flag=1;
                break;
            end
        end
        if(flag==0)
            SelectedPop(i,1:IndLength)=CurrentPop(1,1:IndLength);
        end
    end

我是否了解算法错误??如果可以的话，谁能给我任何想法，如何修改我的轮盘赌来对选择进行排名?

Am i understanding the algo wrong?? If it is then can anyone give me any idea how to modify my roulette wheel to rank selection??