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function s1=select_2d(X1,adapt_value1) 
     
    %Ñ¡ÔñËã×Ó 
     
    population=20; 
     
    total_adapt_value1=0; 
    for i=1:population 
        total_adapt_value1=total_adapt_value1+adapt_value1(i); 
    end 
    adapt_value1_new=adapt_value1/total_adapt_value1; 
         
    r=rand(1,population); 
     
    for i=1:population 
        temp=0; 
        for j=1:population 
            temp=temp+adapt_value1_new(j); 
            if temp>=r(i) 
                s1(i,:)=X1(j,:); 
                break; 
            end 
        end 
    end