ga.asv

matlab源码

%GA(Generic Algorithm) to Optimize Initial Parameters of RBF Approaching

clear all
close all

G = 150;
Size = 30;
CodeL = 10;

for i = 1:3
    MinX(i) = 0.1*ones(1);
    MaxX(i) = 3*ones(1);
end
for i = 4:1:9
    MinX(i) = -3*ones(1);
    MaxX(i) = 3*ones(1);
end
for i = 10:1:12
    MinX(i) = -ones(1);
    MaxX(i) = ones(1);
end

E = round(rand(Size,12*CodeL));  %Initial Code!

BsJ = 0;

for kg = 1:1:G
    time(kg) = kg;
    
    for s = 1:1:Size
        m = E(s,:);
        
        for j = 1:1:12
            y(j) = 0;
            
            mj = m((j-1)*CodeL + 1:1:j*CodeL;
            for i = 1:1:CodeL
                y(j) = y(j) + mj*2^(i-1);
            end
            f(s,j) = (MaxX(j) - MinX(j))*y(j)/1023 + MinX(j);
        end
        
        % ************Step 1:Evaluate BestJ *******************
        p = f(s,:);
        
        [p,BsJ] = chap10_3b(p,BsJ);
        
        BsJi(s) = BsJ;
    end
    
    [OderJi,IndexJi] = sort(BsJi);
    BestJ(kg) = OderJi(1);
    BJ = BestJ(kg);
    Ji = BsJi+1e-10;
    
    fi = 1./Ji;
    [Oderfi,Indexfi] = sort(fi);
    Bestfi = Oderfi(Size);
    BestS = E(Indexfi(Size),:);
    
    % ***************Step 2:Select and Reproduct Operation*********
    fi_sum = sum(fi);
    fi_Size = (Oderfi/fi_sum)*Size;
    
    fi_S = floor(fi_Size);
    
    kk = 1;
    for i = 1:1:Size
        for j = 1:1:fi_S(i)
            TempE(kk,:) = E(Indexfi(i),:);
            kk = kk + 1;
        end
    end
    
    % ****************Step 3:Crossover Operation*******************
    pc = 0.60;
    n = ceil(20*rand);
    for i = 1:2:(Size - 1)
        temp = rand;
        if pc>temp
            for j = n:1:20
                TempE(i,j) = E(i+1,j);
                TempE(i+1,j) = E(i,j);
            end
        end
        TempE(Size,:) = BestS;
        E = TempE;
        
     %*****************Step 4:Mutation Operation*********************
     pm = 0.001 - [1:1:Size]*(0.001)/Size
     for i = 1:1:Size
         for j = 1:1:12*CodeL
             temp = rand;
             if pm>temp
                 if TempE(i,j) == 0
                     TempE(i,j) = 1;
                 else
                     TempE(i,j) = 0;
                 end
             end
         end
     end
     
     %Guarantee TempE(Size,:) belong to the best individual
     TempE(Size,:) = BestS;
     E = TempE;
     %********************************************************************
 end
 
 Bestfi