sexual_reproduction.m

遗传算法

% Sexual_Reproduction function
clear;clc;
GAInitial;

fi(1,BOAT_NUM) = 0;
sumFitnessAfter30(1,MAX_GEN) = 0;
averageFitnessAfter30(1,MAX_GEN) = 0;

optialNum = 0;
 for q = 1:Run_Time
    GenerateBoat;
    for k = 1:MAX_GEN
        k
        As_Tournament_Best;
        E = max;
        As_Tournament_Best;
        F = max;
        Crossover;
        S_Mutation;
        As_Tournament_Worst;
        G = min;
        As_Tournament_Worst;
        H = min;
        
        for i = 1:ROWER
            boat(G,i) = boat(E,i);
        end
        for i = 1:ROWER
            boat(H,i) = boat(F,i);
        end
                
         for n = 1:BOAT_NUM
                fi(1,n) = Fitness(n,ROWER,boat);
                if fi(1,n) == 10000
                    optialNum = optialNum + 1;
                end
         end
           sumFitnessEachGeneration(1,k) = sum(fi);

    end

    for n = 1:MAX_GEN
        sumFitnessAfter30(1,n) = sumFitnessEachGeneration(1,n) + sumFitnessAfter30(1,n);
    end
end

for n = 1:MAX_GEN
    averageFitnessAfter30(1,n) = sumFitnessAfter30(1,n) / (BOAT_NUM * Run_Time);
end
b = 1:MAX_GEN;
figure,plot(b,averageFitnessAfter30);
xlabel('generation');
ylabel('the average fitness');

optialNum
clear n;
clear b;
clear m;