i am using the same process but not genetic algorithm , i am using differential evolution algorithm written in Matlab and this is my code in differential evolution please tell me if i have any mistakes in DE implementation i am beginner in this part :

function [working_distance_after_50_itr] = working_distance_Matrix()

n = 5; %number of species

u = importdata('original distance.txt');

d = u(~~tril(u));

t = importdata('initial working distance.txt'); x = t(~~tril(t));

itr=input('Enter no. of generations: ');

F = 0.01; %Mutation factor

for j = 1 : itr

for i = 1 : length(x)

    %y = x;

    b = x(i);

    s = setdiff(x,b);

    r1 = s(randi(numel(s),1,1));

    b = [x(i),r1];

    s = setdiff(x,b);

    r2 = s(randi(numel(s),1,1));

    %b = [x(i),r1,r2];

    %s = setdiff(x,b);

    %r3 = s(randi(numel(s),1,1));

    c(i) = x(i) + (F * (r1 - r2)); %Mutant vector

end        





if fitness(c)>= fitness(x)    %selection step

    x = c;

end

end

g = tril(ones(n),-1);

g(~~g)=x;

working_distance_after_50_itr =tril(g,-1)+tril(g)';

function fitness_value = fitness(N)%fitness function

for k = 1 : length(N)

r(k)=((N(k)- d(k))/d(k))^2;

end

z = sum(r);

a = (n*(n-1))/2;

h = 1/(a-1);

fitness_value = 1/(100 * sqrt(h*z));

end

end