Genetic Algorithm with array as decision variable

So I have this code. All I want to occur is the ga tool to change the elements of the x vector which starts out as [0,0,0,0,0] by changing each element to a one or leaving it a zero. When I run solver.m, it returns the same z value over and over so ga is not changing the decision variables like I want it to. I have been stuck on this and I cannot figure out what the issue is, I'm sure I'm just missing something small. Any help would be appreciated, thanks!

main_function.m
function z = main_function(x)
  n = 5;
  x = zeros(1,n);
  %very long code that returns rank deficiency
  z = rank_deficiency;
end

solver.m
clc
clear
FitnessFunction = @main_function;
n = 5;
LB = zeros(1,n);
UB = ones(1,n);
integers = linspace(1,n,n);
[x,fval] = ga(FitnessFunction,n,[],[],[],[],LB,UB,[],ints,[]);

Answer 1

[Alan Weiss]

I see at least two errors in your code:

1. You set x = zeros(1,n) within main_function. Don't do that! Allow your function to use the x that ga passes in.
2. You set integers = 1:n but then you pass an argument called ints

Alan Weiss

MATLAB mathematical toolbox documentation

[Scott Lowrie]

Yes, it works finally. Thanks Alan.