Objective function of GA

I want to do Genetic algorithm program in MATLAB. But, I'm unable to solve the objective function

My objective function is sumzfinal of this following code.

ii=M;
jj=P;
ll=C;

t = [0.0 0.5 0.0 0.0 5.0 0.0 1.5
    2.5 2.0 0.0 4.5 0.0 1.5 0.0
    0.0 2.5 0.0 0.0 3.5 0.5 0.5
    2.5 0.0 0.0 1.0 0.0 0.5 0.0
    0.0 0.0 3.0 0.0 1.0 0.0 2.0];

N = [5 5 3 5.5 9.5 2.5 4];
T = input ('Enter the available time on machine:'); 
for j=1:jj
    for i=1:ii
    w1(i,j)=t(i,j)*N(1,j)
    w(i,j)=w1(i,j)/T
    end
end

for l1=1:ll
    for j1=1:jj

summ1=0.0;
sumx1=0.0;
        for i1=1:ii
            m1(l1,j1)=x(i1,l1)*w(i1,j1)%total load of cell l induced by part j(for a fixed value of l and j and differerent value of i multiplying x and w)
            summ1=summ1+m1(l1,j1)

              x1(i1,l1)=x(i1,l1)% no of machine in cell l
              sumx1=sumx1+x1(i1,l1)

          end
              m(l1,j1)=summ1/sumx1% avarege cell load

      end
  end

sumzfinal=0.0;
for i2=1:ii 
    for l2=1:ll

sumy1=0.0;
sumz1=0.0;
        for j2=1:jj
            f1=w(i2,j2)-m(l2,j2)% objective function
            sumz1=sumz1+f1
        end 
            x2(i2,l2)=x(i2,l2)%subject
            sumy1=sumy1+x2(i2,l2)

               z1=sumz1*sumy1 % final formula for minimization of gruping problem
               sumzfinal=sumzfinal+z1   
      end
  end

Here, I'm unable to find x

where x= where, x_il =1 if ith machine is in cell l, otherwise 0 x_il is basically the arrangement of machines in cell. So, arrangement can be of different type. And I need all the possible types of arrangement.

 Where, x_il= [1 0
                         0 1
                         1 0
             0 1
            1 0]
When, 1st , 3rd ,and 5th machine is in cell 1

And 2nd and 4th machine is in cell 2.

Using this value of x , for all x m_lj will be calculated, so that we will have the optimized value of cell load variation .