can any one give me an idea to solve a problem using genetic algorithm

if i have a matrix

 A = [ 1 0 1 1 
       0 1 0 0
       1 1 0 0
       1 0 0 1 ]

AND with some code i found these matrix

B = [ 1 2
      1 0     which represent the number of group ones in rows of A
      2 0 
      1 1 ]

C = [ 1 0 0 1     which represent the number of group ones in columns of A
      2 2 1 1 ]

then how can i use the genetic algorithm if i give to the function A as input matrix to find solution that give Matrix A but after applied the Genetic Algorithm

WHERE THE fitness function is

S = (sum(sum(A ~= x)));

where A is Matrix and x is the population matrix

Answer 1

[Walter Roberson]

http://www.mathworks.com/help/matlab/math/parameterizing-functions.html

Parameterize your function. Pass in A. For example,

A_fitness = @(x) (sum(sum(A ~= x)));
ga(A_fitness, .......)

I don't see why you don't just use A itself as the answer, since it is always going to have the lowest fitness under ~= .