Research Article

Tumor Detection on Microarray Data Using Grey Wolf Optimization with Gain Information

Table 3

The GWO’s pseudocode.

(1). initialize GWO population of solution vectors
(2). define coefficient vectors and
(3). evaluate fitness value f(xi), i = 1,…., nWolf
(4). determine , , and
(5). while iter < maxIter
(6).  for i = 1:nWolf
(7).   movement of grey wolves, according to Equation 18
(8).   end for
(9)   update coefficients and
(10).   calculate fitness values f(xi), i = 1,….,n
(11).   update , , and
(12).   iter ←iter + i
(13). end while
(14). return , f( )