Optimal Deep Learning Enabled Prostate Cancer Detection Using Microarray Gene Expression

Algorithm 1

Pseudocode of IWO algorithm.

	Begin {
(i)	Parameter Initiation;
(ii)	Present_iterat = 1;
(iii)	While (Present_iterat < Maxm_iterat) do
(iv)	{
(v)	Determine the optimal and poor fitness in the population
(vi)	Determine the standard deviation based on rounds
(vii)	For every weed in the population W
(viii)	{
(ix)	Determine the seed count based on the fitness
(x)	Elect the seed among the possible solution surrounding the parent weed in a neighboring area with uniform distribution of and standard deviation = std;
(xi)	Append seeds created to the population W If ( Maxm_Size_Population)
(xii)	{
(xiii)	Arrange population W based on the fitness
(xiv)	W=Select_Better(weed, seed, Maxm_Size_Population)
(xv)	} End if
(xvi)	} End for
(xvii)	Present_iterat = Present_iterat + 1;
(xviii)	} End while
(xix)	}
(xx)	End