A Novel Optimized Graph-Based Transform Watermarking Technique to Address Security Issues in Real-Time Application

Algorithm 2

Hybrid GWO-GA approach for embedding factor.

	Input: embedding factor
	Output: optimized embedding factor for watermark embedding on alpha value
	Begin
(1)	Initialize parameters a, F, and L and population size N, Pc, and Pm
(2)	Initialize current population P
(3)	i = 0
(4)	While i < imax
(5)	{
(6)	Find the fitness value of all search agents
(7)	Sα = Best Search agent for embedding factor
	Sβ = 2^nd Best Search agent for embedding factor
	Sδ = 3^rd Best Search agent for embedding factor
(8)	for i = 1 to N
(9)	{
(10)	Update search agent positions given in equation (21).
(11)	}
(12)	Assign P1←P except S
(13)	for i = 1 to N−1
(14)	{
(15)	Get new value of P2 by the selection on new value of P1.
(16)	}
(17)	Assign P←newP2, Sα
(18)	Generate subpopulation Ps using partitioning on P.
(19)	Select the individuals using crossover probability Pc.
(20)	for i = 1 to NPc
(21)	{
(22)	Perform crossover on each search agent by equations (27) and (28).
(23)	}
(24)	Generate S^’α, S^’β, and S^’δ, by equation (29) on mutation probability Pm.
(25)	}
(26)	Return Sα.
	End