A Mobile Bayesian Network Structure Learning Method Using Genetic Incremental K2 Algorithm and Random Attribute Order Technology

Algorithm 2

GCDK2 algorithm.

(1)	Procedure GCDK2{
(2)	{Input: K2 algorithm need parameter initialisation, mutation rate pm = 0.5}
(3)	{Output: a bayesian network and a matrix contain optimal value and location }
(4)	For  = 1-n{
(5)
(6)	While and
(7)	{Potential parents}
(8)
(9)	For -{
(10)
(11)	End for}
(12)	{is a location, is the max first score}
(13)	Get and
(14)	Get and
(15)	Get and
(16)	Mutate optimal values get a new genetic value
(17)	If () {;
(18)	Input , ,
(19)	, and into candidate matrix
(20)	End if}
(21)	End while}
(22)	End for}
(23)	End GCDK2}