Optimal Learning Behavior Prediction System Based on Cognitive Style Using Adaptive Optimization-Based Neural Network

Algorithm 1

Grey wolf optimizer algorithm.

	Input: search population variable , solution size a, the solution from upper to lower limit
	, maximum iteration
	Output: the topmost pounce factor
(1)	Initialize the population of grey wolf solution where and
(2)	Initialize d, , , and i = 1
(3)	Estimate every search factor fitness , and hence
(4)	= the primary best search factor
(5)	= the secondary best search factor
(6)	= the tertiary best search factor
(7)	while (i < maximum iteration) do
(8)	for every search factor do
(9)	Upgrade the current search factor location using equation (9)
(10)	end for
(11)	Upgrade d, , and
(12)	Estimate every search factor fitness
(13)	Upgrade , , and
(14)	i = i + 1
(15)	end while
(16)	return