Vibration Tendency Prediction Approach for Hydropower Generator Fused with Multiscale Dominant Ingredient Chaotic Analysis, Adaptive Mutation Grey Wolf Optimizer, and KELM

Algorithm 1

The pseudocode of the proposed AMGWO algorithm.

(1)	Parameters:
	iter_max: Maximum iterations        : The second-best search agent
search_agents: The number of search agents     : The third-best search agent
t: Current iteration               Tp: Period of variation
: The best search agents            M: Mutation extent coefficient
(2)	Initialize the population (i = 1, 2, …, search_agents)
(3)	Initialize a, and
(4)	Calculate the fitness of each search member
(5)	t = 0
(6)	While (t < iter_max)
(7)	For each search agent:
(8)	Update the position of the current search agent on the basis of equations (24) and (25)
(9)	End for:
(10)	Update a, and by equations (21), (19) and (20), respectively.
(11)	Calculate the fitness of all grey wolves
(12)	Update the positions of α, β and δ wolves by equations (22) and (23), while the position of α wolf will be mutated every T iterations:
(13)	If mod (t + 1 + Tp, Tp) = 0/ mod represents the remainder function /
(14)	=  × (1 + M × (0.5 − rand ()))
(15)	Else:
(16)	=  − ·
(17)	End if
(18)	End else
(19)	t = t + 1
(20)	End while
(21)	Return