A Systematic and Meta-Analysis Survey of Whale Optimization Algorithm

Algorithm 1

The whale optimization algorithm pseudocode.

	Details of the WOA are described below:
	Generate initial population Xi where (i = 1, 2, 3, …, n)
	Calculate the fitness of each solution
	X = the best search agent
	While (t < Max_iterations)
	For each solution
	Update a, A, C, L, and
	If1 ()
	If2 (/A/ < 1)
	Update the position of the current search agent by using Equation (1)
	Else if2(/A/ ≥ 1)
	Select a random search agent (Xrand)
	Update the position of the current search agent by using Equation (7)
	End if2
	Else if1 ()
	Update the position of the current search agent by using Equation (5)
	End if1
	Enf for
	Check if any search agent goes beyond the search space and amend it
	Calculate the fitness of each search agent
	Update X if there is a better solution t = t + 1
	End while
	Return X