Dynamically Dimensioned Search Grey Wolf Optimizer Based on Positional Interaction Information

Algorithm 1

Pseudocode of the GWO algorithm.

Input: population size N and the maximum number of iterations MaxIter
	Output: optimal individual position and best fitness values
(1)	Randomly initialize N individuals’ position to construct a population
(2)	Calculate the fitness value of each individual and find , , and
(3)	while or stopping criteria not met do
(4)	for each individual do
(5)	Update current individuals’ position according to equation (8)
(6)	end
(7)	Update , , and ,
(8)	Evaluate the fitness value of each individual
(9)	Update , , and
(10)	end while