Dynamically Dimensioned Search Grey Wolf Optimizer Based on Positional Interaction Information
Algorithm 2
Pseudocode of the DDS algorithm.
Input: scalar neighborhood size perturbation factor , maximum number of iterations , number of variables (dimension) , and upper bounds and lower bounds
Output: and
(1)
Initialization
,
Set t = 1, ,,
(2)
while do
(3)
Compute the probability of perturbing the decision variables using equation (12)
