Corrected grey wolf optimizer for continuous optimization

Two corrected variants of GWO are presented to modify the potential bias in the original proposal.

Grey wolf optimizer (GWO), a well-known powerful algorithm that simulates the leadership hierarchy and hunting mechanisms of grey wolves in nature, has garnered significant attention from researchers recently. However, parts of GWO formulations have been shown to be unfit. Moreover, GWO generates outstanding results only for functions with optimal values of 0. The developer creates two corrected variants of GWO by introducing three corrections to the original GWO proposal which includes eliminating coefficient factor C, eliminating the absolute sign for factor D, and introducing a current-to-prey approach. Based on a numerical validation using CEC2005 benchmark functions, one of the proposed corrected variants performs comparably with other popular optimization algorithms and handles high-dimensional functions exceptionally well.