Levy inspired Enhanced Grey Wolf Optimizer
Suhani Kohli, Manika Kaushik, Kashish Chugh, Avinash Chandra Pandey · 2019
Grey Wolf Algorithm is a recently established efficient optimization algorithm stimulated by the pursuing technique of the grey wolves. In GWO, the next location of the search individuals is modified with respect to the leading wolves. Since in GWO, all the individuals are moving towards the leading wolves and leading wolves often stick to some local solution due to accelerated exploitation. Thus, in this paper, a new modified GWO, named GWO-LF has been introduced to overcome the problem of early convergence. The efficiency of the GWO-LF is validated on 11 standard benchmark functions and outcomes are equated with 4 other recent techniques in respect of average fitness and standard deviation. The experimental outcomes vindicate that the GWO-LF outruns the reviewed techniques on the majority of test functions.