Grey wolf optimizer with dynamic adaptation of parameters using fuzzy logic
Luis Rodríguez, Oscar Castillo, José Soria · 2016
The main goal of the paper is the use of fuzzy logic for dynamic parameter adaptation in the Grey Wolf Optimizer (GWO) algorithm. The proposed approach of a fuzzy GWO is compared with the traditional GWO algorithm with a set of benchmark functions. Simulation results show that there is a significant advantage of the proposed fuzzy GWO.