Answers are grounded in this paper and cite their sources.
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.
No takes yet. Share an insight, caveat, or question.
Rodríguez et al. (2016) studied this question.