Yukun Zheng

May 25, 2023 | mdpi.com | Yukun Zheng |Ruyue Sun |Yixiang Liu |Yanhong Wang

Abstract:Based on the grey wolf optimizer (GWO) and differential evolution (DE), a hybridization algorithm (H-GWO) is proposed to avoid the local optimum, improve the diversity of the population, and compromise the exploration and exploitation appropriately. The mutation and crossover principles of the DE algorithm are introduced into the GWO algorithm, and the opposition-based optimization learning technology is combined to update the GWO population to increase the population diversity.