An Enhanced Grey Wolf Algorithm Based on Equalization Mechanism

Abstract

Since the GWO (Grey wolf optimization) has some limitation in application to real-wold problems, such as slow convergence speed, low precision and it easily falls into the local minimal in the later stage of complex optimization problems, a novel grey wolf algorithm based on equalization mechanism (EmGWO) is proposed. In the proposed algorithm, the uniform distribution point set, equalization mechanism, and winning mechanism are used to enhance the searching ability of the grey wolf algorithm. Simulation based on well-known benchmark functions demonstrates the efficiency of the proposed EmGWO.