Journal of System Simulation ›› 2023, Vol. 35 ›› Issue (6): 1290-1307.doi: 10.16182/j.issn1004731x.joss.23-0232

• Papers • Previous Articles     Next Articles

Golden Eagle Optimizer Algorithm Combining Levy Flight and Brownian Motion

Jiaxin Deng(), Damin Zhang(), Qing He, Jianping Zhao   

  1. College of Big Data and Information Engineering, Guizhou University, Guiyang 550025, China
  • Received:2023-03-01 Revised:2023-03-17 Online:2023-06-29 Published:2023-06-20
  • Contact: Damin Zhang E-mail:jxdeng_gzu@163.com;1203813362@qq.com

Abstract:

Aiming at the slow attenuation and low convergence precision of golden eagle optimization algorithm, a new algorithm combining Levy fight and Brownian motion is proposed. In order to increase the diversity, Fuch chaotic map is introduced to initialize the golden eagle individuals. Levy flight mechanism and Brownian motion mechanism are introduced into the position update formula of golden eagle individual to improve the search accuracy and help to the jump out of local optimum. The reduction factor is introduced into the overall position update formula of the golden eagle individual to improve the convergence speed. Compared with 9 original algorithms and 5 improved algorithms under 14 benchmark test functions, the experimental results show that the improved golden eagle optimization algorithm has better performance, which are verified by three engineering applications.

Key words: Levy flight, Brownian motion, reduction factor, golden eagle optimization

CLC Number: