Journal of System Simulation
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.
Recommended Citation
Deng, Jiaxin; Zhang, Damin; He, Qing; and Zhao, Jianping
(2023)
"Golden Eagle Optimizer Algorithm Combining Levy Flight and Brownian Motion,"
Journal of System Simulation: Vol. 35:
Iss.
6, Article 14.
DOI: 10.16182/j.issn1004731x.joss.23-0232
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol35/iss6/14
First Page
1290
Revised Date
2023-03-17
DOI Link
http://dx.doi.org/10.16182/j.issn1004731x.joss.23-0232
Last Page
1307
CLC
TP391.9
Recommended Citation
Jiaxin Deng, Damin Zhang, Qing He, Jianping Zhao. Golden Eagle Optimizer Algorithm Combining Levy Flight and Brownian Motion[J]. Journal of System Simulation, 2023, 35(6): 1290-1307.
DOI
10.16182/j.issn1004731x.joss.23-0232
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