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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 5
1434-1437

Grey wolf optimization algorithm based on somersault foraging strategy

Wang Zhengtong1
Cheng Fengqin2
You Wen1
Li Shuang1
1. School of Electrical & Electronic Engineering, Changchun University of Technology, Changchun 130012, China
2. School of Electrical & Information Engineering, Jilin University of Architecture & Technology, Changchun 130114, China
DOI: 10.19734/j.issn.1001-3695.2020.04.0102

Abstract

GWO algorithm has drawbacks such as the irrationality of convergence. At present, there are few ways to improve the convergence of GWO algorithm. In addition, in the GWO iteration to the later stage, all gray individual wolves approach α wolf, β wolf and δ wolf, causing the algorithm to fall into a local optimum. In order to address the above problems, this paper proposed an enhanced GWO algorithm——DSF-GWO. This algorithm introduced a disturbance factor to balance the mining and exploration capabilities. Secondly, it introduced a somersault foraging strategy to prevent the group from falling into a local optimum, while also making the group's diversity slightly improve at the early stage. This paper verified the optimization performance of DSF-GWO by 14 unimodal and multimodal objective functions. Under the same parameter settings, the experimental results show that DSF-GWO algorithm has obvious advantages in optimization performance over GWO algorithm.

Foundation Support

吉林省科技发展计划资助项目(20200403131SF)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.04.0102
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 5
Section: Algorithm Research & Explore
Pages: 1434-1437
Serial Number: 1001-3695(2021)05-027-1434-04

Publish History

[2021-05-05] Printed Article

Cite This Article

王正通, 程凤芹, 尤文, 等. 基于翻筋斗觅食策略的灰狼优化算法 [J]. 计算机应用研究, 2021, 38 (5): 1434-1437. (Wang Zhengtong, Cheng Fengqin, You Wen, et al. Grey wolf optimization algorithm based on somersault foraging strategy [J]. Application Research of Computers, 2021, 38 (5): 1434-1437. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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