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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 6
1725-1730

Bidirectional search grey wolf optimizer based on stagnation detection

Zhang Daming
Xu Jiaqing
Zhao Yanqing
Ding Junjie
College of Information Science & Engineering, Guilin University of Technology, Guilin Guangxi 541004, China
DOI: 10.19734/j.issn.1001-3695.2021.11.0609

Abstract

Aiming at the problem that grey wolf optimizer(GWO) was easy to fall into local optimization and low convergence speed, this paper proposed a bidirectional search grey wolf optimizer based on stagnation detection(DBGWO). In order to improve the quality of the initial population, it introduced Bernoulli shift mapping. In order to make full use of the unique wolf mechanism of GWO and achieve the purpose of improving the performance of the algorithm as a whole, it proposed a bidirectional search strategy. In order to improve the ability of jumping out of local optimization and increase the convergence speed of the algorithm, it proposed a stagnation detection mechanism. According to the judgment of whether the algorithm had the risk of falling into the local optimization, the wolves would take corresponding measures to change the current state. Through simulation experiments on 23 benchmark functions, the results show that this algorithm is effective in solving multi-modal function problems, and it is also superior in solving function problems with non-zero points of the optimal solution. In addition, this algorithm was used to solve the problem of multi-threshold image segmentation, which solved the problem that the Kapur entropy method was too time-consuming to calculate the multi-threshold.

Foundation Support

国家自然科学基金资助项目(52178468)
广西自然科学基金联合资助培育项目(2019GXNSFAA245037)
广西青年创新人才科研专项资助项目(桂科AD19245012)
广西“嵌入式技术与智能系统”重点实验室开放基金资助项目(2019-02-08)
桂林理工大学博士启动基金资助项目(GUTQGJJ2019042,GUTQDJJ2019041)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.11.0609
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 6
Section: Algorithm Research & Explore
Pages: 1725-1730
Serial Number: 1001-3695(2022)06-021-1725-06

Publish History

[2022-01-17] Accepted Paper
[2022-06-05] Printed Article

Cite This Article

张大明, 徐嘉庆, 赵彦清, 等. 基于停滞检测的双向搜索灰狼优化算法 [J]. 计算机应用研究, 2022, 39 (6): 1725-1730. (Zhang Daming, Xu Jiaqing, Zhao Yanqing, et al. Bidirectional search grey wolf optimizer based on stagnation detection [J]. Application Research of Computers, 2022, 39 (6): 1725-1730. )

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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