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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 9
2711-2717

Coyote optimization algorithm with global guidance and coyote interaction and its application

Zhang Xinming1
Fu Zihao1
Chen Haiyan2
Liu Shangwang1
Dou Zhi1
Liu Guoqi1
1. College of Computer & Information Engineering, Henan Normal University, Xinxiang Henan 453007, China
2. Dept. of Gynecological Tumor, Hubei Cancer Hospital, Wuhan 430079, China
DOI: 10.19734/j.issn.1001-3695.2019.04.0136

Abstract

Aiming at the problem, such as novel COA has slow convergence and insufficient global search ability when solving complex optimization problems, this paper proposed an algorithm called GCCOA. Firstly, during the growth of the coyotes in packs, it embedded a global-best guidance coyote to make the exploitation more powerful and to improve the convergence qua-lity of COA. Then, it adopted a cultural tendency with coyote interaction, which was impacted by the interaction of the coyotes in the pack, to improve the global search ability of COA. Finally, it applied GCCOA to complex function optimization and image enhancement. A lot of experimental results on 29 complex functions from CEC2017 set show that GCCOA obtains 22 times of the first place and has better optimization ability than COA, HFSPO, CSPSO and β-GWO. In additional, the experimental results on medical image enhancement show that GCCOA can solve the optimization problem better than comparison algorithms such as COA and so on. So GCCOA is an optimization algorithm.

Foundation Support

国家自然科学基金资助项目(U1704158)
河南省高等学校重点科研项目(19A520026)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.04.0136
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 9
Section: Algorithm Research & Explore
Pages: 2711-2717
Serial Number: 1001-3695(2020)09-030-2711-07

Publish History

[2020-09-05] Printed Article

Cite This Article

张新明, 付子豪, 陈海燕, 等. 全局引导和相互作用的郊狼优化算法及其应用 [J]. 计算机应用研究, 2020, 37 (9): 2711-2717. (Zhang Xinming, Fu Zihao, Chen Haiyan, et al. Coyote optimization algorithm with global guidance and coyote interaction and its application [J]. Application Research of Computers, 2020, 37 (9): 2711-2717. )

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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