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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 11
3334-3339

Crow search algorithm improved by mixed strategy

Ge Zhizhua
Zhang Damina
Zhang Linnab
Zou Chengchenga
Zhao Peiwena
a. College of Big Data & Information Engineering, b. School of Mechanical Engineering, Guizhou University, Guiyang 550025, China
DOI: 10.19734/j.issn.1001-3695.2021.03.0107

Abstract

In order to improve the CSA with low speed of convergence and insufficient convergence accuracy. This paper proposed a MSCSA. Firstly, the algorithm introduced an adaptive weight coefficient with disturbance of tent sequence at early stage which could improve the convergence speed of the algorithm. Secondly, the algorithm introduced an operator which mixed by golden sine and moth-flame at late stage. At last, the algorithm improved the discovery probability AP which could improve the convergence accuracy of the algorithm by increasing the randomness. This paper determined the value of the iteration coefficient by comparing and testing on 9 benchmark functions. The paper verified the performance of the algorithm by the Wilcoxon rank sum test. The results of the test prove that the performance of MSCSA is better.

Foundation Support

国家自然科学基金资助项目(62062021,61872034)
贵州省科学技术基金资助项目(黔科合基础［2020］1Y254)
贵州省自然科学基金资助项目(黔科合基础［2019］1064)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.03.0107
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 11
Section: Algorithm Research & Explore
Pages: 3334-3339
Serial Number: 1001-3695(2021)11-023-3334-06

Publish History

[2021-11-05] Printed Article

Cite This Article

葛知著, 张达敏, 张琳娜, 等. 混合策略改进的乌鸦搜索算法 [J]. 计算机应用研究, 2021, 38 (11): 3334-3339. (Ge Zhizhu, Zhang Damin, Zhang Linna, et al. Crow search algorithm improved by mixed strategy [J]. Application Research of Computers, 2021, 38 (11): 3334-3339. )

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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