Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 6
1710-1717

Crow search algorithm using multi-mode flight

Feng Aiwu1
Wang Yong1,2
Fu Xiaopeng1
1. College of Artificial Intelligence, Guangxi Minzu University, Nanning 530006, China
2. Guangxi Key Laboratory of Hybrid Computation & IC Design Analysis, Nanning 530006, China
DOI: 10.19734/j.issn.1001-3695.2021.12.0607

Abstract

Aiming at the shortcomings of crow search algorithm(CSA), this paper proposed a crow search algorithm using multi-mode flight(MFCSA). Based on the strength of foraging ability, the algorithm divided the population into two groups: strong and weak foraging ability. Those with strong foraging ability adopted the strategy of trailing and tracking the optimal target of the current group, and flied to the vicinity of the current optimal position of the group under the guidance of the group information to carry out search activities, which enhanced the local exploitation ability of the algorithm. Those with weaker foraging ability adopted the two strategies of observing and learning the foraging methods of the strong, and flying away quickly when encountering danger, the former could improve the global exploration ability of the algorithm, and the latter could maintain the diversity of the population. Through the numerical experiment simulation of 15 benchmark test functions and 2 engineering application problems, the results show that the MFCSA has better performance in optimization accuracy, convergence speed, etc., enhances the ability to avoid falling into the local optimum, and has better stability.

Foundation Support

国家自然科学基金资助项目(61662005)
广西自然科学基金资助项目(2021JJA170094)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.12.0607
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 6
Section: Algorithm Research & Explore
Pages: 1710-1717
Serial Number: 1001-3695(2022)06-019-1710-08

Publish History

[2022-01-14] Accepted Paper
[2022-06-05] Printed Article

Cite This Article

冯爱武, 王勇, 付小朋. 采用多模式飞行的乌鸦搜索算法 [J]. 计算机应用研究, 2022, 39 (6): 1710-1717. (Feng Aiwu, Wang Yong, Fu Xiaopeng. Crow search algorithm using multi-mode flight [J]. Application Research of Computers, 2022, 39 (6): 1710-1717. )

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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