Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 2
404-412

Improved sparrow search algorithm with mixed strategy and its application

Li Dahai
Zhan Meixin
Wang Zhendong
School of Information Engineering, Jiangxi University of Science & Technology, Ganzhou Jiangxi341000, China
DOI: 10.19734/j.issn.1001-3695.2022.07.0332

Abstract

Aiming at the problems that the sparrow search algorithm(SSA) is prone to fall into local optimum and the optimization accuracy is low in the optimization process, this paper proposed a hybrid strategy improved sparrow search algorithm(MSSA). Firstly, in order to enable individual sparrows to fully search in the search space and increase the accuracy of algorithm optimization, it introduced an archiving stage in the algorithm optimization process to receive the residual position information that might be captured by sparrow producers when they moved to the safe area. Secondly, in the iterative process of the algorithm, it performed an adaptive neighborhood search operation on the current optimal individual, and fully explored the location information around the high-quality individual to enhance the algorithm's ability to jump out of the local optimum. This paper used 9 benchmark functions to evaluate the MSSA with SSA, and other four improved SSA, which were chaotic sparrow search optimization algorithm(CSSOA), mixed strategy improved sparrow search algorithm(MSSSA), improved sparrow search algorithm(ISSA), and enhanced sparrow search algorithm(ESSA). Experiment result illustrates that MSSA can achieve better convergence accuracy and stability on nearly 80% of the benchmark functions, and MSSA is also ranked first in the Friedman test. This paper also applied MSSA to optimize wireless sensor network(WSN) coverage in an obstacle environment. Compared with other five compared algorithms, MSSA can increase the coverage rates of WSN up 9.77%, 4.25%, 6.62%, 3.02%, and 7.38%, respectively.

Foundation Support

国家自然科学基金资助项目(61563019,615620237)
江西理工大学校级基金资助项目(205200100013)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.07.0332
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 2
Section: Algorithm Research & Explore
Pages: 404-412
Serial Number: 1001-3695(2023)02-015-0404-09

Publish History

[2022-09-19] Accepted Paper
[2023-02-05] Printed Article

Cite This Article

李大海, 詹美欣, 王振东. 混合策略改进的麻雀搜索算法及其应用 [J]. 计算机应用研究, 2023, 40 (2): 404-412. (Li Dahai, Zhan Meixin, Wang Zhendong. Improved sparrow search algorithm with mixed strategy and its application [J]. Application Research of Computers, 2023, 40 (2): 404-412. )

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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