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Algorithm Research & Explore
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141-146

Sparrow search algorithm based on tangent flight

Zhou Yu
Fang Qian
Pei Zexuan
Chen Bo
College of Electrical Engineering, North China University of Water Conservancy & Hydropower, Zhengzhou 450045, China

Abstract

In order to solve the problem that the original sparrow search algorithm has reduced population diversity and the weak local development ability makes it difficult to jump out of the local optimum under the condition of approaching the global optimum, this paper proposed a sparrow search algorithm based on tangential flight. First of all, it used adaptive t-distribution strategy to improve the finder location update formula, which could improve the individual sparrow's optimization ability and prevent the algorithm from maturing. Then, this paper used the tangent flight strategy in the tangent search algorithm, which could enhance the search space ability of the algorithm and make the algorithm jump out of the advantage of the local optimal solution, to disturb the optimal solution in original sparrow search algorithm. The combination of these two strategies could effectively improve the exploration and development performance of tanSSA algorithm. Finally, combining with Wilcoxon rank sum test, this paper used 12 standard benchmark functions to test and verify the optimization performance of tanSSA algorithm, and compared it with the original SSA algorithm, whale optimization algorithm, particle swarm optimization algorithm and adaptive t-distribution SSA algorithm. The experimental results show that the optimization ability and convergence speed of the sparrow search algorithm based on tangent flight have a significant improvement.

Foundation Support

国家自然科学基金资助项目(U1504622,31671580)
河南省高等学校青年骨干教师培养计划项目(2018GGJS079)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.06.0299
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 1
Section: Algorithm Research & Explore
Pages: 141-146
Serial Number: 1001-3695(2023)01-023-0141-06

Publish History

[2022-08-23] Accepted Paper
[2023-01-05] Printed Article

Cite This Article

周玉, 房倩, 裴泽宣, 等. 基于切线飞行的麻雀搜索算法 [J]. 计算机应用研究, 2023, 40 (1): 141-146. (Zhou Yu, Fang Qian, Pei Zexuan, et al. Sparrow search algorithm based on tangent flight [J]. Application Research of Computers, 2023, 40 (1): 141-146. )

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.

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