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Algorithm Research & Explore
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491-499

Multi-strategy sparrow search algorithm integrating golden sine and curve adaptive

Gao Chenfeng
Chen Jiaqing
Shi Mohan
School of Science, Wuhan University of Technology, Wuhan 430070, China

Abstract

To solve the shortcoming of the meta-heuristic sparrow search algorithm, such as early convergence, easy to fall into local optimum, poor global searchability, this paper proposed a multi-strategy sparrow search algorithm integrating golden sine and curve adaptative. Firstly, it used Chebyshev chaotic mapping to initialize the population, so that the initial solution position distribution was more homogeneous, produced high-quality initial solutions, and increased the richness of the population. Secondly, it introduced golden sine and curve adaptive weight to improve the location update method of the discoverer and the joiner, which effectively coordinated global search and local mining capabilities and accelerated the convergence speed. Finally, it selected the random walk or Cauchy-t disturbance strategy disturbed the optimal sparrow position dynamically, which improved the ability of the algorithm to jump out of the local optimum and improved the convergence accuracy. This paper selected 14 benchmark functions for testing, compared the simulation results of the proposed algorithm with other 9 meta-heuristic algorithms, and used Wilcoxon rank-sum test and MAE ranking to verify the effectiveness of the proposed improvement strategy. The results prove that the proposed algorithm has a great improvement in global searchability, overcoming local optima, convergence speed, convergence accuracy, and stability.

Foundation Support

国家自然科学基金资助项目(81671633)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.06.0217
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 2
Section: Algorithm Research & Explore
Pages: 491-499
Serial Number: 1001-3695(2022)02-028-0491-09

Publish History

[2021-10-08] Accepted Paper
[2022-02-05] Printed Article

Cite This Article

高晨峰, 陈家清, 石默涵. 融合黄金正弦和曲线自适应的多策略麻雀搜索算法 [J]. 计算机应用研究, 2022, 39 (2): 491-499. (Gao Chenfeng, Chen Jiaqing, Shi Mohan. Multi-strategy sparrow search algorithm integrating golden sine and curve adaptive [J]. Application Research of Computers, 2022, 39 (2): 491-499. )

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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