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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 4
1086-1091,1117

Improved sparrow search algorithm fused with multiple strategies

Zhang Xiaomeng1
Zhang Yanzhu1
Liu Lu2a
Zhang Shuo2b
Xiong Furui3
1. School of Automation & Electrical Engineering, Shenyang Ligong University, Shenyang 110159, China
2. a. School of Marine Science & Technology, Northwestern Polytechnical University, b. School of Mathematics & Statistics, Northwestern Polytechnical University, Xi'an 710072, China
3. Science & Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu 610041, China
DOI: 10.19734/j.issn.1001-3695.2021.09.0412

Abstract

Aiming at the shortcomings of the sparrow search algorithm such as slow convergence speed, insufficient optimization accuracy and easy to fall into the local optimum, this paper proposed an improved sparrow search algorithm that combined the sine search strategy and the diversity mutation processing strategy. Through the introduction of a sine search strategy, adaptive adjustment of individual weights improved the convergence speed of the algorithm. Aiming at the problem of excessive individual aggregation, this paper adopted diversity mutation processing, introduced the concept of population aggregation degree in biology and Cauchy mutation to disturb the optimal solution, and improved the possibility of the algorithm escaping from the local optimal. By testing 9 benchmark functions with different characteristics, the test results show that the improved algorithm can converge to the optimal value faster, with better average and standard deviation, indicating that it has better convergence speed, convergence stability, and the ability to escape local optimal values. By applying the improved optimization algorithm to the parameter tuning of the fractional PID controller, the experimental results further verify the effectiveness and feasibility of the improved strategy.

Foundation Support

辽宁省教育厅高等学校基本科研项目(面上项目)(LJKZ0245)
核反应堆系统设计技术重点实验室资助项目(HT-KFKT-02-2019010)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.09.0412
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 4
Section: Algorithm Research & Explore
Pages: 1086-1091,1117
Serial Number: 1001-3695(2022)04-022-1086-06

Publish History

[2021-12-09] Accepted Paper
[2022-04-05] Printed Article

Cite This Article

张晓萌, 张艳珠, 刘禄, 等. 融合多策略的改进麻雀搜索算法 [J]. 计算机应用研究, 2022, 39 (4): 1086-1091,1117. (Zhang Xiaomeng, Zhang Yanzhu, Liu Lu, et al. Improved sparrow search algorithm fused with multiple strategies [J]. Application Research of Computers, 2022, 39 (4): 1086-1091,1117. )

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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