Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 8
2388-2396,2402

Multi-strategy flower pollination optimization algorithm for vehicle power transmission parameters

Li Dahai
Wu Zhaoqian
Wang Zhendong
School of Information Engineering, Jiangxi University of Science & Technology, Ganzhou Jiangxi 341099, China
DOI: 10.19734/j.issn.1001-3695.2022.02.0036

Abstract

Classic flower pollination algorithm(FPA) can be easily exposed to the shortcomings of local optimal solution and slow convergence velocity. In view of these shortcomings, this paper proposed an FPA with an enhanced lens imaging strategy and random neighborhood-based mutation strategy. The lens imaging strategy could help the algorithm to avoid the shortcoming of local optimal solution by expanding the search space of FPA to increase the diversity of the solution. The introduction of random neighborhood-based mutation strategy could enhance the convergence accuracy and search speed of the algorithm by guiding algorithm search with information in the neighborhood. A comparison of the improved FPA with four other improved algorithms on CEC2013 test function found that the improved multi-strategy FPA performed better than the comparison algorithms in both convergence accuracy and search speed. To study its practical utility, this paper applied the multi-strategy FPA into the automobile transmission parameter model and the results indicate that multi-strategy FPA was better than the comparison algorithm in optimization of automobile transmission parameters.

Foundation Support

国家自然科学基金资助项目(61563019,61562037)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.02.0036
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 8
Section: Algorithm Research & Explore
Pages: 2388-2396,2402
Serial Number: 1001-3695(2022)08-025-2388-09

Publish History

[2022-04-02] Accepted Paper
[2022-08-05] Printed Article

Cite This Article

李大海, 伍兆前, 王振东. 多策略增强花授粉算法及其应用 [J]. 计算机应用研究, 2022, 39 (8): 2388-2396,2402. (Li Dahai, Wu Zhaoqian, Wang Zhendong. Multi-strategy flower pollination optimization algorithm for vehicle power transmission parameters [J]. Application Research of Computers, 2022, 39 (8): 2388-2396,2402. )

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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