In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
See More
Algorithm Research & Explore
|
App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 1
134-141

Multi-strategy fusion snake optimizer and its application

Wang Yonggui
Zhao Yang
Zou Heyu
Hu Pengcheng
College of Electronics & Information Engineering, Liaoning Technical University, Huludao Liaoning 125105, China
DOI: 10.19734/j.issn.1001-3695.2023.05.0197

Abstract

This paper proposed a multi-strategy snake optimizer to address the problems of poor interactivity in the optimization-seeking phase of the snake algorithm, serious randomness of the initial population, and the tendency to fall into local optimal solutions. Firstly, it used an orthogonal matrix to initialize the snake population to make the individuals more uniformly distributed; secondly, it designed an adaptive equation to explore the development phase switching to replace the original food quantity and temperature threshold to make the algorithm perform adaptive phase switching; finally, it used a joint reverse selection strategy to replace the original new individual hatching method of the algorithm to improve the convergence accuracy of the algorithm while accelerating the convergence efficiency of the algorithm. It selected ten benchmark test functions to experiment the MSSO algorithm from different perspectives to test the algorithm performance, analyzed the effectiveness of each strategy, and used the Wilcoxon rank sum test to prove the algorithm significance, and verified the practicality of MSSO through two engineering application simulation experiments. The results of each experiment show that MSSO performs better than the comparative algorithm comprehensively, which proves that the MSSO algorithm improvement has improved in the aspects of the search ability, robustness and practicality.

Foundation Support

国家自然科学基金面上项目(61772249)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.05.0197
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 1
Section: Algorithm Research & Explore
Pages: 134-141
Serial Number: 1001-3695(2024)01-020-0134-08

Publish History

[2023-07-24] Accepted Paper
[2024-01-05] Printed Article

Cite This Article

王永贵, 赵炀, 邹赫宇, 等. 多策略融合的蛇优化算法及其应用 [J]. 计算机应用研究, 2024, 41 (1): 134-141. (Wang Yonggui, Zhao Yang, Zou Heyu, et al. Multi-strategy fusion snake optimizer and its application [J]. Application Research of Computers, 2024, 41 (1): 134-141. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)