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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 12
3592-3598

Improved gravitational search algorithm with multi-strategy fusion

Fan Kangsheng
Yang Guangyong
Wu Dafei
Wang Jun
Xu Tianqi
School of Electrical & Information Technology, Yunnan Minzu University, Kunming 650500, China
DOI: 10.19734/j.issn.1001-3695.2023.04.0151

Abstract

To solve the problems being easy to fall into local optimum and weak development capability of traditional universal gravitational search algorithm(GSA), this paper proposed an improved gravity search algorithm with a multi-strategy fusion(MFGSA). Firstly, in order to enhance the exploration capability and convergence precision of the algorithm, the improved algorithm used an update strategy for dynamically adjusting the gravitational constant G. Secondly, in order to preserve the diversity of particles and improve the convergence precision, the improved algorithm proposed a particle crossing processing strategy based on symmetry idea. To accommodate the first two strategies, the improved algorithm used the elitist strategy which was introduced to improve the position of the worst particles with the optimal particles to avoid the algorithm falling into local optimization. At the same time, the improved algorithm proposed a self-adaptive factor to update particle velocity and position strategy to improve the convergence speed of the algorithm. This paper designed a few compared experiments with the traditional universal gravitation search algorithm and other four improved universal gravitation search algorithms on 10 benchmark functions to verify the performance of the improved algorithm. The results show that MFGSA has great advantages in convergence speed and search accuracy, which proves the superiority of MFGSA performance.

Foundation Support

国家自然科学基金资助项目(61761049,61261022)
2023年度云南省教育厅科学研究基金资助项目(2023Y0502)
云南民族大学2022年硕士研究生科研创新基金资助项目(2022SKY006)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.04.0151
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 12
Section: Algorithm Research & Explore
Pages: 3592-3598
Serial Number: 1001-3695(2023)12-011-3592-07

Publish History

[2023-06-27] Accepted Paper
[2023-12-05] Printed Article

Cite This Article

樊康生, 杨光永, 吴大飞, 等. 多策略融合的改进万有引力搜索算法 [J]. 计算机应用研究, 2023, 40 (12): 3592-3598. (Fan Kangsheng, Yang Guangyong, Wu Dafei, et al. Improved gravitational search algorithm with multi-strategy fusion [J]. Application Research of Computers, 2023, 40 (12): 3592-3598. )

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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