Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 10
3046-3054,3070

Gravity search algorithm based on improved adaptive black hole mechanism

Xu Wenjun
Wang Xihuai
Xiao Jianmei
Gu Junyu
College of Logistics Engineering, Shanghai Maritime University, Shanghai 201306, China
DOI: 10.19734/j.issn.1001-3695.2022.03.0096

Abstract

Aiming at the shortcomings of the basic GSA, such as prone to premature maturity, easy to fall into local optimum, and lack an effective acceleration mechanism, this paper proposed IABHGSA. The IABHGSA used the improved Tent mapping to initialize the population, which made the distribution of the initial population more random, uniform and comprehensive, and it enhanced the global exploration capability of the algorithm. IABHGSA introduced an improved adaptive black hole mechanism and selected the position update strategy according to the evolution of the particles, which made the position update more reasonable, to effectively reduce the possibility of particles falling into local optima. Through the optimal and worst particle update strategy based on learning ideas, it enhanced the algorithm's ability to escape from local optima and improved the algorithm's optimization speed. It introduced group migration to provide effective accelerated convergence mechanism for the algorithm. Finally, this paper selected 8 benchmark functions to test IABHGSA and compared with the experimental results of related algorithms. The results show that IABHGSA has better optimization performance.

Foundation Support

国家自然科学基金资助项目(71771143)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.03.0096
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 10
Section: Algorithm Research & Explore
Pages: 3046-3054,3070
Serial Number: 1001-3695(2022)10-025-3046-09

Publish History

[2022-05-13] Accepted Paper
[2022-10-05] Printed Article

Cite This Article

许文俊, 王锡淮, 肖健梅, 等. 基于改进自适应黑洞机制的引力搜索算法 [J]. 计算机应用研究, 2022, 39 (10): 3046-3054,3070. (Xu Wenjun, Wang Xihuai, Xiao Jianmei, et al. Gravity search algorithm based on improved adaptive black hole mechanism [J]. Application Research of Computers, 2022, 39 (10): 3046-3054,3070. )

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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