Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 9
2713-2719,2728

Enhanced moth-flame optimization algorithm for critical node detection

Xu Qinjun1,2,3
Xu Longqin1,2,3
Liu Shuangyin1,2,3
Zhao Xuehua4
1. College of Information Science & Technology, Zhongkai University of Agriculture & Engineering, Guangzhou 510225, China
2. Intelligent Agriculture Engineering Research Center of Guangdong Higher Education Institutes, Guangzhou 510225, China
3. Guangzhou Key Laboratory of Agricultural Products Quality & Safety Traceability Information Technology, Guangzhou 510225, China
4. School of Digital Media, Shen-zhen Institute of Information Technology, Shenzhen Guangdong 518172, China
DOI: 10.19734/j.issn.1001-3695.2023.02.0032

Abstract

The detection of critical nodes plays an important role with significant potential in understanding and controlling complex network systems. This paper proposed critical node mining algorithm based on the moth-flame optimization to address the critical node problem. It introduced strategies such as opposition-based learning to improve the quality of the solution set and accelerate convergence. Additionally, it designed fast population evolution and hybrid Gaussian evolution methods to optimize the solution set and enhance the exploration capability of the solution space, overcoming local optima traps. Comparative experimental results conducted on multiple synthetic and real network datasets demonstrate that the proposed algorithm exhibits higher robustness compared to other advanced comparative algorithms. Furthermore, the effectiveness of the algorithm components is validated.

Foundation Support

国家自然科学基金资助项目(61871475)
广东省自然科学基金资助项目(2021A1515011994)
广州市重点研发计划资助项目(202103000033,201903010043)
广东省科技计划资助项目(2020A1414050060,2020B0202080002,2016A020210122,2015A040405014)
广东省普通高校创新团队项目(2021KCXTD019,2020KCXTD040,2022KCXTD057)
广东省普通高校特色创新项目(KA190578826)
梅州市科技计划资助项目(2021A0305010)
广州市增城区农村科技特派员资助项目(2021B42121631)
广东省教育科学规划课题(2020GXJK102,2018GXJK072)
广东省研究生教育创新计划资助项目(2022XSLT056,2022JGXM115)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.02.0032
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 9
Section: Algorithm Research & Explore
Pages: 2713-2719,2728
Serial Number: 1001-3695(2023)09-023-2713-07

Publish History

[2023-04-20] Accepted Paper
[2023-09-05] Printed Article

Cite This Article

许钦钧, 徐龙琴, 刘双印, 等. 基于飞蛾扑火算法的关键节点挖掘方法 [J]. 计算机应用研究, 2023, 40 (9): 2713-2719,2728. (Xu Qinjun, Xu Longqin, Liu Shuangyin, et al. Enhanced moth-flame optimization algorithm for critical node detection [J]. Application Research of Computers, 2023, 40 (9): 2713-2719,2728. )

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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