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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 4
1086-1093

Whale optimization algorithm incorporating armed forces collaboration for community discovery

Zhang Qiwen
Guan Dingkun
School of Computer & Communication, Lanzhou University of Technology, Lanzhou 730050, China
DOI: 10.19734/j.issn.1001-3695.2023.08.0368

Abstract

Aiming at the problems of insufficient diversity of whale optimization algorithm(WOA), inefficient and unbalanced information exchange between the two search phases, this paper proposed an improved WOA based on the armed forces collaborative warfare mechanism for community discovery. In order to solve the problem of insufficient diversity in the encircling predation stage, this paper developed a "neighbor potential" learning model to improve the global search capability and learn breadth of WOA. To solve the problem of inefficient information exchange during the two-predation phase, this paper proposed bubble net predation based on whale commanders, which could ensure effective utilization of search information. To address the imbalance between the two predation mechanisms, this paper proposed an improved learning automaton, which could guide whale populations toward promising areas. Meanwhile, because community discovery in complex networks is a discrete problem, this paper proposed a new coded discrete evolution rule based on topological properties. Finally, this paper tested the proposed algorithms on real data sets and compared them with other algorithms, and simulation experiments show that the proposed algorithm has better optimization ability than the comparison algorithm, verifying the effectiveness of the improved strategy.

Foundation Support

国家自然科学基金资助项目(62162040,62063021)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.08.0368
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 4
Section: Algorithm Research & Explore
Pages: 1086-1093
Serial Number: 1001-3695(2024)04-019-1086-08

Publish History

[2023-11-02] Accepted Paper
[2024-04-05] Printed Article

Cite This Article

张其文, 关定坤. 融入武装部队的鲸鱼优化算法用于社区发现 [J]. 计算机应用研究, 2024, 41 (4): 1086-1093. (Zhang Qiwen, Guan Dingkun. Whale optimization algorithm incorporating armed forces collaboration for community discovery [J]. Application Research of Computers, 2024, 41 (4): 1086-1093. )

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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