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
Technology of Network & Communication
|
App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 3
887-893

Frequency-hopping sequence design method based on large-scale multi-objective optimization

Zhang Yiheng1
Liu Yi'an1
Song Hailing2
1. School of Artificial Intelligence & Computer Science, Jiangnan University, Wuxi Jiangsu 214122, China
2. Naval Research Institute, Beijing 100161, China
DOI: 10.19734/j.issn.1001-3695.2023.08.0336

Abstract

Aiming at the problem of small scale and difficulty in taking into account multiple indexes in the design of frequency-hopping sequences, this paper proposed a frequency-hopping sequence design method based on large-scale multi-objective optimization. Firstly, considering the multiple performance indexes of frequency-hopping sequence, this paper established a multi-objective optimization model of frequency-hopping sequence. Then, this paper introduced a large-scale multi-objective optimization algorithm, and proposed the decision variable shuffling strategy and the opposition-based differential evolution, which could form a diverse non-dominated set by redistributing the position of decision variables and provide an effective direction for subsequent evolution by enabling reverse individuals to participate in differential evolution and provides an effective direction for subsequent evolution. Finally, this method used the proposed algorithm to optimize the model to obtain a frequency-hopping sequence set. The experimental results show that the proposed algorithm has stronger optimization ability than other multi-objective optimization algorithms, and the performance indexes of the frequency-hopping sequence set has obvious advantages. In different interference environments, the proposed design method has lower bit error rate than other methods, which verifies the effectiveness and superiority of the proposed method.

Foundation Support

国家自然科学基金资助项目(62076110)
江苏省自然科学基金资助项目(BK20181341)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.08.0336
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 3
Section: Technology of Network & Communication
Pages: 887-893
Serial Number: 1001-3695(2024)03-036-0887-07

Publish History

[2023-10-12] Accepted Paper
[2024-03-05] Printed Article

Cite This Article

张毅恒, 刘以安, 宋海凌. 基于大规模多目标优化的跳频序列设计方法 [J]. 计算机应用研究, 2024, 41 (3): 887-893. (Zhang Yiheng, Liu Yi'an, Song Hailing. Frequency-hopping sequence design method based on large-scale multi-objective optimization [J]. Application Research of Computers, 2024, 41 (3): 887-893. )

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)