Algorithm Research & Explore
|
App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 8
2324-2328

Improved wolf pack algorithm for multi-constrained sparse array Synthesis

Wang Ting1,2
Xia Kewen1
Tang Lijun2
Zhou Wei2
1. School of Electronic Information Engineering, Hebei University of Technology, Tianjin 300000, China
2. People's Liberation Army Air Force 93756, Tianjin 300401, China
DOI: 10.19734/j.issn.1001-3695.2019.01.0059

Abstract

Based on quantum theory, this paper proposed an improved wolf pack optimization algorithm for the comprehensive optimization of sparse linear arrays with multiple constraints. The new algorithm greatly improved the global optimization ability through the special coding of quantum bits, stagnation detection and selective mutation. It gave the flow chart of the improved wolf swarm algorithm. Given the array aperture and the number of elements, the algorithm could simulate the peak side-lobe level(PSLL) of sparse linear arrays with arbitrary minimum array spacing constraints. By solving the space transformation, it effectively avoided the infeasible solution in the process of updating wolf group position, reduced the judgment steps, and improved the optimization efficiency. The simulation results show that the method is efficient and stable, and has good popularization value.

Foundation Support

国家自然科学基金资助项目
天津自然科学基金资助项目
河北省自然科学基金资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.01.0059
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 8
Section: Algorithm Research & Explore
Pages: 2324-2328
Serial Number: 1001-3695(2020)08-017-2324-05

Publish History

[2020-08-05] Printed Article

Cite This Article

王停, 夏克文, 唐黎军, 等. 改进狼群算法用于多约束稀布线阵综合 [J]. 计算机应用研究, 2020, 37 (8): 2324-2328. (Wang Ting, Xia Kewen, Tang Lijun, et al. Improved wolf pack algorithm for multi-constrained sparse array Synthesis [J]. Application Research of Computers, 2020, 37 (8): 2324-2328. )

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)