Algorithm Research & Explore
|
3673-3677

Multi-objective particle swarm algorithm based on quasi-circular mapping

Dai Yongbin
College of Software, Liaoning University of Technology, Jinzhou Liaoning 121001, China

Abstract

For the problem of multi-objective optimization, this paper proposed a multi-objective particle swarm optimization algorithm based on quasi-circular mapping(qMOPSO) . Firstly, qMOPSO projected the solutions in high-dimensional objective space into the divided 2-dimensional quasi-circular space in order to monitor evolutionary status of the particle population. Then, the algorithm adopted quasi-circular dominant and individual distance based on sector blocks to design an archive maintaining algorithm which could balance diversity and convergence of solutions in the archive. In addition, it introduced an adaptive global best selection mechanism based on the solution distribution entropy to analyze the evolutionary tendency. Finally, the algorithm used a general management strategy based on changing dimension and elimination mechanism to enhance population management. qMOPSO was compared with five multi-objective optimization algorithms on three kinds of test suites. The simulation results show the correctness and effectiveness of the proposed approach.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.04.0147
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 12
Section: Algorithm Research & Explore
Pages: 3673-3677
Serial Number: 1001-3695(2021)12-026-3673-05

Publish History

[2021-12-05] Printed Article

Cite This Article

戴永彬. 基于类圆映射的多目标粒子群优化算法 [J]. 计算机应用研究, 2021, 38 (12): 3673-3677. (Dai Yongbin. Multi-objective particle swarm algorithm based on quasi-circular mapping [J]. Application Research of Computers, 2021, 38 (12): 3673-3677. )

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)