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.
Algorithm Research & Explore
|
2311-2316,2348

Self-organizing multi-objective particle swarm optimization algorithm

Liang Jing1
Guo Qianqian1
Yue Caitong1
Qu Boyang2
1. School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China
2. School of Electric & Information Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China

Abstract

In order to keep the balance between convergence and diversity of multi-objective particle swarm optimization algorithm, this paper proposed a self-organizing multi-objective particle swarm optimization algorithm(SMPSO), which utilized structure of population to solve multi-objective optimization problems. The distribution of the population and non-dominated solutions founded by self-organizing map network helped to construct the particle neighborhood relations, so as to improve the algorithm's local and global search ability by selecting non-dominated solution as leader in the neighborhood. The elite learning strategy could help population jump out local optimum by doing mutation on elite particles. The experimental results show its ability to keep convergence and diversity, and show its effectiveness to solve the multi-objective optimization problems.

Foundation Support

国家自然科学基金资助项目(61473266,61673404)
河南省高校优秀青年教师研究奖励基金资助项目(2014GGJS-004)
河南省大学创新人才科技计划资助项目(16HASTIT041)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0070
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 8
Section: Algorithm Research & Explore
Pages: 2311-2316,2348
Serial Number: 1001-3695(2019)08-015-2311-06

Publish History

[2019-08-05] Printed Article

Cite This Article

梁静, 郭倩倩, 岳彩通, 等. 自组织多目标粒子群优化算法 [J]. 计算机应用研究, 2019, 36 (8): 2311-2316,2348. (Liang Jing, Guo Qianqian, Yue Caitong, et al. Self-organizing multi-objective particle swarm optimization algorithm [J]. Application Research of Computers, 2019, 36 (8): 2311-2316,2348. )

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)