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
Algorithm Research & Explore
|
App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 3
717-724

Enhancing seagull optimization algorithm by applying multiple strategies

Li Dahai
Xiong Wenqing
Wang Zhendong
School of Information Engineering, Jiangxi University of Science & Technology, Ganzhou Jiangxi 341000, China
DOI: 10.19734/j.issn.1001-3695.2022.07.0372

Abstract

Aiming at the shortcomings of the seagull optimization algorithm(SOA), which has low solution accuracy, and rela-tively poor population diversity, and is easy to trap in local optimal, this paper proposed an enhanced seagull optimization algorithm(ESOA) that integrated multiple improvement strategies. Firstly, this paper used an improved self-adaptive differential mutation strategy to perform differential mutation operation on a single seagull individual in each iteration process which could expand the global search range of seagulls and improve the diversity of the population. Secondly, it established a processing mechanism for the worst position of individual seagulls based on particle swarm algorithm. Finally, for the optimal position of the seagull, it adopted a dynamic lens mapping strategy to jump out of the local optimum for the optimal position of the seagull. This paper used 14 functions in the CEC2017 test suite as the benchmark function to compare the performance of ESOA, algorithm with sparrow search algorithm(SSA), moth-flame optimization algorithm(MFO), grey wolf optimizer(GWO), and the improved GSCSOA and CCSOA. The experimental results show that ESOA has a statistically significant performance advantage.

Foundation Support

国家自然科学基金资助项目(61563019)
国家自然科学基金资助项目(615620237)
江西理工大学校级基金资助项目(205200100013)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.07.0372
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 3
Section: Algorithm Research & Explore
Pages: 717-724
Serial Number: 1001-3695(2023)03-012-0717-08

Publish History

[2022-10-14] Accepted Paper
[2023-03-05] Printed Article

Cite This Article

李大海, 熊文清, 王振东. 融合多策略的增强海鸥优化算法 [J]. 计算机应用研究, 2023, 40 (3): 717-724. (Li Dahai, Xiong Wenqing, Wang Zhendong. Enhancing seagull optimization algorithm by applying multiple strategies [J]. Application Research of Computers, 2023, 40 (3): 717-724. )

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)