App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 7

Slime mould and flower pollination hybrid algorithm based on dynamic dual population

Li Dahai
Liu Xiaofeng
Wang Zhendong
School of Information Engineering, Jiangxi University of Science & Technology, Ganzhou Jiangxi 341000, China
DOI: 10.19734/j.issn.1001-3695.2023.11.0564

Abstract

Aiming at overcoming drawbacks of imbalance between the global and local search ability of a single heuristic algorithm, this paper proposes a slime mould and flower pollination hybrid algorithm based on dynamic dual population, namely HASMFP. Firstly, HASMFP adopts a grouping mechanism that takes the distance between individual inside population and the current optimal individual into consideration to dynamically divided whole population into slime mold subpopulation and pollen subpopulation to balancing the exploration and development capabilities of the algorithm more effectively. Secondly, HASMFP uses a ranking mechanism based on similarity and fitness to improve diversity of slime mold population, and further increase the probability to jump out of local optimal. At third, HASMFP also adopts a dynamic weights and constant shrinkage coefficients with an elite guidance terms to further enhance the local and global search ability of standard flower pollination algorithm at the same time. 12 test functions from CEC2017 test suit were used as the testbed to evaluate the performance of HASMFP with other 5 algorithms: ISMA, DTSMA, HLFPA, SCFPA, and tMFPA. Ablation experiments was conducted to evaluate the effectiveness of all improvement strategies applied in HASMFP, the experimental result shows that HASMFP can rank first under the combination of all improvement strategies. The result of Friedman test based on experimental data illustrates that HASMFP can achieve the supreme performance among all evaluated algorithms.

Foundation Support

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

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.11.0564
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 7

Publish History

[2024-01-31] Accepted Paper

Cite This Article

李大海, 刘晓峰, 王振东. 基于动态双种群的黏菌和花粉混合算法 [J]. 计算机应用研究, 2024, 41 (7). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.11.0564. (Li Dahai, Liu Xiaofeng, Wang Zhendong. Slime mould and flower pollination hybrid algorithm based on dynamic dual population [J]. Application Research of Computers, 2024, 41 (7). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.11.0564. )

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)