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. 12
3584-3591

Improved heap-based optimizer and its application to cervical cell data clustering optimization

Zhang Xinming1,2
Chen Haiyan3
Dou Yuqiang1,2
Wang Shanxia1,2
Liu Guoqi1,2
Dou Zhi1,2
Zhang Bei4
1. College of Computer & Information Engineering, Henan Normal University, Xinxiang Henan 453007, China
2. Engineering Lab of Intelligence Business & Internet of Things of Henan Province, Xinxiang Henan 453007, China
3. Dept. of Gynecological Tumor, Hubei Cancer Hospital, Wuhan 430079, China
4. Institute of Robotics & Intelligent System, Wuhan University of Science & Technology, Wuhan 430081, China
DOI: 10.19734/j.issn.1001-3695.2023.05.0153

Abstract

In view of the easy entrapment into local optima and sensitiveness to initial point of conventional clustering methods, this paper proposed an improved heap based optimizer(HBO) clustering method. Firstly, this paper presented an improved HBO, namely DRHBO. It used a random dimensional value replacement and Gaussian disturbance strategy to update the state of the best agent to solve the defects such as low efficiency of HBO. It utilized a sine differential disturbance to update a random agent' state and that breaks through the shackle of the individual's communication only with its direct leader and colleagues, to improve the search ability. It integrated the random dimensional value replacement and differential disturbance strategies to update the states of the agents in the initial stage of HBO to avoid generating inefficient solutions. Secondly, this paper presented a DRHBO clustering method and applied it to cervical cell data to get better effects. Lots of experimental results on cervical cell data sets with diverse types and different sample numbers show that compared with HBO, its variants and other state-of-the-art algorithms, DRHBO can get better performance, stronger stability and higher efficiency. DRHBO clustering is more suitable to cervical cell data.

Foundation Support

国家自然科学基金资助项目(61901160)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.05.0153
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 12
Section: Algorithm Research & Explore
Pages: 3584-3591
Serial Number: 1001-3695(2023)12-010-3584-08

Publish History

[2023-06-28] Accepted Paper
[2023-12-05] Printed Article

Cite This Article

张新明, 陈海燕, 窦育强, 等. 改进的堆优化算法及其宫颈细胞数据聚类优化 [J]. 计算机应用研究, 2023, 40 (12): 3584-3591. (Zhang Xinming, Chen Haiyan, Dou Yuqiang, et al. Improved heap-based optimizer and its application to cervical cell data clustering optimization [J]. Application Research of Computers, 2023, 40 (12): 3584-3591. )

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)