Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 12
3694-3700

Group teaching optimization algorithm integrating educational psychology theory

Yan Enqi
Ma Liang
Liu Yong
Business School, University of Shanghai for Science & Technology, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2022.05.0184

Abstract

Aiming at the shortcomings of group teaching optimization algorithm(GTOA), such as low solution accuracy and poor local optimum, this paper proposed GTOA with educational psychology theory(educational psychology group teaching optimization algorithm, EPGTOA). In the teaching stage of the outstanding group students, the teacher integrated the scaffolded instructional theory to help the students construct the knowledge system in the teaching process, which could improve the learning ability of the outstanding group students more quickly and strengthen the local search ability of the algorithm. It integrated the development of constructivist theory into the students' learning stage. Students gradually formed their unique cognitive structure, absorbed the knowledge imparted by the teacher to improve their learning ability, and thus enhanced the global search ability of the algorithm. This paper used 21 standard test functions to verify the effectiveness of the EPGTOA, and compared EPGTOA with GTOA algorithm, group teaching optimization algorithm with information share, grey wolf optimization, mayfly optimization algorithm, moth-flame optimization algorithm, and teaching-learning-based optimization. Meanwhile, it used Wilcoxon test and mean absolute error to analyze the data. The results show that EPGTOA is significant at the 5% level. EPGTOA is enhanced over GTOA algorithm in algorithm stability, solution accuracy and convergence speed. The improved algorithm has better performance, especially in solving high-dimensional problems.

Foundation Support

教育部人文社会科学研究青年基金资助项目(21YJC630087)
上海市哲学社会科学规划科课题项目(2019BGL014)
上海理工大学科技发展资助项目(2020KJFZ040)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.05.0184
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 12
Section: Algorithm Research & Explore
Pages: 3694-3700
Serial Number: 1001-3695(2022)12-026-3694-07

Publish History

[2022-06-24] Accepted Paper
[2022-12-05] Printed Article

Cite This Article

闫恩奇, 马良, 刘勇. 融合教育心理学理论的分组教学优化算法 [J]. 计算机应用研究, 2022, 39 (12): 3694-3700. (Yan Enqi, Ma Liang, Liu Yong. Group teaching optimization algorithm integrating educational psychology theory [J]. Application Research of Computers, 2022, 39 (12): 3694-3700. )

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.

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