Algorithm Research & Explore
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2631-2639

SBO algorithm integrated into educational psychology

Zhang Yuting
Liu Yong
Business School, University of Shanghai for Science and Technology, Shanghai 200093, China

Abstract

Aiming at the shortcomings of SBO algorithm, such as poor search performance and local optimization, this paper proposed SBO algorithm integrated with educational psychology. The teaching stage used the theory of zone of proximal development to carry out dynamic teaching for students in groups to improve the exploration ability of algorithms. It introduced the theory of achievement motivation into the self-study stage, and designed dynamic self-study methods according to the achievement motivation of each group of students to improve the development ability of algorithms. After each round of learning process, refer to the peer effect theory, it set up the class reorganization operation to increase the diversity of solutions. This paper used 40 CEC2021 test functions and 20 other types of test functions for numerical experiments, and compared SBO-EP algorithm with ant colony optimization algorithm, spherical vector-based particle swarm optimization, Archimedes optimization algorithm, gray wolf optimization algorithm, teaching and learning algorithm, cognitive psychology teaching-learning-based optimization and student psychology based optimization algorithm. The results show that SBO-EP algorithm has obvious advantages in convergence speed, optimization accuracy and stability. Finally, it conducts a comparative experiment on the combination of the three strategies, verifies the effectiveness of the improved strategy.

Foundation Support

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

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.02.0080
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 9
Section: Algorithm Research & Explore
Pages: 2631-2639
Serial Number: 1001-3695(2022)09-011-2631-09

Publish History

[2022-04-29] Accepted Paper
[2022-09-05] Printed Article

Cite This Article

张雨婷, 刘勇. 融入教育心理学的SBO算法 [J]. 计算机应用研究, 2022, 39 (9): 2631-2639. (Zhang Yuting, Liu Yong. SBO algorithm integrated into educational psychology [J]. Application Research of Computers, 2022, 39 (9): 2631-2639. )

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.

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