Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 3
785-789,796

New teaching-learning-based optimization algorithm with cognitive psychology theory and its application

He Peiyuan
Liu Yong
Business School, University of Shanghai for Science & Technology, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2021.08.0324

Abstract

Aiming at the problem of low accuracy of TLBO and easy falling into local optima, the paper proposed a new TLBO algorithm integrating cognitive psychology theory. Incorporating the theory of foot in the door effect in the teaching stage, it could set the periodic learning goals for students with learning difficulties, so as to improve the overall level of students. Adding teacher guidance mechanism in the learning stage was good for increasing the speed of algorithm convergence. There was a self-adjustment stage after learning stage. According to psychological locus of control theory, it divided students into internal control type and external control type. Different types of students adopt different attribution methods for their own performance and took corresponding measures. Using the classic benchmark function to test CPTLBO, the results show that the improved algorithm has advantages in optimization accuracy and convergence speed. Constructing the CPTLBO-ELM tap water supply prediction model and using CPTLBO algorithm to optimize the input weights and hidden layer threshold parameters of the extreme learning machine, so as to improve the prediction accuracy and generalization ability of the model. The simulation results show that it is more accurate for the model which is optimized by CPTLBO algorithm.

Foundation Support

教育部人文社会科学研究青年基金资助项目(21YJC620087)
上海市“科技创新行动计划”软科学研究重点项目(18692110500)
上海市哲学社会科学规划课题(2019BGL014)
上海市高原科学建设项目(第2期)
上海理工大学科技发展资助项目(2020KJFZ040)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.08.0324
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 3
Section: Algorithm Research & Explore
Pages: 785-789,796
Serial Number: 1001-3695(2022)03-024-0785-05

Publish History

[2021-10-29] Accepted Paper
[2022-03-05] Printed Article

Cite This Article

何佩苑, 刘勇. 融合认知心理学理论的新型教与学优化算法及应用 [J]. 计算机应用研究, 2022, 39 (3): 785-789,796. (He Peiyuan, Liu Yong. New teaching-learning-based optimization algorithm with cognitive psychology theory and its application [J]. Application Research of Computers, 2022, 39 (3): 785-789,796. )

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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