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Genetic Algorithm of the Mutual Selection Between Teachers and Students in Online Learning

  • Jingjing JiangEmail author
  • Sheng Guan
  • JiaShun Wang
  • Dandan Wang
  • Xue Song
Conference paper
  • 19 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1146)

Abstract

With the development of education, computer application has penetrated into all aspects of people’s life. Computer makes the complicated data management work easy and efficient. In addition to the major, the current university courses are studied by students’ self selected subjects. This system can meet the choice wishes of teachers and students as much as possible, accelerate the speed of selection and matching, and change the shortcomings of the previous manual course arrangement. In this paper, when we study the system of teachers and students’ mutual selection, we focus on building a mathematical model of teachers and students’ mutual selection, combining with the theory of genetic algorithm, to explore a suitable algorithm to solve the problem of automatic combination and collocation in the process of teachers and students’ mutual selection. At the same time, we use MATLAB software to generate a system of teachers and students’ two-way selection based on genetic algorithm.

Keywords

Genetic algorithm Penalty function Fitness function Constrained optimization problem 

Notes

Acknowledgements

This work was supported by 2019 national innovation and entrepreneurship training project “Intelligent Learning Table” (Project No.: 201913207031) of Dalian University of Science and Technology.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Jingjing Jiang
    • 1
    Email author
  • Sheng Guan
    • 1
  • JiaShun Wang
    • 1
  • Dandan Wang
    • 1
  • Xue Song
    • 1
  1. 1.School of Digital TechnologyDalian University of Science and TechnologyDalianChina

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