An English Test Paper Grouping Method Based on Improved Gray Wolf Algorithm

DOI

10.2991/978-94-6463-040-4_59How to use a DOI?

Keywords

Improved Grey Wolf Algorithm; Test paper formation; English Test Paper

Abstract

Aiming at the problems of slow speed, low success rate and uncontrollable quality of traditional English test paper formation method, an automatic test paper formation method based on improved Gray Wolf algorithm was proposed. Firstly, the mathematical model of automatic test paper formation is analyzed. Secondly, the traditional gray Wolf algorithm is improved to improve the convergence speed of the algorithm. Finally, the improved grey Wolf algorithm is applied to the English test paper composition problem. The experimental results show that the improved algorithm has higher success rate and better quality of test paper.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yue Wu
PY  - 2022
DA  - 2022/12/27
TI  - An English Test Paper Grouping Method Based on Improved Gray Wolf Algorithm
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 390
EP  - 394
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_59
DO  - 10.2991/978-94-6463-040-4_59
ID  - Wu2022
ER  -