Research Article
Application of Improved GWO Algorithm in Course Scheduling System of University Teaching Management
@INPROCEEDINGS{10.4108/eai.13-10-2023.2341241, author={Shuang Zhang}, title={Application of Improved GWO Algorithm in Course Scheduling System of University Teaching Management}, proceedings={Proceedings of the 3rd International Conference on New Media Development and Modernized Education, NMDME 2023, October 13--15, 2023, Xi’an, China}, publisher={EAI}, proceedings_a={NMDME}, year={2024}, month={1}, keywords={improved gwo algorithm; university teaching; manage the course arrangement system; app; application}, doi={10.4108/eai.13-10-2023.2341241} }- Shuang Zhang
Year: 2024
Application of Improved GWO Algorithm in Course Scheduling System of University Teaching Management
NMDME
EAI
DOI: 10.4108/eai.13-10-2023.2341241
Abstract
The expansion of the scale of running a school in colleges and universities makes the course arrangement in colleges and universities face great challenges. Therefore, the improved GWO algorithm is used to study the process of setting up the algorithm in the college teaching management. Analyze the principle and process of GWO algorithm. On this basis, using chaos theory, the first gray wolf population of GWO algorithm is constructed using Chebyshev chaotic sequence, and Levi flight is used to improve the gray wolf position adjustment formula, which makes an improved GWO algorithm. Through simulation optimization for some school's teaching process, it is verified that the improved GWO algorithm avoids the algorithm from falling into the local optimization and achieves good results in setting up the curriculum resources. This study has certain value for optimizing the teaching process.
