TY - GEN
T1 - An Optimal Timetabling Algorithm of University Course Based on Dynamic Resource Margin
AU - Miao, Hongyi
AU - Zhai, Qiaozhu
AU - Zhou, Yuzhou
N1 - Publisher Copyright:
© 2022 Technical Committee on Control Theory, Chinese Association of Automation.
PY - 2022
Y1 - 2022
N2 - Optimal timetabling of the university curriculum system is essential for the security and reliability of the teaching system. By the optimal timetabling of university courses, the non-adjustable requirements such as the number of classrooms and student courses can be ensured, and the adjustable requirements such as teachers' willingness to arrange courses also could be satisfied as much as possible. Then, the teaching resources can be utilized reasonably and efficiently. Operations research based methods and meta-heuristic algorithms are two major directions for solving the problem. However, in recent studies, the complex relationship between teachers, students, and classrooms is not described accurately operations research based method, and the problems of constructing feasible solutions and guaranteeing convergence are not fully handled in the meta-heuristic algorithm. Therefore, in this paper, a new optimal timetabling algorithm is proposed for university courses, in which the dynamic resource margin is refined properly to improve the utilization of teaching resources. Numerical tests are implemented in a real university course timetabling system, which shows the effectiveness and efficiency of the proposed optimal timetabling method.
AB - Optimal timetabling of the university curriculum system is essential for the security and reliability of the teaching system. By the optimal timetabling of university courses, the non-adjustable requirements such as the number of classrooms and student courses can be ensured, and the adjustable requirements such as teachers' willingness to arrange courses also could be satisfied as much as possible. Then, the teaching resources can be utilized reasonably and efficiently. Operations research based methods and meta-heuristic algorithms are two major directions for solving the problem. However, in recent studies, the complex relationship between teachers, students, and classrooms is not described accurately operations research based method, and the problems of constructing feasible solutions and guaranteeing convergence are not fully handled in the meta-heuristic algorithm. Therefore, in this paper, a new optimal timetabling algorithm is proposed for university courses, in which the dynamic resource margin is refined properly to improve the utilization of teaching resources. Numerical tests are implemented in a real university course timetabling system, which shows the effectiveness and efficiency of the proposed optimal timetabling method.
KW - dynamic resource margin
KW - optimization
KW - timetabling algorithm
UR - https://www.scopus.com/pages/publications/85140486844
U2 - 10.23919/CCC55666.2022.9901627
DO - 10.23919/CCC55666.2022.9901627
M3 - 会议稿件
AN - SCOPUS:85140486844
T3 - Chinese Control Conference, CCC
SP - 1973
EP - 1978
BT - Proceedings of the 41st Chinese Control Conference, CCC 2022
A2 - Li, Zhijun
A2 - Sun, Jian
PB - IEEE Computer Society
T2 - 41st Chinese Control Conference, CCC 2022
Y2 - 25 July 2022 through 27 July 2022
ER -