Mixed-Integer Linear Programming Models for Teaching Assistant Assignment and Extensions
Joint Authors
Qu, Xiaobo
Liu, Zhiyuan
Wang, Tingsong
Wang, Shuaian
Yi, Wen
Xiao, Lin
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-11
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
In this paper, we develop mixed-integer linear programming models for assigning the most appropriate teaching assistants to the tutorials in a department.
The objective is to maximize the number of tutorials that are taught by the most suitable teaching assistants, accounting for the fact that different teaching assistants have different capabilities and each teaching assistant’s teaching load cannot exceed a maximum value.
Moreover, with optimization models, the teaching load allocation, a time-consuming process, does not need to be carried out in a manual manner.
We have further presented a number of extensions that capture more practical considerations.
Extensive numerical experiments show that the optimization models can be solved by an off-the-shelf solver and used by departments in universities.
American Psychological Association (APA)
Qu, Xiaobo& Yi, Wen& Wang, Tingsong& Wang, Shuaian& Xiao, Lin& Liu, Zhiyuan. 2017. Mixed-Integer Linear Programming Models for Teaching Assistant Assignment and Extensions. Scientific Programming،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1203492
Modern Language Association (MLA)
Qu, Xiaobo…[et al.]. Mixed-Integer Linear Programming Models for Teaching Assistant Assignment and Extensions. Scientific Programming No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1203492
American Medical Association (AMA)
Qu, Xiaobo& Yi, Wen& Wang, Tingsong& Wang, Shuaian& Xiao, Lin& Liu, Zhiyuan. Mixed-Integer Linear Programming Models for Teaching Assistant Assignment and Extensions. Scientific Programming. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1203492
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1203492