Can I read Optimal Minimal-perturbation University Timetabling with Faculty Preferences on EtoBox?

Optimal Minimal-perturbation University Timetabling with Faculty Preferences by Kotas, Jakob; Pham, Peter; Koellmann, Sam is a scholarly article available to read on EtoBox.

What is Optimal Minimal-perturbation University Timetabling with Faculty Preferences about?

In the university timetabling problem, sometimes additions or cancellations of course sections occur shortly before the beginning of the academic term, necessitating last-minute teaching staffing changes. We present a decision-making framework that both minimizes the number of course swaps, which are inconvenient to faculty members, and maximizes faculty members' preferences for times they wish to teach. The model is formulated as an integer linear program (ILP). Numerical simulations for a hypothetical mid-sized academic department are presented.

Author

Kotas, Jakob; Pham, Peter; Koellmann, Sam

Published

2020

Language

EN