.png){kind=icon}
.png){kind=icon}
Return
Integer programming techniques for educational timetabling
.png){kind=icon}
OA
AI
DOI：10.1016/j.ejor.2017.03.020.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Educational timetabling problems require the assignment of times and resources to events, while sets of required and desirable constraints must be considered. The XHSTF format was adopted in this work because it models the main features of educational timetabling and it is the most used format in recent studies in the field. This work presents new cuts and reformulations for the existing integer programming model for XHS1T. The proposed cuts improved hugely the linear relaxation of the formulation, leading to an average gap reduction of 32%. Applied to XHSTT-2014 instance set, the alternative formulation provided four new best known lower bounds and, used in a matheuristic framework, improved eleven best known solutions. The computational experiments also show that the resulting integer programming models from the proposed formulation are more effectively solved for most of the instances. Published by Elsevier B.V.
Keywords:
Timetabling
Integer Programming
Formulation
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
6
Papers:
2.2W
Citations:
6.4W
Organization
View more organizations