Home > Research > Publications & Outputs > Integer programming methods for large-scale pra...

Electronic data

  • roomAssignmentv13

    Rights statement: This is the author’s review version of a work that was accepted for publication in Computers and Operations Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers and Operations Research, 53, 2015 DOI: 10.1016/j.cor.2014.07.012

    Submitted manuscript, 336 KB, PDF document

    Available under license: CC BY-NC-ND: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

Links

Text available via DOI:

View graph of relations

Integer programming methods for large-scale practical classroom assignment problems

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Integer programming methods for large-scale practical classroom assignment problems. / Philips, Antony E.; Waterer, Hamish; Ehrgott, Matthias et al.
In: Computers and Operations Research, Vol. 53, 01.2015, p. 42-53.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Philips, AE, Waterer, H, Ehrgott, M & Ryan, DM 2015, 'Integer programming methods for large-scale practical classroom assignment problems', Computers and Operations Research, vol. 53, pp. 42-53. https://doi.org/10.1016/j.cor.2014.07.012

APA

Philips, A. E., Waterer, H., Ehrgott, M., & Ryan, D. M. (2015). Integer programming methods for large-scale practical classroom assignment problems. Computers and Operations Research, 53, 42-53. https://doi.org/10.1016/j.cor.2014.07.012

Vancouver

Philips AE, Waterer H, Ehrgott M, Ryan DM. Integer programming methods for large-scale practical classroom assignment problems. Computers and Operations Research. 2015 Jan;53:42-53. doi: 10.1016/j.cor.2014.07.012

Author

Philips, Antony E. ; Waterer, Hamish ; Ehrgott, Matthias et al. / Integer programming methods for large-scale practical classroom assignment problems. In: Computers and Operations Research. 2015 ; Vol. 53. pp. 42-53.

Bibtex

@article{1ea57c912c9c4b17b118364315dcb5d9,
title = "Integer programming methods for large-scale practical classroom assignment problems",
abstract = "In this paper we present an integer programming method for solving the Classroom Assignment Problem in University Course Timetabling. We introduce a novel formulation of the problem which generalises existing models and maintains tractability even for large instances. The model is validated through computational results based on our experiences at the University of Auckland, and on instances from the 2007 International Timetabling Competition. We also expand upon existing results into the computational difficulty of room assignment problems.",
keywords = "University course timetabling, Classroom assignment , Integer programming, Lexicograhic optimisation",
author = "Philips, {Antony E.} and Hamish Waterer and Matthias Ehrgott and Ryan, {David M.}",
note = " This is the author{\textquoteright}s review version of a work that was accepted for publication in Computers and Operations Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers and Operations Research, 53, 2015 DOI: 10.1016/j.cor.2014.07.012",
year = "2015",
month = jan,
doi = "10.1016/j.cor.2014.07.012",
language = "English",
volume = "53",
pages = "42--53",
journal = "Computers and Operations Research",
issn = "0305-0548",
publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - Integer programming methods for large-scale practical classroom assignment problems

AU - Philips, Antony E.

AU - Waterer, Hamish

AU - Ehrgott, Matthias

AU - Ryan, David M.

N1 - This is the author’s review version of a work that was accepted for publication in Computers and Operations Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers and Operations Research, 53, 2015 DOI: 10.1016/j.cor.2014.07.012

PY - 2015/1

Y1 - 2015/1

N2 - In this paper we present an integer programming method for solving the Classroom Assignment Problem in University Course Timetabling. We introduce a novel formulation of the problem which generalises existing models and maintains tractability even for large instances. The model is validated through computational results based on our experiences at the University of Auckland, and on instances from the 2007 International Timetabling Competition. We also expand upon existing results into the computational difficulty of room assignment problems.

AB - In this paper we present an integer programming method for solving the Classroom Assignment Problem in University Course Timetabling. We introduce a novel formulation of the problem which generalises existing models and maintains tractability even for large instances. The model is validated through computational results based on our experiences at the University of Auckland, and on instances from the 2007 International Timetabling Competition. We also expand upon existing results into the computational difficulty of room assignment problems.

KW - University course timetabling

KW - Classroom assignment

KW - Integer programming

KW - Lexicograhic optimisation

U2 - 10.1016/j.cor.2014.07.012

DO - 10.1016/j.cor.2014.07.012

M3 - Journal article

VL - 53

SP - 42

EP - 53

JO - Computers and Operations Research

JF - Computers and Operations Research

SN - 0305-0548

ER -