Domain transformation approach to deterministic optimization of examination timetables

In this paper we introduce a new optimization method for the examinations scheduling problem. Rather than attempting direct optimization of assignments of exams to specific time-slots, we perform permutations of slots and reassignments of exams upon the feasible (but not optimal) schedules obtained...

Full description

Bibliographic Details
Main Authors: Abdul Rahim, Siti, Bargiela, Andrzej, Qu, Rong
Format: Article
Published: Sciedu Press 2013
Subjects:
Online Access:https://eprints.nottingham.ac.uk/28280/
_version_ 1848793541888704512
author Abdul Rahim, Siti
Bargiela, Andrzej
Qu, Rong
author_facet Abdul Rahim, Siti
Bargiela, Andrzej
Qu, Rong
author_sort Abdul Rahim, Siti
building Nottingham Research Data Repository
collection Online Access
description In this paper we introduce a new optimization method for the examinations scheduling problem. Rather than attempting direct optimization of assignments of exams to specific time-slots, we perform permutations of slots and reassignments of exams upon the feasible (but not optimal) schedules obtained by the standard graph colouring method with Largest Degree ordering. The proposed optimization methods have been evaluated on the University of Toronto, University of Nottingham and International Timetabling Competition (ITC2007) datasets. It is shown that the proposed method delivers competitive results compared to other constructive methods in the timetabling literature on both the Nottingham and Toronto datasets, and it maintains the same optimization pattern of the solution improvement on the ITC2007 dataset. A deterministic pattern obtained for all benchmark datasets, makes the proposed method more understandable to the users.
first_indexed 2025-11-14T19:01:57Z
format Article
id nottingham-28280
institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T19:01:57Z
publishDate 2013
publisher Sciedu Press
recordtype eprints
repository_type Digital Repository
spelling nottingham-282802020-05-04T20:19:45Z https://eprints.nottingham.ac.uk/28280/ Domain transformation approach to deterministic optimization of examination timetables Abdul Rahim, Siti Bargiela, Andrzej Qu, Rong In this paper we introduce a new optimization method for the examinations scheduling problem. Rather than attempting direct optimization of assignments of exams to specific time-slots, we perform permutations of slots and reassignments of exams upon the feasible (but not optimal) schedules obtained by the standard graph colouring method with Largest Degree ordering. The proposed optimization methods have been evaluated on the University of Toronto, University of Nottingham and International Timetabling Competition (ITC2007) datasets. It is shown that the proposed method delivers competitive results compared to other constructive methods in the timetabling literature on both the Nottingham and Toronto datasets, and it maintains the same optimization pattern of the solution improvement on the ITC2007 dataset. A deterministic pattern obtained for all benchmark datasets, makes the proposed method more understandable to the users. Sciedu Press 2013 Article PeerReviewed Abdul Rahim, Siti, Bargiela, Andrzej and Qu, Rong (2013) Domain transformation approach to deterministic optimization of examination timetables. Artificial Intelligence Research, 2 (1). pp. 122-138. ISSN 1927-6974 Examination timetabling Optimization Slots permutations Reassigning exams http://www.sciedu.ca/journal/index.php/air/article/view/1664 doi:10.5430/air.v2n1p122 doi:10.5430/air.v2n1p122
spellingShingle Examination timetabling
Optimization
Slots permutations
Reassigning exams
Abdul Rahim, Siti
Bargiela, Andrzej
Qu, Rong
Domain transformation approach to deterministic optimization of examination timetables
title Domain transformation approach to deterministic optimization of examination timetables
title_full Domain transformation approach to deterministic optimization of examination timetables
title_fullStr Domain transformation approach to deterministic optimization of examination timetables
title_full_unstemmed Domain transformation approach to deterministic optimization of examination timetables
title_short Domain transformation approach to deterministic optimization of examination timetables
title_sort domain transformation approach to deterministic optimization of examination timetables
topic Examination timetabling
Optimization
Slots permutations
Reassigning exams
url https://eprints.nottingham.ac.uk/28280/
https://eprints.nottingham.ac.uk/28280/
https://eprints.nottingham.ac.uk/28280/