Fuzzy multiple heuristic orderings for examination timetabling

In this paper, we address the issue of ordering exams by simultaneously considering two separate heuristics using fuzzy methods. Combinations of two of the following three heuristic orderings are employed: largest degree, saturation degree and largest enrolment. The fuzzy weight of an exam is used t...

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Main Authors: Asmuni, Hishammuddin, Burke, E. K., Garibaldi, J. M., McCollum, B.
Format: Article
Language:en
Published: Springer Verlag 2005
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Online Access:http://eprints.utm.my/6187/1/HishammuddinAsmuni2005_fuzzy_multiple_heuristic_ordering.pdf
http://eprints.utm.my/6187/
http://dx.doi.org/10.1007/11593577_19
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author Asmuni, Hishammuddin
Burke, E. K.
Garibaldi, J. M.
McCollum, B.
author_facet Asmuni, Hishammuddin
Burke, E. K.
Garibaldi, J. M.
McCollum, B.
author_sort Asmuni, Hishammuddin
building UTM Library
collection Institutional Repository
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
continent Asia
country Malaysia
description In this paper, we address the issue of ordering exams by simultaneously considering two separate heuristics using fuzzy methods. Combinations of two of the following three heuristic orderings are employed: largest degree, saturation degree and largest enrolment. The fuzzy weight of an exam is used to represent how difficult it is to schedule. The decreasingly ordered exams are sequentially chosen to be assigned to the last slot with least penalty cost value while the feasibility of the timetable is maintained throughout the process. Unscheduling and rescheduling exams is performed until all exams are scheduled. The proposed algorithm has been tested on 12 benchmark examination timetabling data sets and the results show that this approach can produce good quality solutions. Moreover, there is significant potential to extend the approach by including a larger range of heuristics.
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spelling my.utm.eprints-61872010-06-01T15:40:04Z http://eprints.utm.my/6187/ Fuzzy multiple heuristic orderings for examination timetabling Asmuni, Hishammuddin Burke, E. K. Garibaldi, J. M. McCollum, B. QA75 Electronic computers. Computer science In this paper, we address the issue of ordering exams by simultaneously considering two separate heuristics using fuzzy methods. Combinations of two of the following three heuristic orderings are employed: largest degree, saturation degree and largest enrolment. The fuzzy weight of an exam is used to represent how difficult it is to schedule. The decreasingly ordered exams are sequentially chosen to be assigned to the last slot with least penalty cost value while the feasibility of the timetable is maintained throughout the process. Unscheduling and rescheduling exams is performed until all exams are scheduled. The proposed algorithm has been tested on 12 benchmark examination timetabling data sets and the results show that this approach can produce good quality solutions. Moreover, there is significant potential to extend the approach by including a larger range of heuristics. Springer Verlag 2005 Article PeerReviewed application/pdf en http://eprints.utm.my/6187/1/HishammuddinAsmuni2005_fuzzy_multiple_heuristic_ordering.pdf Asmuni, Hishammuddin and Burke, E. K. and Garibaldi, J. M. and McCollum, B. (2005) Fuzzy multiple heuristic orderings for examination timetabling. Lecture Notes in Computer Science: Practice and Theory of Automated Timetabling V, 3616 . pp. 334-353. ISSN 0302-9743 (Print) 1611-3349 (Online) http://dx.doi.org/10.1007/11593577_19 10.1007/11593577_19
spellingShingle QA75 Electronic computers. Computer science
Asmuni, Hishammuddin
Burke, E. K.
Garibaldi, J. M.
McCollum, B.
Fuzzy multiple heuristic orderings for examination timetabling
title Fuzzy multiple heuristic orderings for examination timetabling
title_full Fuzzy multiple heuristic orderings for examination timetabling
title_fullStr Fuzzy multiple heuristic orderings for examination timetabling
title_full_unstemmed Fuzzy multiple heuristic orderings for examination timetabling
title_short Fuzzy multiple heuristic orderings for examination timetabling
title_sort fuzzy multiple heuristic orderings for examination timetabling
topic QA75 Electronic computers. Computer science
url http://eprints.utm.my/6187/1/HishammuddinAsmuni2005_fuzzy_multiple_heuristic_ordering.pdf
http://eprints.utm.my/6187/
http://dx.doi.org/10.1007/11593577_19
url_provider http://eprints.utm.my/