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Fuzzy Multiple Heuristic Orderings for Examination Timetabling

  • Conference paper
Practice and Theory of Automated Timetabling V (PATAT 2004)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3616))

Abstract

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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Author information

Authors and Affiliations

  1. School of Computer Science and Information Technology, University of Nottingham, Jubilee Campus, Wollaton Road, Nottingham, NG8 1BB, UK

    Hishammuddin Asmuni, Edmund K. Burke & Jonathan M. Garibaldi

  2. School of Computer Science, Queen’s University Belfast, Belfast, BT7 1NN, UK

    Barry McCollum

Authors
  1. Hishammuddin Asmuni
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  2. Edmund K. Burke
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  3. Jonathan M. Garibaldi
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  4. Barry McCollum
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Editor information

Editors and Affiliations

  1. Automated Scheduling, Optimisation and Planning Group, School of Computer Science & IT, University of Nottingham, NG8 1BB, Nottingham, UK

    Edmund Burke

  2. Tepper School of Business, Carnegie Mellon University, 15213, Pittsburgh, PA, USA

    Michael Trick

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Asmuni, H., Burke, E.K., Garibaldi, J.M., McCollum, B. (2005). Fuzzy Multiple Heuristic Orderings for Examination Timetabling. In: Burke, E., Trick, M. (eds) Practice and Theory of Automated Timetabling V. PATAT 2004. Lecture Notes in Computer Science, vol 3616. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11593577_19

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  • DOI: https://doi.org/10.1007/11593577_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30705-1

  • Online ISBN: 978-3-540-32421-8

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