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A Case-Based Reasoning Approach to Formulating University Timetables Using Genetic Algorithms

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3681))

Abstract

This paper presents a technique to construct generic university timetables using case-based reasoning (CBR) with genetic algorithms (GAs). The case-based reasoning methodology allows a past memory of timetables to be stored and accessed via retrieval mechanisms, finding a past solution most fitting to the new timetable input problem. In the instance that a past solution is not well suited to the new timetable requirements, a genetic algorithm is employed to adapt the past timetables in the case memory. The hybrid technique used implements a learning mechanism to aid in the revision and adaptation of new timetable solutions. The focus of this technique is a feedback mechanism which allows the system to diagnose the violation of hard-constraints fitted to timetable creation.

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Author information

Authors and Affiliations

  1. La Trobe University, Bundoora, 3086, Australia

    Alicia Grech & Julie Main

Authors
  1. Alicia Grech
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  2. Julie Main
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, Moulsecoomb, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Grech, A., Main, J. (2005). A Case-Based Reasoning Approach to Formulating University Timetables Using Genetic Algorithms. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552413_12

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  • DOI: https://doi.org/10.1007/11552413_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28894-7

  • Online ISBN: 978-3-540-31983-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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