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Case-Based Reasoning as a Heuristic Selector in a Hyper-Heuristic for Course Timetabling Problems

Petrovic, Sanja; Qu, Rong

Authors

Sanja Petrovic

Rong Qu

Abstract

This paper studies Knowledge Discovery (KD) using Tabu Search and Hill Climbing within Case-Based Reasoning (CBR) as a hyper-heuristic method for course timetabling problems. The aim of the hyper-heuristic is to choose the best heuristic(s) for given timetabling problems according to the knowledge stored in the case base. KD in CBR is a 2-stage iterative process on both case representation and the case base. Experimental results are analysed and related research issues for future work are discussed.

Publication Date Jan 1, 2002
Publisher IOS Press
Peer Reviewed Peer Reviewed
Book Title Knowledge-Based Intelligent Information Engineering Systems and Allied Technologies
Institution Citation Petrovic, S., & Qu, R. (2002). Case-Based Reasoning as a Heuristic Selector in a Hyper-Heuristic for Course Timetabling Problems. In Knowledge-Based Intelligent Information Engineering Systems and Allied TechnologiesIOS Press
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf




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