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

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Petrovic, Sanja and Qu, Rong (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 Technologies. IOS Press, pp. 336-340.

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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.

Item Type: Book Section
RIS ID: https://nottingham-repository.worktribe.com/output/1022918
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User: Qu, Rong
Date Deposited: 12 Dec 2005
Last Modified: 04 May 2020 20:32
URI: https://eprints.nottingham.ac.uk/id/eprint/350

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