SANJA PETROVIC SANJA.PETROVIC@NOTTINGHAM.AC.UK
Professor of Operational Research
Case-Based Reasoning as a Heuristic Selector in a Hyper-Heuristic for Course Timetabling Problems
Petrovic, Sanja; Qu, Rong
Authors
RONG QU rong.qu@nottingham.ac.uk
Professor of Computer Science
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.
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 Technologies. IOS Press
Publication Date | Jan 1, 2002 |
---|---|
Deposit Date | Dec 12, 2005 |
Publicly Available Date | Mar 29, 2024 |
Publisher | IOS Press |
Peer Reviewed | Peer Reviewed |
Book Title | Knowledge-Based Intelligent Information Engineering Systems and Allied Technologies |
Public URL | https://nottingham-repository.worktribe.com/output/1022918 |
Files
rxqKES02.pdf
(49 Kb)
PDF
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