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

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 s...

Full description

Bibliographic Details
Main Authors: Petrovic, Sanja, Qu, Rong
Format: Book Section
Published: IOS Press 2002
Online Access:https://eprints.nottingham.ac.uk/350/
_version_ 1848790397390684160
author Petrovic, Sanja
Qu, Rong
author_facet Petrovic, Sanja
Qu, Rong
author_sort Petrovic, Sanja
building Nottingham Research Data Repository
collection Online Access
description 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.
first_indexed 2025-11-14T18:11:58Z
format Book Section
id nottingham-350
institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T18:11:58Z
publishDate 2002
publisher IOS Press
recordtype eprints
repository_type Digital Repository
spelling nottingham-3502020-05-04T20:32:26Z https://eprints.nottingham.ac.uk/350/ Case-Based Reasoning as a Heuristic Selector in a Hyper-Heuristic for Course Timetabling Problems Petrovic, Sanja Qu, Rong 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. IOS Press 2002 Book Section PeerReviewed 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.
spellingShingle Petrovic, Sanja
Qu, Rong
Case-Based Reasoning as a Heuristic Selector in a Hyper-Heuristic for Course Timetabling Problems
title Case-Based Reasoning as a Heuristic Selector in a Hyper-Heuristic for Course Timetabling Problems
title_full Case-Based Reasoning as a Heuristic Selector in a Hyper-Heuristic for Course Timetabling Problems
title_fullStr Case-Based Reasoning as a Heuristic Selector in a Hyper-Heuristic for Course Timetabling Problems
title_full_unstemmed Case-Based Reasoning as a Heuristic Selector in a Hyper-Heuristic for Course Timetabling Problems
title_short Case-Based Reasoning as a Heuristic Selector in a Hyper-Heuristic for Course Timetabling Problems
title_sort case-based reasoning as a heuristic selector in a hyper-heuristic for course timetabling problems
url https://eprints.nottingham.ac.uk/350/