Solving high school timetabling problems worldwide using selection hyper-heuristics

Ahmed, Leena N. and Özcan, Ender and Kheiri, Ahmed (2015) Solving high school timetabling problems worldwide using selection hyper-heuristics. Expert Systems with Applications, 42 (13). pp. 5463-5471. ISSN 0957-4174

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Abstract

High school timetabling is one of those recurring NP-hard real-world combinatorial optimisation problems that has to be dealt with by many educational institutions periodically, and so has been of interest to practitioners and researchers. Solving a high school timetabling problem requires scheduling of resources and events into time slots subject to a set of constraints. Recently, an international competition, referred to as ITC 2011 was organised to determine the state-of-the-art approach for high school timetabling. The problem instances, obtained from eight different countries across the world used in this competition became a benchmark for further research in the field. Selection hyper-heuristics are general-purpose improvement methodologies that control/mix a given set of low level heuristics during the search process. In this study, we evaluate the performance of a range of selection hyper-heuristics combining different reusable components for high school timetabling. The empirical results show the success of the approach which embeds an adaptive great-deluge move acceptance method on the ITC 2011 benchmark instances. This selection hyper-heuristic ranks the second among the previously proposed approaches including the ones competed at ITC 2011.

Item Type:
Journal Article
Journal or Publication Title:
Expert Systems with Applications
Additional Information:
This is the author’s version of a work that was accepted for publication in Expert Systems with Applications. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Expert Systems with Applications, 42 (13), 2015 DOI: 10.1016/j.eswa.2015.02.059
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2200
Subjects:
?? adaptive move acceptanceadaptive operator selectioncombinatorial optimisationconstraint satisfactioneducational timetablinggreat delugeengineering(all)computer science applicationsartificial intelligence ??
ID Code:
123873
Deposited By:
Deposited On:
06 Mar 2018 14:38
Refereed?:
Yes
Published?:
Published
Last Modified:
31 Dec 2023 00:52