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Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Authors: Burke, Edmund
Guo, Qiang
Kendall, Graham
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Title: A hyper-heuristic approach to strip packing problems
Editors: Schaefer, R
Cotta, C
Kolodziej, J
Rudolph, G
Citation: Burke E, Guo Q & Kendall G (2010) A hyper-heuristic approach to strip packing problems, Schaefer R, Cotta C, Kolodziej J, Rudolph G (ed.) Parallel Problem Solving from Nature, PPSN XI: 11th International Conference, Kraków, Poland, September 11-15, 2010, Proceedings, Part I, 11th International Conference on Parallel Problem Solving from Nature, PPSN XI, Kraków, Poland, 11.9.2010 - 15.9.2010, Heidelberg: Springer, pp. 465-474.
Issue Date: 2010
Series/Report no.: Lecture Notes in Computer Science, 6238
Conference Name: 11th International Conference on Parallel Problem Solving from Nature, PPSN XI
Conference Dates: 2010-09-11T00:00:00Z
Conference Location: Kraków, Poland
Abstract: In this paper we propose a genetic algorithm based hyper-heuristic for producing good quality solutions to strip packing problems. Instead of using just a single decoding heuristic, we employ a set of heuristics. This enables us to search a larger solution space without loss of efficiency. Empirical studies are presented on two-dimensional orthogonal strip packing problems which demonstrate that the algorithm operates well across a wide range of problem instances.
Type: Conference Paper
Status: Book Chapter: publisher version
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Affiliation: Deputy Principal's Office
University of Nottingham
University of Nottingham

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