Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/15746
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Author(s): Burke, Edmund
Guo, Qiang
Kendall, Graham
Contact Email: e.k.burke@stir.ac.uk
Title: A hyper-heuristic approach to strip packing problems
Editor(s): Schaefer, R
Cotta, C
Kolodziej, J
Rudolph, G
Citation: Burke E, Guo Q & Kendall G (2010) A hyper-heuristic approach to strip packing problems. In: Schaefer R, Cotta C, Kolodziej J & Rudolph G (eds.) Parallel Problem Solving from Nature, PPSN XI: 11th International Conference, Kraków, Poland, September 11-15, 2010, Proceedings, Part I. Lecture Notes in Computer Science, 6238. 11th International Conference on Parallel Problem Solving from Nature, PPSN XI, Kraków, Poland, 11.09.2010-15.09.2010. Heidelberg: Springer, pp. 465-474. http://link.springer.com/chapter/10.1007/978-3-642-15844-5_47#
Issue Date: 2010
Date Deposited: 3-Jul-2013
Series/Report no.: Lecture Notes in Computer Science, 6238
Conference Name: 11th International Conference on Parallel Problem Solving from Nature, PPSN XI
Conference Dates: 2010-09-11 - 2010-09-15
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.
Status: VoR - Version of Record
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.
URL: http://link.springer.com/chapter/10.1007/978-3-642-15844-5_47#
Licence URL(s): http://www.rioxx.net/licenses/under-embargo-all-rights-reserved

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