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An adaptive differential evolution algorithm applied to highway network capacity optimization

Koh, Andrew (2009) An adaptive differential evolution algorithm applied to highway network capacity optimization. In: Avineri, E., Köppen, M., Dahal, K., Sunitiyoso, Y. and Roy, R., (eds.) Applications of Soft Computing: Updating the State of the Art. 12th On-line World Conference on Soft Computing in Industrial Applications, October 16 to 26 2007, Cyberspace. Advances in Intelligent and Soft Computing (52). Springer , Berlin . ISBN 978-3-540-88078-3

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Differential Evolution (DE) is a simple heuristic for global search. However, it is sensitive to certain control parameters and may not perform well if these parameters are not adjusted to suit the problems being optimized. Recent research has reported on methods to endogenously tune these control parameters during the search process. In this work, we develop and apply two DE variants as solution algorithms for continuous network design problems and illustrate with examples from the highway transportation literature.

Item Type: Proceedings Paper
Keywords: Continuous Network Design Problem, Differential Evolution, Bi-Level Programming
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds)
Funding Information:
FunderGrant number
Depositing User: MR ANDREW KOH
Date Deposited: 09 Feb 2009 17:39
Last Modified: 08 Feb 2013 17:05
Published Version: http://dx.doi.org/10.1007/978-3-540-88079-0_21
Status: Published
Publisher: Springer
Refereed: Yes
Identification Number: 10.1007/978-3-540-88079-0_21
URI: http://eprints.whiterose.ac.uk/id/eprint/7656

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