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https://hdl.handle.net/2440/74907
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Type: | Conference paper |
Title: | Evolving pacing strategies for team pursuit track cycling |
Author: | Wagner, M. Day, J. Jordan, C. Kroeger, T. Neumann, F. |
Citation: | Advances in Metaheuristics, 2013 / Luca Di Gaspero, Andrea Schaerf, Thomas Stützle (eds.): pp.61-76 |
Publisher: | Springer |
Publisher Place: | New York |
Issue Date: | 2013 |
ISBN: | 9781461463214 |
ISSN: | 1387-666X |
Conference Name: | Metaheuristics International Conference (9th : 2011 : Udine, Italy) |
Statement of Responsibility: | Markus Wagner, Jareth Day, Diora Jordan, Trent Kroeger, Frank Neumann |
Abstract: | Team pursuit track cycling is a bicycle racing sport held on velodromes and is part of the Summer Olympics. It involves the use of strategies to minimize the overall time that a team of cyclists needs to complete a race. We present an optimisation framework for team pursuit track cycling and show how to evolve strategies using metaheuristics for this interesting real-world problem. Our experimental results show that these heuristics lead to significantly better strategies than state-of-art strategies that are currently used by teams of cyclists. |
Rights: | © Springer Science+Business Media New York 2013 |
DOI: | 10.1007/978-1-4614-6322-1_4 |
Description (link): | http://www.springer.com/business+%26+management/operations+research/book/978-1-4614-6321-4 |
Published version: | http://dx.doi.org/10.1007/978-1-4614-6322-1_4 |
Appears in Collections: | Aurora harvest Computer Science publications |
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