Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/118750
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Type: Journal article
Title: Nested multi- and many-objective optimisation of team track pursuit cycling
Author: Wagner, M.
Citation: Frontiers in Applied Mathematics and Statistics, 2016; 2:1-10
Publisher: Frontiers Research Foundation
Issue Date: 2016
ISSN: 2297-4687
2297-4687
Statement of
Responsibility: 
Markus Wagner
Abstract: Team pursuit track cycling is an elite sport that is part of the Summer Olympics. Teams race against each other on special tracks called velodromes. In this article, we create racing strategies that allow the team to complete the race in as little time as possible. In addition to the traditional minimization of the race times, we consider the amount of energy that the riders have left at the end of the race. For the team coach this extension can have the benefit that a diverse set of trade-off strategies can be considered. For the optimization approach, the added diversity can help to get over local optima. To solve this problem, we apply different state-of-the-art algorithms with problem-specific variation operators. It turns out that nesting algorithms is beneficial for achieving fast strategies reliably.
Keywords: Multi-objective optimization; bilevel problems; hierarchical programming; nested algorithms; track cycling
Rights: © 2016 Wagner. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
RMID: 0030108563
DOI: 10.3389/fams.2016.00017
Grant ID: http://purl.org/au-research/grants/arc/DE160100850
Published version: https://www.frontiersin.org/articles/10.3389/fams.2016.00017/full?&utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&field=&journalName=Frontiers_in_Applied_Mathematics_and_Statistics&id=215141
Appears in Collections:Computer Science publications

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