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dc.contributor.authorWagner, M.en
dc.identifier.citationFrontiers in Applied Mathematics and Statistics, 2016; 2:1-10en
dc.description.abstractTeam 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.en
dc.description.statementofresponsibilityMarkus Wagneren
dc.publisherFrontiers Research Foundationen
dc.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.en
dc.subjectMulti-objective optimization; bilevel problems; hierarchical programming; nested algorithms; track cyclingen
dc.titleNested multi- and many-objective optimisation of team track pursuit cyclingen
dc.typeJournal articleen
dc.identifier.orcidWagner, M. [0000-0002-3124-0061]en
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