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Evolutionary Algorithm in Java to find the best pacing and transition strategy of a track cycling race

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Evolutionary Algorithm in Java

Team Pursuit Track Cycling Simulator

Used in: http://cs.adelaide.edu.au/~optlog/research/cycling.php Paper: Evolving Pacing Strategies for Team Pursuit Track Cycling Markus Wagner, Jareth Day, Diora Jordan, Trent Kroeger, and Frank Neumann arxiv: http://arxiv.org/abs/1104.0775 Springer: http://link.springer.com/chapter/10.1007/978-1-4614-6322-1_4 slides (MIC 2011): https://cs.adelaide.edu.au/users/honours/ec/2011-s2/cycling.pdf Solution representation:

  • Women's event (3 cyclists, all have to reach the finish): 23 integers for the pacing part, 22 booleans for the transition part

SDK: 11.0.4

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Evolutionary Algorithm in Java to find the best pacing and transition strategy of a track cycling race

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