The study of power planning for cyclists based on genetic algorithm

Sixuan Wu; Qiancheng Tan; Dewei Xu; Rui Mao

doi:10.1117/12.2685928

28 July 2023 The study of power planning for cyclists based on genetic algorithm

Sixuan Wu, Qiancheng Tan, Dewei Xu, Rui Mao

Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 127564N (2023) https://doi.org/10.1117/12.2685928
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China

Abstract

This paper studies the power curve of two types riders (the Time Trial Specialist and the Sprinter) and set up a multiobjective optimization model by taking the total energy consumed and the total time used by a rider during the race as objective functions. By using the genetic algorithm to solve the multi-objective optimization model, the total energy and total time as far as possible to get the optimal solution under the condition of small number. The number of the optimal solutions corresponding to the rider in the process of competition has the opportunity to go beyond the opponent's corner number. The number of the optimal solutions can determine the relationship between the rider’s position on the course and the power the rider applies. Combining 2021 Tokyo Olympic Games, the model is applied to the individual time trials of two types of riders.

Citation Download Citation

Sixuan Wu, Qiancheng Tan, Dewei Xu, and Rui Mao "The study of power planning for cyclists based on genetic algorithm", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 127564N (28 July 2023); https://doi.org/10.1117/12.2685928

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