Optimal Programming of Cyclist Power Allocation Based on Genetic Algorithm

Abstract

In this paper, we have analyzed the way of bicycle road races. By establishing relevant models, the power curves of different types of athletes are obtained. Firstly, we use the least-squares method to optimize the function, and introduce two different types of passengers and get specific parameters. Then, by constructing the fatigue degree, energy consumption model and cyclic motion model, the genetic algorithm is used to solve the problem, and the optimal energy distribution of different athletes on different tracks is obtained. In addition, considering the influence of uncertain factors brought by the weather and other environments, the scheme that the driver and the directeur sportif would obtain the local optimal solution and actively change the power distribution is analyzed, and the process of the team time trial is studied. Finally, the generality and sensitivity of the model are tested, and the advantages and disadvantages of the model are evaluated.