Bicycle driving power allocation model based on simulated annealing algorithm

The development of road bicycles has a long history, cyclists always hope to complete the race in the shortest time on a fixed track, and the power distribution of the rider will affect the time to finish the race. In this thesisa single-objective optimization problem is established. First, according to the power distribution model, the optimal power distribution is obtained; secondly, the number, duration, location, and size of deviation from the target are set. Through the control variable method, the constraint condition is determined as the process conditionFor the team competition problem, we established a formation transformation model to obtain the influence of wind resistance power on different riders in different positions of the team. According to the established global power- time matching model, we perform linear weighting on the two models, integrate them into a final single optimization objective, write the differential equation after difference, and finally establish an optimization model targeting this single objective, using the simulated annealing algorithm