Unmanned aerial vehicle path planning method based on football team training algorithm

Aiming at the optimal solution problem of unmanned aerial vehicle path planning, the current novel metaheuristic algorithm (football team training algorithm) was applied to solve the problem of unmanned aerial vehicle path planning. First of all, it is to transform algorithm fitness function to unmanned aerial vehicle path cost. Then, the three stages of collective training, group training and individual extra training of the algorithm were adjusted. Finally, the flight path obtained by the solution is smoothed and the final flight path of the unmanned aerial vehicle is obtained. Simulation results show the algorithm can be applied to solve the problem of unmanned aerial vehicle path planning, and the algorithm has good convergence.