Application of improved cuckoo search algorithm to path planning unmanned aerial vehicle

Abstract

Path planning of an Unmanned Aerial Vehicle (UAV) is NP complete problem. It is a hard problem to solve, especially when the number of control points is high and the number of radar is more, even more so. At present, the intelligent algorithm becomes the mainstream method of UAV route planning problem. For this question, this paper proposed an improved hybrid cuckoo search algorithm, combined with the crossover and mutation operator of genetic algorithm. Simulation results show that when the number of control points is high and the number of radar is more, this method can offer a safe and effective path planning for unmanned aerial vehicle.