UAV Path Planning Based on Improved QUATRE Algorithm in Different Environments

With the expansion of the use of UAVs, autonomous flight of UAVs has become the focus of research in recent years. The key to realizing autonomous flight of UAVs and improving flight safety and stability is the choice of the flight path. Therefore, flight path planning has become the focus of research on autonomous flight of UAVs. QUATRE-DEG algorithm is a new hybrid optimization algorithm based on the QUATRE algorithm. The algorithm not only establishes a two-population mutation strategy, but also uses the global optimal solution and the global suboptimal solution to guide the evolution of the individual. In this study, the QUATRE-DEG algorithm is used to solve the problem of UAV path planning. Firstly, experiments are carried out by simulating two environments with different complexity. Then, it is compared with some typical algorithms, QUATRE variants, and ABC variants. Finally, the competitiveness of using the QUATRE-DEG algorithm to solve the UAV path planning problem is verified.