Research on UAV Trajectory Planning Based on Artificial Bee Colony Algorithm

With the increasing status of Unmanned Aerial Vehicle (UAV) in the modern battlefield, the problem of its trajectory planning has become a research hotspot in the academic world, and the Artificial Bee Colony Algorithm(ABC) is simple to operate, fewer parameters, easy to implement, and robust. Strong, it has certain advantages in solving combined optimization problems such as UAV trajectory planning. This article mainly summarizes the current applied research status of the ABC algorithm in UAV trajectory planning, proposes the following solution to the limitations of the algorithm, and provides a reference for future UAV trajectory planning problems.