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.
Research on UAV Trajectory Planning Based on Artificial Bee Colony Algorithm
2021-06-04
3323863 byte
Conference paper
Electronic Resource
English
Trajectory planning for low attitude penetration based on improved ant colony algorithm
British Library Online Contents | 2006
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