Smooth trajectory planning of an unmanned aerial vehicle using an artificial bee colony algorithm
Zhenyu Zhao · Caai Transactions on Intelligent Systems · 2011
Trajectory is a key issue for an unmanned aerial vehicle(UAV),which aims to obtain an optimal or sub-optimal trajectory within proper time.The artificial bee colony(ABC) is a new algorithm based on how a bee colony finds food.On the basis of introducing the basic principle of the ABC,and the description of threatening models of a UAV,the UAV trajectory planning was transformed into an optimization problem through modeling.Then the optimal solution of the multi-dimensional function was given by taking advantage of the artificial bee colony algorithm.Finally,the smoothing strategy was adopted to obtain a feasible path.The feasibility and effectiveness of the proposed approach was verified by experimental results.