Research on Path Planning of UAV Based on Improved ABC Algorithm
XU Liu-sh · Fire Control and Command Control · 2015
It is critical for autonomous planning of Unmanned Aerial Vehicles(UAV)that how to plan the flight path quickly which fulfills some constraints. This paper applies improved Artificial Bee Colony(ABC) algorithm to solve the problem of UAV path planning and introduce the idea of Differential Evolution(DE) algorithm in the scout bee phase of ABC algorithm. Compared with the standard ABC algorithm,it shows that this algorithm can effectively accelerate the convergence speed and improve the accuracy of the optimal path through the simulation experiments,which proves the feasibility,effectiveness and robustness of this method on the path planning and other high-dimensional complex function optimization.