Real-time Dynamic Track Planning of Multi-UAV Formation Based on Improved Artificial Bee Colony Algorithm
Guozun Tian, Lan Zhang, Xin Bai, Bing Wang · 2018
Aiming at the Quad-rotor UAV formation in the environment of dynamic threats, improved artificial bee colony (IABC) algorithm was suggested in the real-time track planning because of its fewer control parameters and faster convergence. The simulation results show that the track planning based on IABC algorithm is faster than that based on ant colony optimization (ACO) algorithm in avoiding threats, and the real-time dynamic track planning based on IABC is effective in scenarios of the fixed and unfixed multi-UAV formation faced with dynamic threats.