Collaborative Path Planning of Multiple UAV Based on Ant Colony Algorithm
Mingqian Wang · Jisuanji gongcheng · 2011
Aiming at the collaborative path planning with multiple Unmanned Aerial Vehicle(UAV) and targets,a method based on improved Ant Colony Algorithm(ACA) is presented.Security,voyage and target return of the route are considered synthetically in the method.A series of schemes such as dynamic pheromone decay parameter,direction guidance and preconcerted voyage are proposed to improve the convergence and searching ability of the algorithm.Simulation results verify that the method can gain satisfying route plan and can provide some reference value to related researchers.