UAV Path Planning with Multiagent Ant Colony System Approach

In this study, a solution approach of the problem of globally optimal trajectory planning of Unmanned Aerial Vehicle (UAV) has been proposed modeling as Ant Colony Optimization (ACO) with a multiagent structure. The solution of UAV's route problem in environments that have a large number of control points and obstacles such as radars and mountain is very complex and can be solved with the help of the different optimization algorithms. The proposed method is modeled on Netlogo, an agent-based programming environment. Simulation results show that the ACO greatly optimize the route length and reduce the average flight time for UAV's route planning.