An Improved Ant Colony Algorithm for Path Planning of UAVs
Zhengping Wang · Aeronautical Computing Technique · 2006
In order to improve operational efficiency and survival probability,the optimal route of an unmanned air vehicle(UAV) should be designed before the UAV performs a mission.For this question,an ant colony algorithm is used and is improved for route optimizing of UAV.Measures of keeping optimization,adaptively selecting and adaptively adjusting are applied,which is a better path at higher convergence speed.Finally the algorithm is implemented,and the results show that it's a better path-planning algorithm.