An Improved Ant Colony Algorithm for UAV Route Planning in Complez Battlefield Environment

摘要：

Ant colony algorithm is applied to solve UAV (Unmanned Aerial Vehicle) route planning in complex battle field environment. According to the properties of battlefield, an integrated cost estimate measure is presented, which takes the distance of UAV route and threats into account. Then a ant colony algorithm for UAV route planning is put forward to solve the problem. According to the characteristics of the UAV route planning in complex battlefield environment, state transition rules based on integrated cost estimation is designed, and the pheromone diffuse mechanism is introduced to improve the performance of algorithm. The simulation results demonstrate the feasibility and efficiency of our algorithm.

关键词： Unmanned Aerial Vehicle Route Planning Cost Estimate Ant Colony Algorithm Pheromone Diffuse

作者: SU Fei LI Yuan SHEN Lincheng

作者单位: College of Mechatronic Engineering and AutomationNational University of Defense Technology, Changsha 410073

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 3568-3573

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）