Title :
An improved ant colony algorithm for UAV route planning in complex battlefield environment
Author :
Su, Fei ; Li, Yuan ; Shen Lincheng
Author_Institution :
Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
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.
Keywords :
military aircraft; military computing; optimisation; path planning; remotely operated vehicles; UAV route planning; ant colony algorithm; battlefield environment; cost estimate measure; pheromone diffuse mechanism; state transition rule; unmanned aerial vehicle; Algorithm design and analysis; Automotive engineering; Costs; Educational institutions; Mechatronics; State estimation; Technology planning; Unmanned aerial vehicles; Ant Colony Algorithm; Cost Estimate; Pheromone Diffuse; Route Planning; Unmanned Aerial Vehicle;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5192623
