DocumentCode
2251500
Title
A hybrid route planning algorithm of single aerial vehicle attacking multiple targets
Author
Luo, Quan ; Liu, Zhong ; Qiao, Shi-dong
Author_Institution
Key Lab. of Sci. & Technol. for Nat. Defense of C4ISR Technol., Nat. Univ. of Defense Technol., Changsha, China
Volume
3
fYear
2010
fDate
11-14 July 2010
Firstpage
1532
Lastpage
1537
Abstract
It´s an important tactical operation for single aerial vehicle to attack multiple targets in one flight, and its flight route has great impact on the attacking effect and its own safety. To optimize this flight route, a new hybrid algorithm was presented for the aerial vehicle, that is : firstly, use the Dynamic Programming(DP) to search routes in order to reduce the searching times and improve the efficiency of search; then use the improved Ant Colony algorithm(ACO) to select and order the targets. Simulations shown that it´s more quickly to obtain a reasonable attacking plan with the algorithm presented, which means the algorithm is effective.
Keywords
aircraft; dynamic programming; path planning; target tracking; ant colony algorithm; dynamic programming; hybrid route planning algorithm; multiple target attacking; reasonable attacking plan; single aerial vehicle; Algorithm design and analysis; Cybernetics; Heuristic algorithms; Machine learning; Planning; Turning; Vehicles; Ant colony algorithm(ACO); Dynamic programming(DP); Route planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-6526-2
Type
conf
DOI
10.1109/ICMLC.2010.5580823
Filename
5580823
Link To Document