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 :
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