Title :
Cooperative path planning for multiple UCAVs using an AIS-ACO hybrid approach
Author :
Jiangsong Lu ; Nan Wang ; Jing Chen ; Fei Su
Author_Institution :
Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
Multi-UCAV cooperative path planning is an extremely complex problem in military applications. This paper establishes a cooperative planning model, in which diverse cooperative constraints are considered. A hybrid algorithm based on artificial immune systems (AIS) and ant colony optimization (ACO) is proposed. The algorithm maintains diversity of candidate solution through the introduction of mutation operation in AIS. The simulation results demonstrate the efficacy of the algorithm.
Keywords :
aircraft control; artificial immune systems; military aircraft; path planning; remotely operated vehicles; AIS-ACO hybrid approach; ant colony optimization; artificial immune systems; cooperative planning model; diverse cooperative constraints; hybrid algorithm; military applications; multiUCAV cooperative path planning; unmanned combat aerial vehicle; Ant colony optimization; Convergence; Immune system; Optimization; Path planning; Planning; Timing; ant colony optimization; artificial immune system; cooperative constraints; cooperative path planning;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6023113
