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

Volume

8

fYear

2011

fDate

12-14 Aug. 2011

Firstpage

4301

Lastpage

4305

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/EMEIT.2011.6023113

Filename

6023113