Multi-UCAV Air Combat Task Assignment under Uncertain Information Environment

Xia Chen; De Hui Wang

doi:10.4028/www.scientific.net/AMM.494-495.1098

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 494-495Multi-UCAV Air Combat Task Assignment under...

Multi-UCAV Air Combat Task Assignment under Uncertain Information Environment

Abstract:

For UAV air combat task assignment problem, this paper presents an analysis method. Firstly, we analyzes the unmanned combat situation, establish the UAV air combat situation advantage function and interval information combat task allocation model. And then put forward multi-UAV air combat decision method of the discrete particle swarm optimization algorithm based on interval number sequence. Finally, we carry on the simulation, the simulation results show that the algorithm can effectively and reasonably solve the problem of multi-UAV air combat decision.

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Periodical:

Applied Mechanics and Materials (Volumes 494-495)

Pages:

1098-1101

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.494-495.1098

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Online since:

February 2014

Authors:

Xia Chen*, De Hui Wang

Keywords:

Discrete Particle Swarm Optimization, Interval Number, Task Allocation

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* - Corresponding Author

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