Finite stage MDP method and algorithm for task allocation in UCAVS

Peng He, De Yun Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Multi-UCAV (Unmanned Combat Air Vehicle) UAV operations task allocation is an important part of decision-making. It is also for solving a class of difficult combinatorial optimization problem for which there is no mature and high effective solving schemes. The problem of task allocation can be treated as grading sequence decision programming by Markov decision process (MDP), and the single integer coded method is used for current stage. The solution algorithm based on finite phase MDP is also proposed in the paper. The simulation results show that the computing rate and precision achieve well in solving multi-UCAV task allocation problem using this algorithm.

Original languageEnglish
Title of host publicationProceedings of the 2012 International Conference on Communication, Electronics and Automation Engineering
PublisherSpringer Verlag
Pages1141-1147
Number of pages7
ISBN (Print)9783642316975
DOIs
StatePublished - 2013

Publication series

NameAdvances in Intelligent Systems and Computing
Volume181 AISC
ISSN (Print)2194-5357

Keywords

  • combinatorial optimization
  • Markov decision
  • task allocation
  • unmanned combat aircraft

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