• DocumentCode
    3075691
  • Title

    Modeling and Simulation of UCAV Swarm Cooperative Task Assignment

  • Author

    Zhi-fu, Shi ; Bo, Yang ; Hai-yan, Liu

  • Volume
    4
  • fYear
    2010
  • fDate
    4-6 June 2010
  • Firstpage
    308
  • Lastpage
    311
  • Abstract
    For control and optimizes the multiple uninhabited combat air vehicle(UCAV) cooperative air-to-ground combat task assignment, the model of UCAV team air-to-ground attack was built firstly based on the variable and constraints. The concept of Distance Discount Factor (DDF) has been introduced to address the fact that targeting close but less significant units could be more rewarding than targeting far but more significant units. The Bayesian optimization algorithm is given out to deal with the optimization and the modeling has been analysis with the algorithms, the cooperating task assignment of multiple UCAV team air-to-ground attack has been realized. Simulation results have verified that the method could reflect the real status of the war field, the optimization algorithm was quickly and the solution was best and the DDF is validity with comparing the simulation results with and without DDF.
  • Keywords
    aircraft; decision making; military vehicles; optimisation; robots; Bayesian optimization algorithm; DDF; UCAV swarm cooperative task assignment; air-to-ground attack; air-to-ground combat; distance discount factor; optimization algorithm; uninhabited combat air vehicle; war field; Algorithm design and analysis; Bayesian methods; Computational modeling; Decision making; Educational institutions; Genetic algorithms; Optical computing; Radar; Surveillance; Weapons; Bayesian optimization algorithm (BOA); Cooperative task assignment; air-to-ground attack; uninhabited combat air vehicle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Computing (ICIC), 2010 Third International Conference on
  • Conference_Location
    Wuxi, Jiang Su
  • Print_ISBN
    978-1-4244-7081-5
  • Electronic_ISBN
    978-1-4244-7082-2
  • Type

    conf

  • DOI
    10.1109/ICIC.2010.349
  • Filename
    5514081