Journal of Intelligent & Robotic Systems

, Volume 70, Issue 1, pp 361–371

Using Genetic Algorithms for Tasking Teams of Raven UAVs

  • Marjorie Darrah
  • Edgar Fuller
  • Thilanka Munasinghe
  • Kristin Duling
  • Mridul Gautam
  • Mitchell Wathen
Article

DOI: 10.1007/s10846-012-9696-3

Cite this article as:
Darrah, M., Fuller, E., Munasinghe, T. et al. J Intell Robot Syst (2013) 70: 361. doi:10.1007/s10846-012-9696-3

Abstract

Control of multiple unmanned aerial vehicles is of importance given that so many have been deployed in the field. This work discusses how genetic algorithms (GA) have been applied to the cooperative tasking of the AeroVironment’s Raven unmanned aerial vehicle (UAV) engaged in an intelligence, reconnaissance, and surveillance (ISR) mission. Mission assumptions, development of the GA, the method used to test for convergence, and the outcome of preliminary testing are all discussed.

Keywords

UAVs Genetic algorithms Cooperative control Tasking algorithms 

Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Marjorie Darrah
    • 1
  • Edgar Fuller
    • 1
  • Thilanka Munasinghe
    • 1
  • Kristin Duling
    • 1
  • Mridul Gautam
    • 2
  • Mitchell Wathen
    • 3
  1. 1.MathematicsWest Virginia UniversityMorgantownUSA
  2. 2.Mechanical and Aerospace EngineeringWest Virginia UniversityMorgantownUSA
  3. 3.Army Research LaboratoryAdelphiUSA

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