Using Genetic Algorithms for Tasking Teams of Raven UAVs

Authors:
Marjorie Darrah;Edgar Fuller;Thilanka Munasinghe;Kristin Duling;Mridul Gautam;Mitchell Wathen
Affiliations:
Mathematics, West Virginia University, Morgantown, USA;Mathematics, West Virginia University, Morgantown, USA;Mathematics, West Virginia University, Morgantown, USA;Mathematics, West Virginia University, Morgantown, USA;Mechanical and Aerospace Engineering, West Virginia University, Morgantown, USA;Army Research Laboratory, Adelphi, USA
Venue:
Journal of Intelligent and Robotic Systems
Year:
2013

Citing 3
Cited 0

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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.