
Proceedings Paper
Improving automatic cooperation between UAVs through co-evolutionFormat | Member Price | Non-Member Price |
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Paper Abstract
A fuzzy logic resource manager (RM) that enables a collection of unmanned aerial vehicles (UAVs) to automatically
cooperate to make meteorological measurements will be discussed. The RM renders the UAVs autonomous allowing
them to change paths and cooperate without human intervention. Innovations related to the "priority for helping" (PH)
fuzzy decision tree (FDT) used by the RM will be discussed. The PH FDT permits three types of automatic cooperation
between the UAVs. A subroutine of the communications routing algorithm (CRA) used by the RM is also examined.
The CRA allows the UAVs to reestablish communications if needed by changing their behavior. A genetic program
(GP) based procedure for automatically creating FDTs is briefly described. A GP is an algorithm based on the theory of
evolution that automatically evolves mathematical expressions or computer algorithms. The GP data mines a scenario
database to automatically create the FDTs. A recently invented co-evolutionary process that allows improvement of the
initially data mined FDT will be discussed. Co-evolution uses a genetic algorithm (GA) to evolve scenarios to augment
the GP's scenario database. The GP data mines the augmented database to discover an improved FDT. The process is
iterated ultimately evolving a very robust FDT. Improvements to the PH FDT offered through co-evolution are
discussed. UAV simulations using the improved PH FDT and CRA are provided.
Paper Details
Date Published: 17 April 2008
PDF: 12 pages
Proc. SPIE 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII, 69680A (17 April 2008); doi: 10.1117/12.779166
Published in SPIE Proceedings Vol. 6968:
Signal Processing, Sensor Fusion, and Target Recognition XVII
Ivan Kadar, Editor(s)
PDF: 12 pages
Proc. SPIE 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII, 69680A (17 April 2008); doi: 10.1117/12.779166
Show Author Affiliations
James F. Smith III, Naval Research Lab. (United States)
Published in SPIE Proceedings Vol. 6968:
Signal Processing, Sensor Fusion, and Target Recognition XVII
Ivan Kadar, Editor(s)
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