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Proceedings Paper

Distributed task allocation in dynamic environments
Author(s): Sean C. Mondesire; Annie S. Wu; Misty Blowers; John C. Sciortino Jr.
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Paper Abstract

This work investigates the behavior of a distributed team of agents on a dynamic distributed task allocation problem. Previous work finds that a distributed decision making process can effectively assign tasks appropriately to team members even when agents have only local information. We study this problem in a distributed environment in which agents can move, thus causing local neighborhoods to change over time. Results indicate that a higher level of adaptation is clearly required in the dynamic environment. Despite the increased difficulty, the distributed team is able achieve comparable behavior in both static and dynamic environments.

Paper Details

Date Published: 29 April 2009
PDF: 8 pages
Proc. SPIE 7347, Evolutionary and Bio-Inspired Computation: Theory and Applications III, 734708 (29 April 2009); doi: 10.1117/12.821901
Show Author Affiliations
Sean C. Mondesire, Univ. of Central Florida (United States)
Annie S. Wu, Univ. of Central Florida (United States)
Misty Blowers, Air Force Research Lab. (United States)
John C. Sciortino Jr., Naval Research Lab. (United States)

Published in SPIE Proceedings Vol. 7347:
Evolutionary and Bio-Inspired Computation: Theory and Applications III
Teresa H. O'Donnell; Misty Blowers; Kevin L. Priddy, Editor(s)

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