Distributed task allocation in dynamic environments

Sean C. Mondesire; Annie S. Wu; Misty Blowers; John C. Sciortino Jr.

doi:10.1117/12.821901

29 April 2009 Distributed task allocation in dynamic environments

Sean C. Mondesire, Annie S. Wu, Misty Blowers, John C. Sciortino Jr.

Proceedings Volume 7347, Evolutionary and Bio-Inspired Computation: Theory and Applications III; 734708 (2009) https://doi.org/10.1117/12.821901
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

Sean C. Mondesire, Annie S. Wu, Misty Blowers, and John C. Sciortino Jr. "Distributed task allocation in dynamic environments", Proc. SPIE 7347, Evolutionary and Bio-Inspired Computation: Theory and Applications III, 734708 (29 April 2009); https://doi.org/10.1117/12.821901

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