Distributed task allocation in dynamic environments

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

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

Author Affiliations +

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.

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

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