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Proceedings Paper

Team-based resource allocation using a decentralized social decision-making paradigm
Author(s): Joshua P. Hecker; Annie S. Wu; Jared A. Herweg; John C. Sciortino
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Paper Abstract

We examine the use of local decentralized decision-making methods for solving the problem of resource allocation. Specifically, we study the problem of frequency coverage given a team of cooperating receivers. The decision making process is decentralized in that receivers can only communicate locally. We use an extension of the minority game approach to allocate receivers to current frequency coverage tasks.

Paper Details

Date Published: 1 May 2008
PDF: 9 pages
Proc. SPIE 6964, Evolutionary and Bio-Inspired Computation: Theory and Applications II, 696409 (1 May 2008); doi: 10.1117/12.785379
Show Author Affiliations
Joshua P. Hecker, Univ. of Central Florida (United States)
Annie S. Wu, Univ. of Central Florida (United States)
Jared A. Herweg, Air Force Research Lab. (United States)
John C. Sciortino, Naval Research Lab. (United States)


Published in SPIE Proceedings Vol. 6964:
Evolutionary and Bio-Inspired Computation: Theory and Applications II
Misty Blowers; Alex F. Sisti, Editor(s)

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