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Investigation of Performance of Distributed Complex Systems Using Information-theoretic Means and Genetic Algorithms

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4 Author(s)
D. W. Repperger ; Members, IEEE, Air Force Research Laboratory, Wright-Patterson Air Force Base, Ohio 45433. 937-255-8765; fax:937-255-8752; email: ; R. L. Ewing ; J. B. Lyons ; R. G. Roberts

An investigation is conducted into performance measures to evaluate network-centric systems via their information or other flow properties. To approach this problem, concepts are borrowed from Graph Theory Information Theory, and current methods to analyze network-centric systems. A number of tools are presented to help better understand how to measure the flow in distributed networks. The efficacy of the proposed method is demonstrated by taking a known distributed paradigm (logistics system) and examining situations that produce maximum and minimum flow conditions. The optimization problem involving flow variables is computationally complex (NP-hard) and thus is determined via genetic algorithms.

Published in:

2007 International Symposium on Computational Intelligence in Robotics and Automation

Date of Conference:

20-23 June 2007