By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Repperger, D.W. ; Wright-Patterson Air Force Base, Wright-Patterson AFB ; Ewing, R.L. ; Lyons, J.B. ; Roberts, R.G.

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:

Computational Intelligence in Robotics and Automation, 2007. CIRA 2007. International Symposium on

Date of Conference:

20-23 June 2007