Orders > Conference proceedings > 12th international workshop on systems, signals and image processing
(from Chapter 1: Invited Addresses and Tutorials on Signals, Coding,
 Systems and Intelligent Techniques)
| Full Citation and Abstract
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Title: |
Traffic Engineering in Multiservice Networks Based on Computational Intelligence |
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Author(s): |
Vasilios Pasias, Dimitris Karras, Rallis C. Papademetriou |
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Address: |
Department of Electronic and Computer Engineering, University of Portsmouth
and Hellenic Aerospace Industry (AMEC group)
Technical Institute of Chalkis and Hellenic Aerospace Industry (AMEC group)
Department of Electronic and Computer Engineering, University of Portsmouth
and Hellenic Aerospace Industry (AMEC group)
pasiasv @ hotmail.com, dakarras @ teihal.gr, rallis.papademetriou @ port.ac.uk |
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Reference: |
SSIP-SP1, 2005 pp. 153 - 158 |
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Abstract/
Summary |
In this paper, three new methods for the solution of the off-line Traffic Engineering problem in multi-service networks based on computational intelligence are presented. In the first method the off-line TE problem is formulated as an optimisation model with linear constraints and then solved using a modified version of the Genetic Algorithm for Numerical Optimisation for Constraint Problems (GENOCOP). Besides, a hybrid method for the solution of the aforementioned problem involving GENOCOP and a heuristic TE algorithm is also provided. In the third method the off-line TE optimisation problem is solved using a special constrained simulated annealing algorithm. The performance of the above methods against a standard optimisation method based on Linear Programming is examined through a series of tests and numerical results are provided. |
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