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Erschienen in:
2005 | OriginalPaper | Buchkapitel
On the Relevance of Using Gene Expression Programming in Destination-Based Traffic Engineering
verfasst von : Antoine B. Bagula, Hong F. Wang
Erschienen in: Computational Intelligence and Security
Verlag: Springer Berlin Heidelberg
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This paper revisits the problem of Traffic Engineering (TE) to assess the relevance of using Gene Expression Programming (
GEP
) as a new fine-tuning algorithm in destination-based TE. We present a new TE scheme where link weights are computed using
GEP
and used as fine-tuning parameters in destination-based path selection. We apply the newly proposed TE scheme to compute the routing paths for the traffic offered to a 23- and 30-node test networks under different traffic conditions and differentiated services situations. We evaluate the performance achieved by the
GEP
algorithm compared to a memetic and the Open Shortest Path First (
OSPF
) algorithms in a simulated routing environment using the NS packet level simulator. Preliminary results reveal the relative efficiency of
GEP
compared to the memetic algorithm and
OSPF
routing.