On the Relevance of Using Gene Expression Programming in Destination-Based Traffic Engineering

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Bagula:2005:ciS,

• author = "Antoine B. Bagula and Hong F. Wang",
• title = "On the Relevance of Using Gene Expression Programming in Destination-Based Traffic Engineering",
• booktitle = "Computational Intelligence and Security",
• year = "2005",
• volume = "3801",
• series = "Lecture Notes in Computer Science",
• pages = "224--229",
• keywords = "genetic algorithms, genetic programming, Gene Expression Programming",
• isbn_13 = "978-3-540-30818-8",
• DOI = "doi:10.1007/11596448",
• abstract = "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.",

}

Genetic Programming entries for Antoine B Bagula Hong F Wang

Citations