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

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@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