Genetic Programming for Service Creation in Intelligent Networks

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@InProceedings{martin:2000:GPscin,
  author =       "Peter Martin",
  title =        "Genetic Programming for Service Creation in
                 Intelligent Networks",
  booktitle =    "Genetic Programming, Proceedings of EuroGP'2000",
  year =         "2000",
  editor =       "Riccardo Poli and Wolfgang Banzhaf and 
                 William B. Langdon and Julian F. Miller and Peter Nordin and 
                 Terence C. Fogarty",
  volume =       "1802",
  series =       "LNCS",
  pages =        "106--120",
  address =      "Edinburgh",
  publisher_address = "Berlin",
  month =        "15-16 " # apr,
  organisation = "EvoNet",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming, polymorphic
                 data, SBSE",
  ISBN =         "3-540-67339-3",
  URL =          "http://www.naiadhome.com/martin.pdf",
  URL =          "http://www.naiadhome.com/martin.ps",
  URL =          "http://citeseer.ist.psu.edu/567047.html",
  URL =          "http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=1802&spage=106",
  DOI =          "doi:10.1007/978-3-540-46239-2_8",
  size =         "15 pages",
  abstract =     "Intelligent Networks are used by telephony systems to
                 offer services to customers. The creation of these
                 services has traditionally been performed by hand, and
                 has required substantial effort, despite the advanced
                 tools employed. An alternative to manual service
                 creation using Genetic Programming is proposed that
                 addresses some of the limitations of the manual process
                 of service creation. The main benefit of using GP is
                 that by focussing on what a service is required to do,
                 as opposed to its implementation, it is more likely
                 that the generated programs will be available on time
                 and to budget, when compared to traditional software
                 engineering techniques. The problem of closure is
                 tackled by presenting a new technique for ensuring
                 correct program syntax that maintains genetic
                 diversity.",
  notes =        "Autonomous Polymorphic Addressable Memory APAM. GPT
                 GAIN INventor, INAP, SDF, Q.1211 Q.1214, complex
                 telephone number translation.

                 microsoft powerpoint slides
                 http://www.naiadhome.com/eurogp2000_slides.ppt

                 EuroGP'2000, part of \cite{poli:2000:GP}",
}

Genetic Programming entries for Peter Martin

Citations