Multiple Network CGP for the Classification of Mammograms

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Katharina Volk and Julian Miller and 
                 Stephen L. Smith",
  title =        "Multiple Network CGP for the Classification of
  booktitle =    "Applications of Evolutionary Computing,
                 EvoWorkshops2009: {EvoCOMNET}, {EvoENVIRONMENT},
                 {EvoFIN}, {EvoGAMES}, {EvoHOT}, {EvoIASP},
                 {EvoINTERACTION}, {EvoMUSART}, {EvoNUM}, {EvoPhD},
                 {EvoSTOC}, {EvoTRANSLOG}",
  year =         "2009",
  month =        "15-17 " # apr,
  editor =       "Mario Giacobini and Ivanoe {De Falco} and Marc Ebner",
  series =       "LNCS",
  volume =       "5484",
  publisher =    "Springer Verlag",
  address =      "Tubingen, Germany",
  pages =        "405--413",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 genetic programming",
  isbn13 =       "978-3-642-01128-3",
  DOI =          "doi:10.1007/978-3-642-01129-0_45",
  abstract =     "This paper presents a novel representation of
                 Cartesian genetic programming (CGP) in which multiple
                 networks are used in the classification of high
                 resolution X-rays of the breast, known as mammograms.
                 CGP networks are used in a number of different
                 recombination strategies and results are presented for
                 mammograms taken from the Lawrence Livermore National
                 Laboratory database.",
  notes =        "EvoWorkshops2009",

Genetic Programming entries for Katharina Volk Julian F Miller Stephen L Smith