Medical Applications of Cartesian Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Stephen L. Smith and James Alfred Walker and 
                 Julian F. Miller",
  title =        "Medical Applications of Cartesian Genetic
  booktitle =    "Cartesian Genetic Programming",
  publisher =    "Springer",
  editor =       "Julian F. Miller",
  year =         "2011",
  series =       "Natural Computing Series",
  chapter =      "11",
  pages =        "309--336",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 Genetic Programming",
  isbn13 =       "978-3-642-17309-7",
  URL =          "",
  DOI =          "doi:10.1007/978-3-642-17310-3_11",
  abstract =     "Cartesian Genetic Programming (CGP) is now attracting
                 considerable recognition as an evolutionary algorithm
                 that not only delivers high performance, but one that
                 has a representation that is flexible and easy to adapt
                 to a range of applications. Problems based in medicine
                 stand to benefit greatly due their diverse and highly
                 non-linear nature, which can exploit this flexibility.
                 This chapter aims to give an overview of the types of
                 medical problems that may be addressed and illustrates
                 this by considering in detail, a number of published
                 case examples. Finally, for EC practitioners, some
                 advice on the common pit falls, benefits and rewards of
                 medical applications and, specifically, obtaining
                 patient data is offered at the end of the chapter.",
  notes =        "part of \cite{Miller:CGP}",

Genetic Programming entries for Stephen L Smith James Alfred Walker Julian F Miller