Genetic Algorithms Survival of the Fittest: Natural Selection with Windows Forms

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Brian Connolly",
  title =        "Genetic Algorithms Survival of the Fittest: Natural
                 Selection with Windows Forms",
  journal =      "MSDN Magazine",
  year =         "2004",
  volume =       "19",
  number =       "8",
  month =        aug,
  publisher =    "Microsoft",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  URL =          "",
  URL =          "",
  size =         "16 pages",
  abstract =     "Genetic Programming is an evolutionary algorithm that
                 employs reproduction and natural selection to breed
                 better and better executable computer programs. It can
                 create programs that implement subtle, non-intuitive
                 solutions to complex problems. By taking a well-known
                 example from the Genetic Programming community and
                 implementing it with the .NET Framework, this article
                 demonstrates that CodeDOM and Reflection provide all
                 the facilities that are needed to do Genetic
                 Programming effectively

                 This article discusses:

                 * Genetic programming definition

                 * Breeding new algorithm generations

                 * Cross breeding

                 * Mutations

                 * Increasing fitness",
  notes =        "Santa Fe ant trail. .net Reflection CodeDOM.

                 .chm Microsoft Compiled HTML Help documented by
                 Connolly_2004_MSDN.pdf created from
                 MSDNMagazineAugust2004en-us.chm using print to file and
                 then ps2pdf but figures are missing from pdf.",

Genetic Programming entries for Brian Connolly