RGP: an open source genetic programming system for the R environment

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Oliver Flasch and Olaf Mersmann and 
                 Thomas Bartz-Beielstein",
  title =        "RGP: an open source genetic programming system for the
                 R environment",
  booktitle =    "GECCO 2010 Late breaking abstracts",
  year =         "2010",
  editor =       "Daniel Tauritz",
  isbn13 =       "978-1-4503-0073-5",
  keywords =     "genetic algorithms, genetic programming",
  pages =        "2071--2072",
  month =        "7-11 " # jul,
  organisation = "SIGEVO",
  address =      "Portland, Oregon, USA",
  DOI =          "doi:10.1145/1830761.1830867",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "RGP is a new genetic programming system based on the R
                 environment. The system implements classical untyped
                 tree-based genetic programming as well as more advanced
                 variants including, for example, strongly typed genetic
                 programming and Pareto genetic programming. It strives
                 for high modularity through a consistent architecture
                 that allows the customisation and replacement of every
                 algorithm component, while maintaining accessibility
                 for new users by adhering to the {"}convention over
                 configuration{"} principle. Typical GP applications are
                 supported by standard R interfaces. For example,
                 symbolic regression via GP is supported by the same
                 {"}formula interface{"} as linear regression in R. RGP
                 is freely available as an open source R package.",
  notes =        "Also known as \cite{1830867} Distributed on CD-ROM at

                 ACM Order Number 910102.",

Genetic Programming entries for Oliver Flasch Olaf Mersmann Thomas Bartz-Beielstein