GPTIPS User Guide (genetic programming \& symbolic regression for MATLAB)

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@Manual{GPTIPSGuide,
  title =        "{GPTIPS} User Guide (genetic programming \& symbolic
                 regression for {MATLAB})",
  author =       "Dominic Searson",
  organization = "Newcastle University",
  edition =      "1.0",
  month =        "27 " # nov,
  year =         "2009",
  email =        "d.p.searson@ncl.ac.uk",
  keywords =     "genetic algorithms, genetic programming, symbolic
                 regression",
  URL =          "http://sites.google.com/site/gptips4matlab/file-cabinet/GPTIPSGuide1.0.pdf",
  URL =          "http://sites.google.com/site/gptips4matlab/file-cabinet/",
  abstract =     "GPTIPS is a free, open source MATLAB toolbox for
                 performing symbolic regression by genetic programming
                 (GP). GPTIPS is specifically designed to evolve
                 mathematical models of predictor response data that are
                 multigene in nature, i.e. linear combinations of low
                 order non-linear transformations of the input
                 variables.",
  size =         "26 pages",
  notes =        "See \cite{Searson:2010:IMECS}",
}

Genetic Programming entries for Dominic Patrick Searson