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

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@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 = "More recent versions may be available via https://sites.google.com/site/gptips4matlab/

  See \cite{Searson:2010:IMECS}

  Reviewed in \cite{Gandomi:GPEM:GPTIPS}",

}

Genetic Programming entries for Dominic Patrick Searson

Citations