GPTIPS : An Open Source Genetic Programming Toolbox For Multigene Symbolic Regression

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Searson:2010:IMECS,
  title =        "GPTIPS : An Open Source Genetic Programming Toolbox
                 For Multigene Symbolic Regression",
  author =       "Dominic P. Searson and David E. Leahy and 
                 Mark J. Willis",
  booktitle =    "Proceedings of the International Multiconference of
                 Engineers and Computer Scientists 2010 (IMECS 2010)",
  year =         "2010",
  volume =       "1",
  pages =        "77--80",
  address =      "Hong Kong",
  month =        "17-19 " # mar,
  organisation = "International Association of Engineers",
  keywords =     "genetic algorithms, genetic programming, symbolic
                 regression, QSAR, toxicity",
  isbn13 =       "978-988-17012-8-2",
  URL =          "http://www.iaeng.org/publication/IMECS2010/IMECS2010_pp77-80.pdf",
  size =         "4 pages",
  abstract =     "In this contribution GPTIPS, a free, open source
                 MATLAB toolbox for performing symbolic regression by
                 genetic programming (GP) is introduced. 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. The
                 functionality of GPTIPS is demonstrated by using it to
                 generate an accurate, compact QSAR (quantitative
                 structure activity relationship) model of existing
                 toxicity data in order to predict the toxicity of
                 chemical compounds. It is shown that the low-order
                 multigene GP methods implemented by GPTIPS can provide
                 a useful alternative, as well as a complementary
                 approach, to currently accepted empirical modelling and
                 data analysis techniques. GPTIPS and documentation is
                 available for download at
                 http://sites.google.com/site/gptips4matlab/.",
  notes =        "T. pyriformis aqueous toxicity
                 http://www.iaeng.org/IMECS2010/",
}

Genetic Programming entries for Dominic Patrick Searson David E Leahy Mark J Willis

Citations