GPTIPS: An Open Source Genetic Programming Toolbox For Multigene Symbolic Regression
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{Searson:2010:IMECS,
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title = "{GPTIPS}: An Open Source Genetic Programming Toolbox
For Multigene Symbolic Regression",
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author = "Dominic P. Searson and David E. Leahy and
Mark J. Willis",
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booktitle = "Proceedings of the International Multiconference of
Engineers and Computer Scientists 2010 (IMECS 2010)",
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year = "2010",
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volume = "1",
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editor = "S. I. Ao and Oscar Castillo and Craig Douglas and
David Dagan Feng and Jeong-A Lee",
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pages = "77--80",
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address = "Hong Kong",
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month = "17-19 " # mar,
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organisation = "International Association of Engineers",
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publisher = "Newswood Ltd",
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keywords = "genetic algorithms, genetic programming, symbolic
regression, QSAR, toxicity",
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isbn13 = "978-988-17012-8-2",
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URL = "https://eprints.ncl.ac.uk/183377",
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URL = "http://www.iaeng.org/publication/IMECS2010/IMECS2010_pp77-80.pdf",
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code_url = "http://sites.google.com/site/gptips4matlab/",
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size = "4 pages",
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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