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

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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",
• editor = "S. I. Ao and Oscar Castillo and Craig Douglas and David Dagan Feng and Jeong-A Lee",
• pages = "77--80",
• address = "Hong Kong",
• month = "17-19 " # mar,
• organisation = "International Association of Engineers",
• publisher = "Newswood Ltd",
• keywords = "genetic algorithms, genetic programming, symbolic regression, QSAR, toxicity",
• isbn13 = "978-988-17012-8-2",
• URL = "https://eprints.ncl.ac.uk/183377",
• URL = "http://www.iaeng.org/publication/IMECS2010/IMECS2010_pp77-80.pdf",
• code_url = "http://sites.google.com/site/gptips4matlab/",
• 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