GDF: A tool for function estimation through grammatical evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{Tsoulos:GAt:06,
  author =       "Ioannis G. Tsoulos and Dimitris Gavrilis and 
                 Evangelos Dermatas",
  title =        "{GDF:} A tool for function estimation through
                 grammatical evolution",
  journal =      "Computer Physics Communications",
  year =         "2006",
  volume =       "174",
  number =       "7",
  pages =        "555--559",
  month =        "1 " # apr,
  keywords =     "genetic algorithms, genetic programming, Function
                 approximation, Stochastic methods, Grammatical
                 evolution",
  DOI =          "doi:10.1016/j.cpc.2005.11.003",
  abstract =     "This article introduces a tool for data fitting that
                 is based on genetic programming and especially on the
                 grammatical evolution technique. The user needs to
                 input a series of points and the accompanied
                 dimensionality n and the tool will produce via the
                 genetic programming paradigm a function Click to view
                 the MathML source which is an approximate solution to
                 the symbolic regression problem. The tool is entirely
                 written in ANSI C++ and it can be installed in any UNIX
                 system.

                 Program summary

                 Title of program: GDF

                 Catalogue identifier:ADXC

                 Program obtainable from: CPC Program Library, Queen's
                 University of Belfast, N. Ireland

                 Program summary URL:
                 http://cpc.cs.qub.ac.uk/summaries/ADXC

                 Computer for which the program is designed and others
                 on which is has been tested:The tool is designed to be
                 portable in all systems running the GNU C++
                 compiler

                 Installation: University of Ioannina and University of
                 Patras, Greece

                 Programming language used:GNU-C++

                 Memory required to execute with typical data:200 KB

                 No. of bits in a word: 32

                 No. of processors used: 1

                 Has the code been vectorised or parallelised?: No

                 No. of bytes in distributed program, including test
                 data, etc.: 33 469

                 No. of lines in distributed program, including test
                 data, etc.: 5704

                 Distribution format: tar.gz

                 Solution method: Functional forms are being created by
                 genetic programming which are approximations for the
                 symbolic regression problem.",
  notes =        "PACS: 02.30.Mv; 02.60.-x; 02.60.Ed; 07.05.Mh",
}

Genetic Programming entries for Ioannis G Tsoulos Dimitris Gavrilis Evangelos Dermatas

Citations