- 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",
