GDF: A tool for function estimation through grammatical evolution

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 f:Rn→R 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 summaryTitle of program: GDFCatalogue identifier:ADXCProgram obtainable from: CPC Program Library, Queen's University of Belfast, N. IrelandProgram summary URL:http://cpc.cs.qub.ac.uk/summaries/ADXCComputer 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++ compilerInstallation: University of Ioannina and University of Patras, GreeceProgramming language used:GNU-C++Memory required to execute with typical data:200 KBNo. of bits in a word: 32No. of processors used: 1Has the code been vectorized or parallelized?: NoNo. of bytes in distributed program, including test data, etc.: 33 469No. of lines in distributed program, including test data, etc.: 5704Distribution format: tar.gzSolution method: Functional forms are being created by genetic programming which are approximations for the symbolic regression problem.