.png){kind=icon}
Return
GDF: A tool for function estimation through grammatical evolution
.png){kind=icon}
OA
AI
DOI：10.1016/j.cpc.2005.11.003.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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 : R-n --> 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 summary Title of program: GDF Catalogue identifier: ADXC Program obtainable from: CPC Program Library, Queen's University of Belfast, N. Ireland Program summary URL: htip://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 loannina 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 vectorized or parallelized?: 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. (C) 2005 Elsevier B.V. All rights reserved.
Keywords:
function approximation
Stochastic methods
genetic programming
grammatical evolution
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3.4
Papers:
1.2W
Citations:
3.7W
Organization
No organization information available
.png){kind=icon}
