rgp: R genetic programming framework

RGP is a simple modular Genetic Programming (GP) system build in pure R. In addition to general GP tasks, the system supports Symbolic Regression by GP through the familiar R model formula interface. GP individuals are represented as R expressions, an (optional) type system enables domain-specific function sets containing functions of diverse domain- and range types. A basic set of genetic operators for variation (mutation and crossover) and selection is provided.

Version: 0.2-4
Depends: R (≥ 2.13.0), methods, emoa (≥ 0.4-2), rrules (≥ 0.1-0)
Suggests: igraph (≥ 0.5.5), snowfall (≥ 1.84)
Published: 2011-10-20
Author: Oliver Flasch, Olaf Mersmann, Thomas Bartz-Beielstein, Joerg Stork
Maintainer: Oliver Flasch <oliver.flasch at fh-koeln.de>
License: GPL-2
URL: http://rsymbolic.org/projects/show/rgp
In views: MachineLearning
CRAN checks: rgp results


Package source: rgp_0.2-4.tar.gz
MacOS X binary: rgp_0.2-4.tgz
Windows binary: rgp_0.2-4.zip
Reference manual: rgp.pdf
Old sources: rgp archive