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: 0.4-1
Depends: R (≥ 3.0.0), utils
Imports: emoa (≥ 0.5-0)
Suggests: igraph (≥ 0.5.5), rrules (≥ 0.1-0), rgpui (≥ 0.1-0), snowfall (≥ 1.84-4)
Published: 2014-08-08
Author: Oliver Flasch, Olaf Mersmann, Thomas Bartz-Beielstein, Joerg Stork, Martin Zaefferer
Maintainer: Oliver Flasch <oliver.flasch at fh-koeln.de>
License: GPL-2
URL: http://rsymbolic.org/projects/show/rgp
NeedsCompilation: yes
Citation: NA
Materials: NA
In views: MachineLearning
CRAN checks: rgp results


Reference manual: rgp.pdf
Vignettes: A Friendly Introduction to RGP
Package source: rgp_0.4-1.tar.gz
Windows binaries: r-devel: rgp_0.4-1.zip, r-release: rgp_0.4-1.zip, r-oldrel: rgp_0.4-1.zip
OS X Snow Leopard binaries: r-release: rgp_0.4-1.tgz, r-oldrel: rgp_0.4-1.tgz
OS X Mavericks binaries: r-release: rgp_0.4-1.tgz
Old sources: rgp archive

Reverse dependencies:

Reverse imports: rgpui
Reverse suggests: SPOT