RGP is a simple yet flexible Genetic Programming system for the R environment. The system implements classical untyped tree-based genetic programming as well as more advanced variants including, for example, strongly typed genetic programming and Pareto genetic programming.
In addition, the RGP Wiki contains documentation, information on how to access the code repository, and on how to contribute.
Please use the Forum for discussing questions regarding RGP.
Also see the News section of the site for recent developments.
Manager: Olaf Mersmann, Oliver Flasch
Developer: Jörg Stork, Noah Ispas, Tobias Brandt
Reporter: Ahmed Nagi, Alison Weber, Jongseong Kim, Jörg Stork, Noah Ispas, Rahul Savani, Renata Camargo, Tobias Brandt, vinicius melo
RGP version 0.3-1 released on CRAN
RGP 0.3-1 introduces Pareto-GP as the new default search strategy.
RGP version 0.2-4 released on CRAN
RGP 0.2-4 has just been released to CRAN. This is primarily a maintenance release fixing bugs and removing limitations of RGP's typed genetic programming implementation.
RGP version 0.2-3 released on CRAN
RGP version 0.2-3 has been released to CRAN.
RGP 0.2-2 released on CRAN
RGP version 0.2-2 was just released on CRAN and should become available on all CRAN mirrors soon.
New RGP Tutorial
A new tutorial on getting started with a simple GP run is now available in the RGP wiki.