A Friendly Introduction to RGP

RGP is genetic programming system based on, as well as fully integrated into, the R environment. The system implements classical tree-based genetic programming as well as other variants including, for example, strongly typed genetic programming and Pareto genetic programming. It strives for high modularity through a consistent architecture that allows the customization and replacement of every algorithm component, while maintaining accessibility for new users by adhering to the ”convention over configuration” principle. Performance critical sections have efficient implementations in C, making the system suitable for real-world application. Typical GP applications are supported by well-known R ideoms. For example, symbolic regression via GP is supported by the same ”formula interface” as linear regression in R.