TurboGP: A flexible and advanced python based GP library
Lino Rodriguez-Coayahuitl Alicia Morales-Reyes Hugo Jair Escalante
We introduce TurboGP, a Genetic Programming (GP) library fully written in
Python and specifically designed for machine learning tasks. TurboGP implements
modern features not available in other GP implementations, such as island and
cellular population schemes, different types of genetic operations (migration,
protected crossovers), online learning, among other features. TurboGP's most
distinctive characteristic is its native support for different types of GP
nodes to allow different abstraction levels, this makes TurboGP particularly
useful for processing a wide variety of data sources.