Fast Genetic Programming

fastgp is a numpy implementation of genetic programming built on top of deap. It is the core library for fastsr, a symbolic regression package for Python. It's primary contribution is an implementation of AFPO[1] which is compatible with any deap toolbox.

fastgp was designed and developed by the Morphology, Evolution & Cognition Laboratory at the University of Vermont. It extends research code which can be found here.

Installing

fastgp is compatible with Python 2.7+.

pip install fastgp

Example Usage

fastgp is a core library and as such there are no examples in this repository. Check out fastsr for an example of fastgp's use in Symbolic Regression.

Literature Cited

1. Michael Schmidt and Hod Lipson. 2011. Age-fitness pareto optimization. In Genetic Programming Theory and Practice VIII. Springer, 129–146.