- author = "Moshe Sipper",
- title = "Tiny Genetic Programming in Python",
- howpublished = "GitHub",
- year = "2019",
- keywords = "genetic algorithms, genetic programming",
-
URL = "
https://github.com/moshesipper/tiny_gp",
-
abstract = "A minimalistic program implementing Koza-style
(tree-based) genetic programming to solve a symbolic
regression problem.
tiny-gp.py is a basic (and fully functional) version, which produces textual output of the evolutionary progression and evolved trees.
tiny-gp-plus.py displays dynamic graphs of error and mean tree size (size = number of nodes), has a bloat-control option, and produces nicer, graphic output (you'll need to install https://pypi.org/project/graphviz/).",
