genepro is a Python library providing a baseline implementation of genetic programming, an evolutionary algorithm specialized to evolve programs.
This is a forked repository of the original one: genepro.
Evolving programs are represented as trees. The leaf nodes (also called terminals) of such trees represent some form of input, e.g., a feature for classification or regression, or a type of environmental observation for reinforcement learning. The internal nodes represent possible atomic instructions, e.g., summation, subtraction, multiplication, division, but also if-then-else or similar programming constructs.
Genetic programming operates on a population of trees, typically initialized at random. Every iteration (called generation), promising trees undergo random modifications (e.g., forms of crossover, mutation, and tuning) that result in a population of offspring trees. This new population is then used for the next generation.
For a full installation, clone this repo locally, and make use of the file requirements.txt, as follows:
git clone https://github.com/giorgia-nadizar/genepro.git
cd genepro
pip3 install -r requirements.txt .
Installation of the updated package is as follows:
pip3 install -U .
A conda virtual enviroment can easily be set up with:
git clone https://github.com/giorgia-nadizar/genepro.git
cd genepro
conda env create
conda activate genepro
pip3 install -r requirements.txt .
Installation of the updated package is as follows:
pip3 install -U .
Be careful with conda, do not mix conda and pip together.
If you use this software, please cite it with:
@software{Virgolin_genepro_2022,
author = {Virgolin, Marco},
month = {9},
title = {{genepro}},
url = {https://github.com/marcovirgolin/genepro},
version = {0.1.0},
year = {2022}
}