🚧 project is in early stage of development, come back in July for hopefully functional version 🚧

GENETic ALgorithmS

This project aims to provide a simple toolset for playing with genetic algorithms

what this project is (or at least pretends to be)
- easy to use
- modular, extendable
- developed with emphasis on visual feedback when prototyping GAs (Jupyter notebooks included)
- a bit buggy
- in development
what this project is not
- the fastest, most optimized super-scalable piece of scientific code ever made

Installation

Clone repository, cd into it

$ git clone https://github.com/proste/genetals.git
$ cd genetals

(optionally) create virtual environment and activate it

$ python3 -m venv env_genetals
$ . env_genetals/bin/activate

install requirements (use pip3 if not using python3 environment)

$ pip install -r requirements.txt

run jupyter notebook (try sga.ipynb first)

$ jupyter notebook

The installation proces will be changed in future, making this package installable via setup.py or even pip