A modular, object-oriented framework for evolutionary and genetic algorithms in Python 3.
Make sure you have Python 3.6+ installed by executing python --version in your command line.
Next, simply execute
pip install --upgrade pythovolve
to install pythovolve.
Check out the examples in the examples directory. To do that, clone the repository using git:
git clone https://github.com/peter-schmidbauer/pythovolve.git
If you have already installed pythovolve, you can now run
python pythovolve/examples/<example_script.py>
to execute one of the examples.
If you have already installed pythovolve, check out a simple CLI example by running:
python -m pythovolve GA -r 30 -p
To run an ES on a difficult multi dimensional test function, try
python -m pythovolve ES -d hoelder_table -m gauss -c single_point -p
For a full list and explanation of all CLI parameters, run
python -m pythovolve -h