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Object oriented framework for genetic algorithms

Project description

travis build PyPI - License PyPI - Python Version

pythovolve

A modular, object-oriented framework for evolutionary and genetic algorithms in Python 3.

Quick start

Installation using pip

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.

Try it out (as a Library)

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.

Try it out (as a CLI)

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

Project details


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