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        "author": "Peter Schmidbauer",
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            "License :: OSI Approved :: MIT License",
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            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
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        "description": "![travis build](https://img.shields.io/travis/peter-schmidbauer/pythovolve.svg)\n![PyPI - License](https://img.shields.io/pypi/l/pythovolve.svg)\n![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pythovolve.svg)\n\n# pythovolve\nA modular, object-oriented framework for evolutionary and genetic algorithms in Python 3.\n\n## Quick start\n\n### Installation using pip\n\nMake sure you have Python 3.6 installed by executing `python --version` in your command line.\n\nNext, simply execute \n\n    pip install --upgrade pythovolve \n\nto install pythovolve.\n\n### Try it out (as a Library)\n\nCheck out the examples in the examples directory. To do that, clone the repository using git:\n\n    git clone https://github.com/peter-schmidbauer/pythovolve.git\n\nIf you have already installed pythovolve, you can now run\n\n    python pythovolve/examples/<example_script.py>\n\nto execute one of the examples.\n\n### Try it out (as a CLI)\n\nIf you have already installed pythovolve, check out a simple CLI example by running:\n\n    python -m pythovolve GA -r 30 -p\n\nTo run an ES on a difficult multi dimensional test function, try\n\n    python -m pythovolve ES -d hoelder_table -m gauss -c single_point -p\n\nFor a full list and explanation of all CLI parameters, run\n\n    python -m pythovolve -h\n\n\n\n\n\n\n",
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        "summary": "Object oriented framework for genetic algorithms",
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