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version](https://badge.fury.io/py/geneticpy.svg)](https://badge.fury.io/py/geneticpy)\n[![PyPI pyversions](https://img.shields.io/pypi/pyversions/geneticpy.svg)](https://pypi.python.org/pypi/geneticpy/)\n[![PyPI Downloads](https://static.pepy.tech/personalized-badge/geneticpy?period=total\u0026units=INTERNATIONAL_SYSTEM\u0026left_color=BLACK\u0026right_color=GREEN\u0026left_text=downloads)](https://pepy.tech/projects/geneticpy)\n\nGeneticPy is an optimizer that uses a genetic algorithm to quickly search through custom parameter spaces for optimal solutions.\n\n### Installation\n\nGeneticPy requires Python 3.10+\n\n```sh\npip install geneticpy\n```\n\n### Development Workflow\n\nThis project uses [uv](https://github.com/astral-sh/uv) for fast dependency management and [hatchling](https://github.com/pypa/hatch) as the build backend.\n\n```sh\n# Run tests\nmake test\n\n# Build the package\nmake build\n```\n\n### Optimize Example:\n\nA brief example to get you started is included below:\n\n```python\nimport geneticpy\n\ndef loss_function(params):\n  if params['type'] == 'add':\n    return params['x'] + params['y']\n  elif params['type'] == 'multiply':\n    return params['x'] * params['y']\n\nparam_space = {'type': geneticpy.ChoiceDistribution(choice_list=['add', 'multiply']),\n               'x': geneticpy.UniformDistribution(low=5, high=10, q=1),\n               'y': geneticpy.GaussianDistribution(mean=0, standard_deviation=1)}\n\nresults = geneticpy.optimize(loss_function, param_space, size=200, generation_count=500, verbose=True)\nbest_params = results.best_params\nloss = results.best_score\ntotal_time = results.total_time\n```\n\n### PyPi Project\nhttps://pypi.org/project/geneticpy/\n\n### Contact\n\nPlease feel free to email me at brandonschabell@gmail.com with any questions or feedback.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgeneticpy%2Fgeneticpy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgeneticpy%2Fgeneticpy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgeneticpy%2Fgeneticpy/lists"}