A simple interface for performing genetic algorithm optimization for numerical problems. I am starting with a stripped-down version, where a solution can be described using a single vector of float numbers. Eventually, I will expand to more generic data structures and add multiple-species search options.

For the time being, I have no plans of developing a GUI. For now, this is strictly a computational module.

In addition to the standard Python libraries, PyGAO uses numpy.

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Intended Audience

Science/Research, Education, Developers

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