Papers › EC-KitY: Evolutionary Computation Tool Kit in Python with Seamless Machine Learning Integration

EC-KitY: Evolutionary Computation Tool Kit in Python with Seamless Machine Learning Integration

21 Jul 2022arXiv:2207.10367archive 2025-07-28

Moshe Sipper, Tomer Halperin, Itai Tzruia, Achiya Elyasaf

EC-KitY is a comprehensive Python library for doing evolutionary computation (EC), licensed under the BSD 3-Clause License, and compatible with scikit-learn. Designed with modern software engineering and machine learning integration in mind, EC-KitY can support all popular EC paradigms, including genetic algorithms, genetic programming, coevolution, evolutionary multi-objective optimization, and more. This paper provides an overview of the package, including the ease of setting up an EC experiment, the architecture, the main features, and a comparison with other libraries.

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