EC-KitY: Evolutionary computation tool kit in Python with seamless machine learning integration

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 ge...

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Bibliographic Details
Published in:SoftwareX Vol. 22; p. 101381
Main Authors: Sipper, Moshe, Halperin, Tomer, Tzruia, Itai, Elyasaf, Achiya
Format: Journal Article
Language:English
Published: Elsevier B.V 01.05.2023
Elsevier
Subjects:
Evolutionary algorithms
Evolutionary computation
Genetic programming
Machine learning
Scikit-learn
Scikit-learn
Evolutionary algorithms
Genetic programming
Evolutionary computation
Machine learning
ISSN:2352-7110, 2352-7110
Online Access:Get full text
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Summary: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.
ISSN:2352-7110
2352-7110
DOI:10.1016/j.softx.2023.101381