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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	SoftwareX Ročník 22; s. 101381
Hlavní autoři:	Sipper, Moshe, Halperin, Tomer, Tzruia, Itai, Elyasaf, Achiya
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.05.2023 Elsevier
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Popis
Shrnutí:	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