EC-KitY: Evolutionary computation tool kit in Python with seamless machine learning integration
Moshe Sipper, Tomer Halperin, Itai Tzruia, Achiya Elyasaf
Abstract
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.
Topics & Concepts
Python (programming language)Computer scienceGenetic programmingMIT LicenseProgramming languageEvolutionary computationLicenseSoftware engineeringArtificial intelligenceCoevolutionSoftwareEvolutionary programmingOperating systemBiologyPaleontologyEvolutionary Algorithms and ApplicationsMetaheuristic Optimization Algorithms ResearchAdvanced Multi-Objective Optimization Algorithms