mlsanityData to 7 Oct 2026

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

arXiv 2207.10367 ↗First posted 21 Jul 2022cs.NE cs.AIcited by 4

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Abstract (arXiv)

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.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 3 of its 18 references that are in the map. First posted on arXiv 21 Jul 2022.

Builds on

3 of 18 references.

References · 3

  1. 2022Evolution of Activation Functions for Deep Learning-Based Image Classificationcited by 6
  2. 2020Evolving Context-Aware Recommender Systems With Users in Mindcited by 5
  3. 2022Binary and Multinomial Classification through Evolutionary Symbolic Regressioncited by 3

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Cited by year

Citing papers per year: 2023: 4.

4 papers.

  1. 2023Scalable Neural Symbolic Regression using Control Variablescited by 2
  2. 2023Classy Ensemble: A Novel Ensemble Algorithm for Classificationcited by 1
  3. 2023A Melting Pot of Evolution and Learningcited by 0
  4. 2023Fitness Approximation through Machine Learningcited by 0