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Genetic Programming

27th European Conference, EuroGP 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings

  • Conference proceedings
  • © 2024

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14631)

Included in the following conference series:

Conference proceedings info: EuroGP 2024.

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Table of contents (13 papers)

  1. Long Presentations

  2. Short Presentations

Other volumes

  1. Genetic Programming

Keywords

About this book

This book constitutes the refereed proceedings of the 27th European Conference on Genetic Programming, EuroGP 2024, held in Aberystwyth, UK, April 3–5, 2024 and co-located with the EvoStar events, EvoCOP, EvoMUSART, and EvoApplications.



The 13 papers (9 selected for long presentation and 4 for short presentation) collected in this book were carefully reviewed and selected from 24 submissions. The wide range of topics in this volume reflects the current state of research in the field. The collection of papers cover topics including developing new variants of GP algorithms, as well as exploring GP applications to the optimization of machine learning methods and the evolution of control policies.

Editors and Affiliations

  • University of Torino, Grugliasco, Italy

    Mario Giacobini

  • Victoria University of Wellington, Wellington, New Zealand

    Bing Xue

  • University of Trieste, Trieste, Italy

    Luca Manzoni

Bibliographic Information

  • Book Title: Genetic Programming

  • Book Subtitle: 27th European Conference, EuroGP 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings

  • Editors: Mario Giacobini, Bing Xue, Luca Manzoni

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-56957-9

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Softcover ISBN: 978-3-031-56956-2Published: 17 April 2024

  • eBook ISBN: 978-3-031-56957-9Published: 28 March 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 227

  • Number of Illustrations: 16 b/w illustrations, 53 illustrations in colour

  • Topics: Professional Computing, Complex Systems, Computer Communication Networks, Machine Learning, Natural Language Processing (NLP)

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