Genetic Programming

22nd European Conference, EuroGP 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings

  • Lukas Sekanina
  • Ting Hu
  • Nuno Lourenço
  • Hendrik Richter
  • Pablo García-Sánchez
Conference proceedings EuroGP 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11451)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 11451)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Long Presentations

    1. Front Matter
      Pages 1-1
    2. Muhammad Sheraz Anjum, Conor Ryan
      Pages 3-18
    3. Timothy Atkinson, Athena Karsa, John Drake, Jerry Swan
      Pages 19-34
    4. Riccardo Gervasi, Irene Azzali, Donal Bisanzio, Andrea Mosca, Luigi Bertolotti, Mario Giacobini
      Pages 35-48
    5. Ting Hu, Marco Tomassini, Wolfgang Banzhaf
      Pages 49-63
    6. Jonathan Kelly, Erik Hemberg, Una-May O’Reilly
      Pages 64-80
    7. Jitka Kocnova, Zdenek Vasicek
      Pages 81-97
    8. Andrew Lensen, Bing Xue, Mengjie Zhang
      Pages 114-130
    9. Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
      Pages 146-161
    10. Yu Zhang, Ting Hu, Xiaodong Liang, Mohammad Zawad Ali, Md. Nasmus Sakib Khan Shabbir
      Pages 178-193
  3. Short Presentations

    1. Front Matter
      Pages 195-195
    2. Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro
      Pages 197-212
    3. Irene Azzali, Leonardo Vanneschi, Sara Silva, Illya Bakurov, Mario Giacobini
      Pages 213-227
    4. William B. Langdon, Ronny Lorenz
      Pages 245-261
    5. Luca Mariot, Domagoj Jakobovic, Alberto Leporati, Stjepan Picek
      Pages 262-277
    6. Thu Huong Nguyen, Andrea G. B. Tettamanzi
      Pages 278-294
  4. Back Matter
    Pages 295-295

About these proceedings


This book constitutes the refereed proceedings of the 22nd European Conference on Genetic Programming, EuroGP 2019, held as part of Evo* 2019, in Leipzig, Germany, in April 2019, co-located with the Evo* events EvoCOP, EvoMUSART, and EvoApplications.

The 12 revised full papers and 6 short papers presented in this volume were carefully reviewed and selected from 36 submissions. They cover a wide range of topics and reflect the current state of research in the field. With a special focus on real-world applications in 2019, the papers are devoted to topics such as the test data design in software engineering, fault detection and classification of induction motors, digital circuit design, mosquito abundance prediction, machine learning and cryptographic function design.



artificial intelligence Boolean function Cartesian genetic programming cryptography data mining evolutionary algorithms feature selection genetic algorithms genetic programming grammatical evolution graph theory knowledge acquisition knowledge discovery knowledge-based system linear genetic programming pattern recognition software engineering symbolic regression

Editors and affiliations

  1. 1.Brno University of TechnologyBrnoCzech Republic
  2. 2.Memorial UniversitySt. John'sCanada
  3. 3.University of CoimbraCoimbraPortugal
  4. 4.HTWK Leipzig University of Applied SciencesLeipzigGermany
  5. 5.University of GranadaGranadaSpain

Bibliographic information