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EuroGP is the premier annual conference on Genetic Programming, the oldest and the only meeting worldwide devoted specifically to this branch of evolutionary computation. It is always a high-quality, enjoyable, friendly event, attracting participants from all continents, and offering excellent opportunities for networking, informal contact, and exchange of ideas with fellow researchers. It will feature a mixture of oral presentations and poster sessions and invited keynote speakers. EuroGP is featured in the conference ranking database CORE.

Areas of Interest and Contributions

This year, we have a special focus on GP and artificial intelligence: GP for interpretable AI and towards general AI. A list of topics includes but is not limited to:

  • Innovative applications of GP
  • Theoretical developments
  • GP performance and behaviour
  • Fitness landscape analysis of GP
  • Algorithms, representations and operators
  • Real-world applications
  • Search-based software engineering
  • Genetic improvement programming
  • Evolutionary design
  • Evolutionary robotics
  • Tree-based GP and Linear GP
  • Graph-based GP and Grammar-based GP
  • Evolvable hardware
  • Self-reproducing programs
  • Multi-population GP
  • Multi-objective GP
  • Fast/Parallel GP
  • Probabilistic GP
  • Evolution of automata or machines
  • Object-oriented GP
  • Hybrid architectures including GP
  • Coevolution in GP
  • Modularity in GP
  • Semantics in GP
  • Unconventional evolvable computation
  • Automatic software maintenance
  • Evolutionary inductive programming

EuroGP programme chairs:

  • Ting Hu
    Queen’s University, Canada
    ting.hu(at)queensu.ca
  • Nuno Lourenço
    University of Coimbra, Portugal
    naml(at)dei.uc.pt

EuroGP publication chair:

  • Eric Medvet 
    University of Trieste, Italy
    emedvet(at)units.it

Programme Committee

To be decided.

Publication Details

This year, we have a special focus on GP and artificial intelligence: GP for interpretable AI and towards general AI. All accepted papers will be printed in the proceedings published by Springer Verlag in the Lecture Notes in Computer Science (LNCS) series. Outstanding contributions may be recommended for publication in a special issue of the Genetic Programming and Evolvable Machines journal.

Previous editions of EuroGP were published in the following Springer Verlag LNCS volumes

2019 LNCS 11451
2018 LNCS 10781
2017 LNCS 10196
2016 LNCS 9594
2015 LNCS 9025
2014 LNCS 8599
2013 LNCS 7831
2012 LNCS 7244
2011 LNCS 6621
2010 LNCS 6021
2009 LNCS 5481
2008 LNCS 4971
2007 LNCS 4445
2006 LNCS 3905
2005 LNCS 3447
2004 LNCS 3003
2003 LNCS 2610
2002 LNCS 2278
2001 LNCS 2038
2000 LNCS 1802
1999 LNCS 1598
1998 LNCS 1391

The papers which receive the best reviews will be nominated for the Best Paper Award.

Submission Details

Submissions must be original and not published elsewhere. They will be peer reviewed by at least three members of the program committee. The reviewing process will be double-blind, so please omit information about the authors in the submitted paper. Submit your manuscript in Springer LNCS format. Page limit is 16 pages.

Authors of accepted papers will have to improve their paper on the basis of the reviewers’ comments and will be asked to send a camera ready version of their manuscripts. At least one author of each accepted work has to register for the conference, attend the conference and present the work.

Submission link: https://easychair.org/conferences/?conf=evo2020

Presentation details

  • Long talks: Your work will be presented in a 20 minute talk followed by a 5 minute discussion round. We also encourage you to bring and present a poster in the poster session to take advantage of a more informal and direct feedback.
  • Short talks (posters): Your work will be presented in a 10 minute talk (no discussion round) and in a poster session. Please be aware that oral and poster presentations are MANDATORY.

Further Information

EuroGP Conference Proceedings in SpringerLink

A comprehensive bibliography of genetic programming literature and links to related material is accessible at the Genetic Programming Bibliography web page, part of the Collection of Computer Science Bibliographies maintained and managed by William Langdon, Steven Gustafson, and John Koza.