The 29th European Conference on Genetic Programming (EuroGP) 2026 conference will take place as part of EvoStar (Evo*).

EuroGP is the premier annual conference on Genetic Programming (GP), 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.

You can consult the proceedings of previous events at 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.

Download the CFP in PDF here.

Conference Chairs

  • Luca Manzoni
    Università degli studi di Trieste, Italy
    lmanzoni(at)units.it
  • Sylvain Cussat-Blanc
    Univeristy of Toulouse, France
    sylvain.cussat-blanc(at)irit.fr

Publication Chair

  • Qi Chen
    Victoria University of Wellington, New Zeeland
    qi.chen (at) vuw.ac.nz

Areas of Interest and Contributions

Topics to be covered include, but is not limited to:

  • Methodological advances:
    • Algorithms, representations, and operators for GP
    • Surrogate models and fitness approximation in GP
    • Explainability and interpretability in GP
    • GP representations: tree-based, linear, graph-based, grammar-based
    • Evolutionary design
    • Multiple populations, coevolution, and modularity in GP
    • Multi-objective GP
    • Theoretical developments
  • Infrastructure and Evaluation Methodologies:
    • Benchmarking frameworks and reproducibility in GP
    • Scalable, parallel, and distributed GP systems
    • GP in embedded and resource-constrained environments
    • Tools and techniques for visualization and analysis tools of GP systems
  • Meta-evolution and Self-adaptation:
    • Self-adaptive and self-configuring GP
    • AutoML and GP-based pipeline optimization
    • Meta-learning and evolution of GP parameters and operators
  • Applications:
    • GP for scientific discovery and symbolic modeling
    • GP for continuous control and evolutionary robotics
    • Real-world applications of GP in medicine, finance, etc.
    • Evolvable hardware
    • GP for data privacy, security, and adversarial robustness
    • Genetic improvement and GP for software engineering
    • Program synthesis and inductive programming via GP
  • Hybrid and Unconventional Approaches:
    • Hybridization of GP with other machine learning methods
    • Neuroevolution and neural-GP hybrids
    • Integration of GP with swarm intelligence or other evolutionary paradigms
    • Unconventional GP paradigms
    • Open-ended GP systems

Submission Details

Accepted papers will be published by Springer Nature in the Lecture Notes in Computer Science series. 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.

Follow these instructions to submit a paper.

Programme Committee

Wolfgang Banzhaf, Michigan State University, USA
Ying Bi, Victoria University of Wellington, China
Stefano Cagnoni, University of Parma, Italy
Mauro Castelli, ISEGI,Universidade Nova de Lisboa, Portugal
Qi Chen, Victoria University of Wellington, New Zealand
Ernesto Costa, University of Coimbra, Portugal
Andrea De Lorenzo, University of Trieste, Italy
Mario Giacobini, University of Torino, Italy
Jin-Kao Hao, University of Angers, France, France
Erik Hemberg, ALFA, USA
Malcolm Heywood, Dalhousie University, Canada
Ting Hu, Queen’s University, Canada
Zhixing Huang, Victoria University of Wellington, New Zealand
Giovanni Iacca, University of Trento, Italy
Domagoj Jakobovic, Faculty of Electrical Engineering and Computing, Croatia
Krzysztof Krawiec, Poznan University of Technology, Poland
W B Langdon, University College London, UK
Yuri Lavinas, University of Toulouse, France
Nuno Lourenço, University of Coimbra, CISUC, DEI, LASI, Portugal
Herve Luga, IRIT-UT1C, France
Evelyne Lutton, INRAE, France
James McDermott, University of Galway, Ireland
Eric Medvet, University of Trieste, Italy
Yi Mei, Victoria University of Wellington, New Zealand
Alberto Moraglio, University of Exeter, UK
Aidan Murphy, University College Dublin, Ireland
Fabrício Olivetti De França, Universidade Federal do ABC – UFABC, Brazil
Gisele Pappa, UFMG, Brazil
Stjepan Picek, Radboud University, The Netherlands
Gloria Pietropolli, University of Trieste, Italy
Peter Rockett, The University of Sheffield, UK
Lukas Sekanina, Brno University of Technology, Czech Republic
Sara Silva, Universidade de Lisboa, Portugal
Moshe Sipper, Ben-Gurion University of the Negev, Israel
Ernesto Tarantino, ICAR-CNR, Italy
Alberto Tonda, INRA – France, France
Leonardo Trujillo, Instituto Tecnológico de Tijuana, México
Leonardo Vanneschi, Universidade NOVA de Lisboa, Portugal
Dennis Wilson, ISAE-Supaero, France
Man Leung Wong, Lingnan University, Hong Kong
Mengjie Zhang, Victoria University of Wellington, New Zealand