Evostar 2019


The Leading European Event on Bio-Inspired Computation. Leipzig, Germany. 24-26 April 2019.

Call for papers:

EuroGP

22nd European Conference on Genetic Programming

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.

Areas of Interest and Contributions

This year, we have a special focus on real world and interdisciplinary applications of GP. 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

Programme Committee

  • Ignacio Arnaldo , Massachusetts Institute of Technology , USA
  • R. Muhammad Atif Azad , Birmingham City University , UK
  • Wolfgang Banzhaf , Michigan State University , USA
  • Helio Barbosa , Federal University of Juiz de Fora , Brazil
  • Heder Bernardino , Federal University of Juiz de Fora , Brazil
  • Anthony Brabazon , University College Dublin , Ireland
  • Stefano Cagnoni , University of Parma , Italy
  • Mauro Castelli , Universidade Nova de Lisboa , Portugal
  • Ernesto Costa , University of Coimbra , Portugal
  • Antonio Della Cioppa , University of Salerno , Italy
  • Marc Ebner , Universität Greifswald , Germany
  • Anna Isabel  Esparcia-Alcazar , Universitat Politècnica de València , Spain
  • Francisco Fernandez de Vega , Universidad de Extremadura , Spain
  • Gianluigi Folino , ICAR-CNR , Italy
  • James Foster , University of Idaho , USA
  • Christian Gagné , Université Laval , Canada
  • Jin-Kao Hao , University of Angers , France
  • Inman Harvey , University of Sussex , UK
  • Erik Hemberg , Massachusetts Institute of Technology , USA
  • Malcolm Heywood , Dalhousie University , Canada
  • Ting Hu , Memorial University , Canada
  • Domagoj Jakobović , University of Zagreb , Croatia
  • Colin Johnson , University of Kent , UK
  • Ahmed Kattan , Loughborough University , UK
  • Krzysztof Krawiec , Poznan University of Technology , Poland
  • Jiri Kubalik , Czech Technical University in Prague , Czech Republic
  • William B. Langdon , University College London , UK
  • Kwong Sak Leung , The Chinese University of Hong Kong , Hong Kong
  • Nuno Lourenço , University of Coimbra , Portugal
  • Penousal Machado , University of Coimbra , Portugal
  • Radek Matousek , Brno University of Technology , Czech Republic
  • James McDermott , University College Dublin , Ireland
  • Eric Medvet , University of Trieste , Italy
  • Julian Miller , University of York , UK
  • Xuan Hoai Nguyen , Hanoi University , Vietnam
  • Quang Uy Nguyen , Military Technical Academy , Vietnam
  • Miguel Nicolau , University College Dublin , Ireland
  • Julio Cesar Nievola , Pontificia Universidade Catolica do Parana , Brazil
  • Michael O'Neill , University College Dublin , Ireland
  • Una-May OReilly , Massachusetts Institute of Technology , USA
  • Ender Ozcan , University of Nottingham , UK
  • Gisele Pappa , Universidade Federal de Minas Gerais , Brazil
  • Andrew J. Parkes , University of Nottingham , UK
  • Tomasz Pawlak , Poznan University of Technology , Poland
  • Stjepan Picek , Delft University of Technology , Netherlands
  • Clara Pizzuti , Institute for High Performance Computing and Networking , Italy
  • Thomas Ray , University of Oklahoma , USA
  • Denis Robilliard , Univ Lille Nord de France , France
  • Peter Rockett , University of Sheffield , UK
  • Álvaro Rubio-Largo , Universidad de Extremadura , Spain
  • Conor Ryan , University of Limerick , Ireland
  • Lukas Sekanina , Brno University of Technology , Czech Republic
  • Marc Schoenauer , INRIA , France
  • Sara Silva , University of Lisbon , Portugal
  • Moshe Sipper , Ben-Gurion University , Isreal
  • Lee Spector , Hampshire College , USA
  • Jerry Swan , University of York , UK
  • Ivan Tanev , Doshisha University , Japan
  • Ernesto Tarantino , ICAR-CNR , Italy
  • Leonardo Trujillo , Instituto Tecnológico de Tijuana , Mexico
  • Leonardo Vanneschi , Universidade Nova de Lisboa , Portugal
  • Zdenek Vasicek , Brno University of Technology , Czech Republic
  • David White , University of Sheffield , UK
  • Man Leung Wong , Lingnan University , Hong Kong
  • Bing Xue , Victoria University of Wellington , New Zealand
  • Mengjie Zhang , Victoria University of Wellington , New Zealand

Further Information

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.

Genetic Programming Algorithms

Publication Details

All accepted papers will be printed in the proceedings published by Springer Verlag in the Lecture Notes in Computer Science (LNCS) series.

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

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://myreview.saclay.inria.fr/eurogp19

Presentation details

TBA

Accepted papers

Long presentations

A Genetic Programming Approach to Predict Mosquito Abundance
Riccardo Gervasi, Irene Azzali, Donal Bisanzio, Mario Giacobini, Andrea Mosca, Luigi Bertolotti

A Model of External Memory for Navigation in Partially Observative Visual Reinforcement Learning Tasks
Robert Smith, Malcolm Heywoo

Ariadne: Evolving test data using Grammatical Evolution
Muhammad sheraz Anjum, Conor Ryan

Can Genetic Programming Do Manifold Learning Too?
Andrew Lensen, Bing Xue, Mengjie Zhang

Cartesian GP as an Optimizer of Phenotypes Evolved with Geometric Semantic GP
Ondrej Koncal, Lukas Sekanina

Complex Network Analysis of a Genetic Programming Phenotype Network
Ting Hu, Marco Tomassini, Wolfgang Banzhaf

Fault Detection and Classification for Induction Motors using Genetic Programming
Yu Zhang, Ting Hu, Xiaodong Liang, Mohammad Zawad Ali, Md Nasmus Sakib Khan Shabbir

Improving Genetic Programming with Novel Exploration - Exploitation Control
Jonathan Kelly, Erik Hemberg, Una-May O'Reilly

Quantum Program Synthesis: Swarm Algorithms and Benchmarks
Timothy Atkinson, John Drake, Athena Karsa, Jerry Swan

Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions
Moshe Sipper, Jason Moore, Ryan Urbanowicz

Towards a Scalable EA-based Optimization of Digital Circuits
Jitka Kocnova, Zdenek Vasicek

Why is Auto-Encoding Difficult for Genetic Programming?
James McDermott

Short (Poster) presentations

A Vectorial Approach to Genetic Programming
Irene Azzali, Leonardo Vanneschi, Sara Silva, Illya Bakurov, Mario Giacobini

Comparison of Genetic Programming Methods on Design of Cryptographic Boolean Functions
Jakub Husa

Evolving AVX512 Parallel C Code using GP
W. Langdon, R. Lorenz

Fast DENSER: Efficient Deep NeuroEvolution
Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro

Hyper-bent Boolean Functions and Evolutionary Algorithms
Luca Mariot, Domagoj Jakobovic, Alberto Leporati, Stjepan Picek

Learning Class Disjointness Axioms Using Grammatical Evolution
Thu Huong Nguyen, Andrea G.B. Tettamanzi

Important dates:

Submission Deadline: 1 November 2018
EXTENDED SUBMISSION DEADLINE: 12 November 2018
Notification: 14 January 2019
Camera-ready: 11 February
Mandatory registration per paper: TBA
Early registration discount: TBA
Registration deadline: TBA
EvoStar dates: 24-26 April 2019

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