EuroGP Accepted Papers

Long Talks

  • A Self-Adaptive Approach to Exploit Topological Properties of Different GAs’ Crossover Operators
    José Ferreira, Mauro Castelli, Luca Manzoni and Gloria Pietropolli
  • A Genetic Programming Encoder for Increasing Autoencoder Interpretability (EML joint track)
    Finn Schofield, Andrew Lensen and Luis Slyfield
  • Graph Networks as Inductive Bias for Genetic Programming: Symbolic Models for Particle-Laden Flows (EML joint track)
    Julia Reuter, Sanaz Mostaghim, Hani Elmestikawy, Fabien Evrard and Berend van Wachem
  • Phenotype Search Trajectory Networks for Linear Genetic Programming
    Ting Hu, Gabriela Ochoa and Wolfgang Banzhaf
  • GPAM: Genetic Programming with Associative Memory
    Tadeas Juza and Lukas Sekanina
  • MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning (EML joint track)
    Hengzhe Zhang, Qi Chen, Alberto Tonda, Bing Xue, Wolfgang Banzhaf and Mengjie Zhang
  • Small Solutions for Real-World Symbolic Regression using Denoising Autoencoder Genetic Programming
    David Wittenberg and Franz Rothlauf
  • Grammar-aware self-adaptive mutation operator
    Pedro Carvalho, Jessica Mégane, Nuno Lourenço and Penousal Machado
  • A Boosting Approach to Constructing an Ensemble Stack (EML joint track)
    Zhilei Zhou, Ziyu Qiu, Brad Niblett, Andrew Johnston, Jeffrey Schwartzentruber, Nur Zincir-Heywood and Malcolm Heywood
  • Adaptive Batch Size CGP: Improving accuracy and runtime for CGP Logic Optimization flow
    Bryan Martins Lima, Naiara Sachetti, Augusto Berndt, Cristina Meinhardt and Jonata Tyska Carvalho
  • Faster Convergence with Lexicase Selection in Tree-based Automated Machine Learning
    Nicholas Matsumoto, Anil Saini, Sandra Batista, Jason Moore, Pedro Ribeiro, Alena Orlenko, Hyunjun Choi, Leo-Pekka Lyytikäinen, Jari Laurikka and Terho Lehtimäki
  • Using FPGA Devices to Accelerate Tree-Based Genetic Programming: A Preliminary Exploration with Recent Technologies
    Christopher Crary, Wesley Piard, Greg Stitt, Caleb Bean and Benjamin Hicks
  • Memetic Semantic Genetic Programming for Symbolic Regression
    Alessandro Leite and Marc Schoenauer
  • Grammatical Evolution with Code2Vec
    Michał Kowalczykiewicz and Piotr Lipinski

Short Talks

  • Domain-Aware Feature Learning with Grammar-Guided Genetic Programming
    Leon Ingelse and Alcides Fonseca
  • Genetic Improvement of LLVM Intermediate Representation
    W B Langdon, Afnan Al-Subaihin, Aymeric Blot and David Clark
  • Spatial Genetic Programming (EML joint track)
    Iliya Miralavy and Wolfgang Banzhaf
  • All You Need Is Sex for Diversity
    José Maria Simões, Nuno Lourenço and Penousal Machado
  • On the Effects of Collaborators Selection and Aggregation in Cooperative Coevolution: an Experimental Analysis
    Giorgia Nadizar and Eric Medvet
  • To bias or not to bias: Probabilistic initialisation for evolving dispatching rules
    Marko Đurasević, Francisco Javier Gil-Gala and Domagoj Jakobovic
  • MTGP: Combining Metamorphic Testing and Genetic Programming
    Dominik Sobania, Martin Briesch, Philipp Röchner and Franz Rothlauf
  • Interacting Robots in a Artificial Evolutionary Ecosystem
    Matteo De Carlo, Eliseo Ferrante, Jacintha Ellers, Gerben Meynen and A. E. Eiben