EuroGP Accepted Papers

Long Talks

  • Multi-objective GP with AWS for Symbolic Regression
    Christian Raymond, Qi Chen, Bing Xue and Mengjie Zhang
  • On the Schedule for Morphological Development of Evolved Modular Soft Robots
    Giorgia Nadizar, Eric Medvet and Karine Miras
  • Genetic Programming-Based Inverse Kinematics for Robotic Manipulators
    Julia Reuter, Christoph Steup and Sanaz Mostaghim
  • Combining Geometric Semantic GP with Gradient-descent Optimization
    Gloria Pietropolli, Luca Manzoni, Alessia Paoletti and Mauro Castelli
  • One-Shot Learning of Ensembles of Temporal Logic Formulas for Anomaly Detection in Cyber-Physical Systems
    Patrick Indri, Alberto Bartoli, Eric Medvet and Laura Nenzi
  • Evolutionary design of reduced precision levodopa-induced dyskinesia classifiers
    Martin Hurta, Michaela Drahosova, Lukas Sekanina, Stephen L. Smith and Jane E. Alty
  • Program Synthesis with Genetic Programming: The Influence of Batch Sizes
    Dominik Sobania and Franz Rothlauf
  • An Investigation of Multitask Linear Genetic Programming for Dynamic Job Shop Scheduling
    Zhixing Huang, Fangfang Zhang, Yi Mei and Mengjie Zhang
  • Using Denoising Autoencoder LSTM Networks to control Exploration and Exploitation in Estimation of Distribution Genetic Programming
    David Wittenberg
  • Cooperative Co-Evolution and Adaptive Team Composition for a Multi-Rover Resources Allocation Problem
    Nicolas Fontbonne, Nicolas Maudet and Nicolas Bredeche
  • Evolving Adaptive Neural Network Optimizers for Image Classification
    Pedro Carvalho, Nuno Lourenço and Penousal Machado
  • SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming
    Nuno Rodrigues, João Batista, William La Cava, Leonardo Vanneschi and Sara Silva

Short Talks

  • Exploiting Knowledge from Code to Guide Program Search
    Dirk Schweim, Erik Hemberg, Dominik Sobania and Una-May O’Reilly
  • Accurate and Interpretable Representations of Environments with Anticipatory Learning Classifier Systems
    Romain Orhand, Anne Jeannin-Girardon, Pierre Parrend and Pierre Collet
  • Synthesizing Programs from Program Pieces using Genetic Programming and Refinement Type Checking
    Sabrina Tseng, Erik Hemberg and Una-May O’Reilly
  • Permutation-Invariant Representation of Neural Networks with Neuron Embeddings
    Ryan Zhou, Christian Muise and Ting Hu
  • Multi-Objective Genetic Programming for Explainable Reinforcement Learning
    Mathurin Videau, Alessandro Leite, Olivier Teytaud and Marc Schoenauer
  • Creating Diverse Ensembles for Classification with Genetic Programming and Neuro-MAP-Elites
    Kyle Nickerson, Ting Hu and Antonina Kolokolova
  • Evolving Monotone Conjunctions in Regimes Beyond Proved Convergence
    Pantia Marina Alchirch, Dimitrios I. Diochnos and Katia Papakonstantinopoulou