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