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