| 2023 | A Boosting Approach to Constructing an Ensemble Stack. Zhilei Zhou, Ziyu Qiu, Brad Niblett, Andrew Johnston, Jeffrey Schwartzentruber, Nur Zincir-Heywood, Malcolm I. Heywood |
| 2023 | A Genetic Programming Encoder for Increasing Autoencoder Interpretability. Finn Schofield, Luis Slyfield, Andrew Lensen |
| 2023 | A Self-Adaptive Approach to Exploit Topological Properties of Different GAs' Crossover Operators. José Ferreira, Mauro Castelli, Luca Manzoni, Gloria Pietropolli |
| 2023 | Adaptive Batch Size CGP: Improving Accuracy and Runtime for CGP Logic Optimization Flow. Bryan Martins Lima, Naiara Sachetti, Augusto Andre Souza Berndt, Cristina Meinhardt, Jônata Tyska Carvalho |
| 2023 | All You Need is Sex for Diversity. José Maria Simões, Nuno Lourenço, Penousal Machado |
| 2023 | Context Matters: Adaptive Mutation for Grammars. Pedro Carvalho, Jessica Mégane, Nuno Lourenço, Penousal Machado |
| 2023 | Domain-Aware Feature Learning with Grammar-Guided Genetic Programming. Leon Ingelse, Alcides Fonseca |
| 2023 | Faster Convergence with Lexicase Selection in Tree-Based Automated Machine Learning. Nicholas Matsumoto, Anil Kumar Saini, Pedro Henrique Ribeiro, Hyunjun Choi, Alena Orlenko, Leo-Pekka Lyytikäinen, Jari O. Laurikka, Terho Lehtimäki, Sandra Batista, Jason H. Moore |
| 2023 | GPAM: Genetic Programming with Associative Memory. Tadeas Juza, Lukás Sekanina |
| 2023 | Genetic Improvement of LLVM Intermediate Representation. William B. Langdon, Afnan A. Al-Subaihin, Aymeric Blot, David Clark |
| 2023 | Genetic Programming - 26th European Conference, EuroGP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, Proceedings Gisele L. Pappa, Mario Giacobini, Zdenek Vasícek |
| 2023 | Grammatical Evolution with Code2vec. Michal Kowalczykiewicz, Piotr Lipinski |
| 2023 | Graph Networks as Inductive Bias for Genetic Programming: Symbolic Models for Particle-Laden Flows. Julia Reuter, Hani Elmestikawy, Fabien Evrard, Sanaz Mostaghim, Berend G. M. van Wachem |
| 2023 | Interacting Robots in an Artificial Evolutionary Ecosystem. Matteo De Carlo, Eliseo Ferrante, Jacintha Ellers, Gerben Meynen, A. E. Eiben |
| 2023 | MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning. Hengzhe Zhang, Qi Chen, Alberto Tonda, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2023 | MTGP: Combining Metamorphic Testing and Genetic Programming. Dominik Sobania, Martin Briesch, Philipp Röchner, Franz Rothlauf |
| 2023 | Memetic Semantic Genetic Programming for Symbolic Regression. Alessandro Ferreira Leite, Marc Schoenauer |
| 2023 | On the Effects of Collaborators Selection and Aggregation in Cooperative Coevolution: An Experimental Analysis. Giorgia Nadizar, Eric Medvet |
| 2023 | Phenotype Search Trajectory Networks for Linear Genetic Programming. Ting Hu, Gabriela Ochoa, Wolfgang Banzhaf |
| 2023 | Small Solutions for Real-World Symbolic Regression Using Denoising Autoencoder Genetic Programming. David Wittenberg, Franz Rothlauf |
| 2023 | Spatial Genetic Programming. Iliya Miralavy, Wolfgang Banzhaf |
| 2023 | To Bias or Not to Bias: Probabilistic Initialisation for Evolving Dispatching Rules. Marko Durasevic, Francisco Javier Gil Gala, Domagoj Jakobovic |
| 2023 | Using FPGA Devices to Accelerate Tree-Based Genetic Programming: A Preliminary Exploration with Recent Technologies. Christopher Crary, Wesley Piard, Greg Stitt, Caleb Bean, Benjamin M. Hicks |