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ORCID26th EuroGP 2023: Brno, Czech Republic
- Gisele L. Pappa
, Mario Giacobini, Zdenek Vasícek:
Genetic Programming - 26th European Conference, EuroGP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, Proceedings. Lecture Notes in Computer Science 13986, Springer 2023, ISBN 978-3-031-29572-0
Long Presentations
- José Ferreira, Mauro Castelli, Luca Manzoni, Gloria Pietropolli:
A Self-Adaptive Approach to Exploit Topological Properties of Different GAs' Crossover Operators. 3-18 - Finn Schofield, Luis Slyfield, Andrew Lensen:
A Genetic Programming Encoder for Increasing Autoencoder Interpretability. 19-35 - Julia Reuter, Hani Elmestikawy, Fabien Evrard, Sanaz Mostaghim, Berend G. M. van Wachem:
Graph Networks as Inductive Bias for Genetic Programming: Symbolic Models for Particle-Laden Flows. 36-51 - Ting Hu, Gabriela Ochoa, Wolfgang Banzhaf:
Phenotype Search Trajectory Networks for Linear Genetic Programming. 52-67 - Tadeas Juza, Lukás Sekanina:
GPAM: Genetic Programming with Associative Memory. 68-83 - Hengzhe Zhang, Qi Chen, Alberto Tonda, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning. 84-100 - David Wittenberg, Franz Rothlauf:
Small Solutions for Real-World Symbolic Regression Using Denoising Autoencoder Genetic Programming. 101-116 - Pedro Carvalho, Jessica Mégane, Nuno Lourenço, Penousal Machado:
Context Matters: Adaptive Mutation for Grammars. 117-132 - Zhilei Zhou, Ziyu Qiu, Brad Niblett, Andrew Johnston, Jeffrey Schwartzentruber, Nur Zincir-Heywood, Malcolm I. Heywood:
A Boosting Approach to Constructing an Ensemble Stack. 133-148 - Bryan Martins Lima, Naiara Sachetti, Augusto Andre Souza Berndt, Cristina Meinhardt, Jônata Tyska Carvalho:
Adaptive Batch Size CGP: Improving Accuracy and Runtime for CGP Logic Optimization Flow. 149-164 - 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:
Faster Convergence with Lexicase Selection in Tree-Based Automated Machine Learning. 165-181 - Christopher Crary, Wesley Piard, Greg Stitt, Caleb Bean, Benjamin M. Hicks:
Using FPGA Devices to Accelerate Tree-Based Genetic Programming: A Preliminary Exploration with Recent Technologies. 182-197 - Alessandro Ferreira Leite, Marc Schoenauer:
Memetic Semantic Genetic Programming for Symbolic Regression. 198-212 - Michal Kowalczykiewicz, Piotr Lipinski:
Grammatical Evolution with Code2vec. 213-224
Short Presentations
- Leon Ingelse, Alcides Fonseca:
Domain-Aware Feature Learning with Grammar-Guided Genetic Programming. 227-243 - William B. Langdon, Afnan A. Al-Subaihin, Aymeric Blot, David Clark:
Genetic Improvement of LLVM Intermediate Representation. 244-259 - Iliya Miralavy, Wolfgang Banzhaf:
Spatial Genetic Programming. 260-275 - José Maria Simões, Nuno Lourenço, Penousal Machado:
All You Need is Sex for Diversity. 276-291 - Giorgia Nadizar, Eric Medvet:
On the Effects of Collaborators Selection and Aggregation in Cooperative Coevolution: An Experimental Analysis. 292-307 - Marko Durasevic, Francisco Javier Gil Gala, Domagoj Jakobovic:
To Bias or Not to Bias: Probabilistic Initialisation for Evolving Dispatching Rules. 308-323 - Dominik Sobania, Martin Briesch, Philipp Röchner, Franz Rothlauf:
MTGP: Combining Metamorphic Testing and Genetic Programming. 324-338 - Matteo De Carlo, Eliseo Ferrante, Jacintha Ellers, Gerben Meynen, A. E. Eiben:
Interacting Robots in an Artificial Evolutionary Ecosystem. 339-354
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