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TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming2025 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Evolutionary Algorithms and Applications Open access
Roman Kalkreuth, Fabrício Olivetti de França, Anja Jankovič, Marie Anastacio, Zdeněk Vašíček, Holger H. Hoos
3citations -
Challenges of ELA-Guided Function Evolution Using Genetic Programming2023 International Joint Conference on Computational Intelligence conference-paper Computer Science Evolutionary Algorithms and Applications Open access
Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, +1 more
8citations -
Improving Evaluation of Recombination-based Cartesian Genetic Programming2026 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Evolutionary Algorithms and Applications Open access
Duy Long Tran, Anja Jankovič, Marie Anastacio, Holger H. Hoos, Roman Kalkreuth
0citations -
Evolvability degeneration in multi-objective genetic programming for symbolic regression2022 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access
Dazhuang Liu, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
15citations -
On genetic programming representations and fitness functions for interpretable dimensionality reduction2022 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access
Thomas Uriot, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
18citations -
Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals2024 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access
Evi Sijben, Jeroen C. Jansen, Peter A. N. Bosman, Tanja Alderliesten
2citations -
Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals2024 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access
E. M. C. Sijben, Jeroen C. Jansen, Peter A. N. Bosman, Tanja Alderliesten
0citations -
Challenges of ELA-based Function Evolution using Genetic Programming - Reproducability files2023 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Evolutionary Algorithms and Applications Open access
Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, +1 more
0citations -
Challenges of ELA-based Function Evolution using Genetic Programming - Reproducability files2023 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Evolutionary Algorithms and Applications Open access
Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, +1 more
0citations -
Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning2023 ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/) conference-paper Computer Science Evolutionary Algorithms and Applications Open access
Marco Virgolin, Eric Medvet, Tanja Alderliesten, Peter A. N. Bosman
0citations