| 2026 | GECCO | Exploring Multi-objective Approaches for Rule Generation in Rule-based Machine Learning. | David von Proeck, Jonathan Wurth, Jrg Hhner, Michael Heider |
| 2026 | PPSN | Decomposing Anytime Algorithm Performance with Bayesian Ranking ANOVA. | Jonathan Wurth, Helena Stegherr, Michael Heider, Jrg Hhner |
| 2025 | GECCO | A Comparison of Dimensionality Reduction Techniques for Visualising Search Behaviour. | Helena Stegherr, Michael Heider, Jonathan Wurth, Jrg Hhner |
| 2024 | GECCO | GRAHF: A Hyper-Heuristic Framework for Evolving Heterogeneous Island Model Topologies. | Jonathan Wurth, Helena Stegherr, Michael Heider, Jrg Hhner |
| 2023 | GECCO | Fast, Flexible, and Fearless: A Rust Framework for the Modular Construction of Metaheuristics. | Jonathan Wurth, Helena Stegherr, Michael Heider, Leopold Luley, Jrg Hhner |
| 2022 | GECCO | Separating rule discovery and global solution composition in a learning classifier system. | Michael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj, Jrg Hhner |
| 2022 | GECCO | Comparing different metaheuristics for model selection in a supervised learning classifier system. | Jonathan Wurth, Michael Heider, Helena Stegherr, Roman Sraj, Jrg Hhner |
| 2022 | IJCCI | Approaches for Rule Discovery in a Learning Classifier System. | Michael Heider, Helena Stegherr, David Ptzel, Roman Sraj, Jonathan Wurth, Benedikt Volger, Jrg Hhner |