| 2026 | EUROGP | New Perspectives on Cartesian Genetic Programming: A Survey. | Mark Kocherovsky, Henning Cui, Illya Bakurov, Michael Heider, Roman Kalkreuth, Wolfgang Banzhaf |
| 2026 | GECCO | Phase-Alternation and Tree-Initialization to Facilitate Interpretable Rule-based Machine Learning. | Gabriel Lipschutz-Villa, Harsh Bandhey, Khoi Dinh, Michael Heider, Malek Kamoun, Ryan J. Urbanowicz |
| 2026 | GECCO | Exploring Multi-objective Approaches for Rule Generation in Rule-based Machine Learning. | David von Proeck, Jonathan Wurth, Jrg Hhner, Michael Heider |
| 2026 | GECCO | Recent Advances in Evolutionary Rule-Based Machine Learning (2024 to 2026). | Connor Schnberner, Hiroki Shiraishi, Fumito Uwano, Michael Heider |
| 2026 | PPSN | Decomposing Anytime Algorithm Performance with Bayesian Ranking ANOVA. | Jonathan Wurth, Helena Stegherr, Michael Heider, Jrg Hhner |
| 2025 | EUROGP | Ant-Based Metaheuristics Struggle to Solve the Cartesian Genetic Programming Learning Task. | Julian Trautwein, Michael Heider, Henning Cui, Jrg Hhner |
| 2025 | GECCO | How to Design an LCS to Create Explainable AI Models for Real-World Applications. | Michael Heider |
| 2025 | GECCO | A Comparison of Dimensionality Reduction Techniques for Visualising Search Behaviour. | Helena Stegherr, Michael Heider, Jonathan Wurth, Jrg Hhner |
| 2024 | CEC | Exploring Self-Adaptive Genetic Algorithms to Combine Compact Sets of Rules. | Michael Heider, Maximilian Krischan, Roman Sraj, Jrg Hhner |
| 2024 | GECCO | A Survey on Learning Classifier Systems from 2022 to 2024. | Abubakar Siddique, Michael Heider, Muhammad Iqbal, Hiroki Shiraishi |
| 2024 | GECCO | GRAHF: A Hyper-Heuristic Framework for Evolving Heterogeneous Island Model Topologies. | Jonathan Wurth, Helena Stegherr, Michael Heider, Jrg Hhner |
| 2024 | ICINCO | A Taxonomy for Complexity Estimation of Machine Data in Machine Health Applications. | Lukas Meitz, Michael Heider, Thorsten Schler, Jrg Hhner |
| 2024 | PPSN | Positional Bias Does Not Influence Cartesian Genetic Programming with Crossover. | Henning Cui, Michael Heider, Jrg Hhner |
| 2023 | DATA | On Data-Preprocessing for Effective Predictive Maintenance on Multi-Purpose Machines. | Lukas Meitz, Michael Heider, Thorsten Schler, Jrg Hhner |
| 2023 | GECCO | Towards Principled Synthetic Benchmarks for Explainable Rule Set Learning Algorithms. | David Ptzel, 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 |
| 2023 | IJCCI | Towards Understanding Crossover for Cartesian Genetic Programming. | Henning Cui, Andreas Margraf, Michael Heider, Jrg Hhner |
| 2023 | IJCCI | Assisting Convergence Behaviour Characterisation with Unsupervised Clustering. | Helena Stegherr, Michael Heider, Jrg Hhner |
| 2022 | GECCO | An overview of LCS research from 2021 to 2022. | Michael Heider, David Ptzel, Alexander R. M. Wagner |
| 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 |
| 2021 | GECCO | An overview of LCS research from 2020 to 2021. | David Ptzel, Michael Heider, Alexander R. M. Wagner |
| 2021 | GECCO | Design of large-scale metaheuristic component studies. | Helena Stegherr, Michael Heider, Leopold Luley, Jrg Hhner |
| 2021 | ICINCO | CAD-based Grasp and Motion Planning for Process Automation in Fused Deposition Modelling. | Andreas Wiedholz, Michael Heider, Richard Nordsieck, Andreas Angerer, Simon Dietrich, Jrg Hhner |
| 2020 | GECCO | Towards a Pittsburgh-style LCS for learning manufacturing machinery parametrizations. | Michael Heider, David Ptzel, Jrg Hhner |
| 2019 | GI | Increasing Reliability in FDM Manufacturing. | Michael Heider |
| 2019 | ICINCO | Towards Automated Parameter Optimisation of Machinery by Persisting Expert Knowledge. | Richard Nordsieck, Michael Heider, Andreas Angerer, Jrg Hhner |
| 2016 | VRST | Robot gardens: an augmented reality prototype for plant-robot biohybrid systems. | Sebastian von Mammen, Heiko Hamann, Michael Heider |