| 2023 | GECCO | Evolutionary Algorithms for Segment Optimization in Vectorial GP. | Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Sara Silva, Leonardo Vanneschi, Michael Affenzeller |
| 2022 | SYNASC | Application of Symbolic Regression in Polymer Processing. | Wolfgang Roland, Michael Kommenda, Gerald R. Berger-Weber |
| 2020 | GECCO | Operon C++: an efficient genetic programming framework for symbolic regression. | Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda |
| 2019 | CEC | Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure. | Bogdan Burlacu, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda |
| 2019 | GECCO | Parsimony measures in multi-objective genetic programming for symbolic regression. | Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Michael Affenzeller |
| 2018 | GECCO | Predicting friction system performance with symbolic regression and genetic programming with factor variables. | Gabriel Kronberger, Michael Kommenda, Andreas Promberger, Falk Nickel |
| 2017 | GECCO | Dynamic observation of genotypic and phenotypic diversity for different symbolic regression GP variants. | Michael Affenzeller, Stephan M. Winkler, Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Stefan Wagner |
| 2017 | GECCO | Towards the design and implementation of optimization networks in HeuristicLab. | Johannes Karder, Stefan Wagner, Andreas Beham, Michael Kommenda, Michael Affenzeller |
| 2016 | IJCCI | Robust Fuzzy Modeling and Symbolic Regression for Establishing Accurate and Interpretable Prediction Models in Supervising Tribological Systems. | Edwin Lughofer, Gabriel Kronberger, Michael Kommenda, Susanne Saminger-Platz, Andreas Promberger, Falk Nickel, Stephan M. Winkler, Michael Affenzeller |
| 2015 | GECCO | Simplifying Problem Definitions in the HeuristicLab Optimization Environment. | Andreas Scheibenpflug, Andreas Beham, Michael Kommenda, Johannes Karder, Stefan Wagner, Michael Affenzeller |
| 2014 | GECCO | Scripting and framework integration in heuristic optimization environments. | Andreas Beham, Johannes Karder, Gabriel Kronberger, Stefan Wagner, Michael Kommenda, Andreas Scheibenpflug |
| 2014 | GECCO | Genetic programming with data migration for symbolic regression. | Michael Kommenda, Michael Affenzeller, Bogdan Burlacu, Gabriel Kronberger, Stephan M. Winkler |
| 2013 | GECCO | Visualization of genetic lineages and inheritance information in genetic programming. | Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Stephan M. Winkler, Gabriel Kronberger |
| 2013 | GECCO | Effects of constant optimization by nonlinear least squares minimization in symbolic regression. | Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Stefan Wagner |
| 2013 | GECCO | GPDL: a framework-independent problem definition language for grammar-guided genetic programming. | Gabriel Kronberger, Michael Kommenda, Stefan Wagner, Heinz Dobler |
| 2012 | GECCO | On the architecture and implementation of tree-based genetic programming in HeuristicLab. | Michael Kommenda, Gabriel Kronberger, Stefan Wagner, Stephan M. Winkler, Michael Affenzeller |
| 2011 | GECCO | Overfitting detection and adaptive covariant parsimony pressure for symbolic regression. | Gabriel Kronberger, Michael Kommenda, Michael Affenzeller |