| 2026 | EvoMUSART | Multi-objective Evolution of Diffusion Model Prompt Embeddings Using CLIP-IQA. | Marcel Salvenmoser, Michael Affenzeller |
| 2025 | EvoMUSART | Evolving the Embedding Space of Diffusion Models in the Field of Visual Arts. | Marcel Salvenmoser, Michael Affenzeller |
| 2025 | GECCO | Open-Ended Evolution of Artistic Styles in Diffusion Models via Island-Based Genetic Algorithms. | Marcel Salvenmoser, Michael Affenzeller |
| 2025 | GECCO | Continuous Pruning for Symbolic Regression. | Bernhard Werth, Michael Affenzeller |
| 2025 | GECCO | Design, Containerization and Performance of Distributed Evolutionary Computation. | Jan Zenisek, Florian Bachinger, Christian Haider, Florian Holzinger, Philipp Neuhauser, Erik Pitzer, Stefan Wagner, Michael Affenzeller |
| 2024 | ICML | Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization. | Hao Wang, Kaifeng Yang, Michael Affenzeller |
| 2023 | EMO | Surrogate-assisted Multi-objective Optimization via Genetic Programming Based Symbolic Regression. | Kaifeng Yang, Michael Affenzeller |
| 2023 | GECCO | Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation. | Du Nguyen Duy, Michael Affenzeller, Ramin Nikzad-Langerodi |
| 2023 | GECCO | Evolutionary Algorithms for Segment Optimization in Vectorial GP. | Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Sara Silva, Leonardo Vanneschi, Michael Affenzeller |
| 2023 | GECCO | A New Acquisition Function for Multi-objective Bayesian Optimization: Correlated Probability of Improvement. | Kaifeng Yang, Kai Chen, Michael Affenzeller, Bernhard Werth |
| 2023 | ICNC | Gradients of Acquisition Functions for Bi-objective Bayesian optimization. | Kaifeng Yang, Sixuan Liu, Michael Affenzeller, Guozhi Dong |
| 2022 | DaWaK | Outlier/Anomaly Detection of Univariate Time Series: A Dataset Collection and Benchmark. | David Muhr, Michael Affenzeller |
| 2022 | SYNASC | Prescriptive Analytics: When Data- and Simulation-based Models Interact in a Cooperative Way. | Michael Affenzeller, Michael Bgl, Lukas Fischer, Florian Sobieczky, Kaifeng Yang, Jan Zenisek |
| 2021 | CEC | Cheating Like The Neighbors: Logarithmic Complexity For Fitness Evaluation In Genetic Algorithms. | Erik Pitzer, Michael Affenzeller |
| 2021 | GECCO | Multi tree operators for genetic programming to identify optimal energy flow controllers. | Kathrin Kefer, Roland Hanghofer, Patrick Kefer, Markus Stger, Bernd Hofer, Michael Affenzeller, Stephan M. Winkler |
| 2020 | GECCO | Solution approaches for the dynamic stacking problem. | Sebastian Raggl, Andreas Beham, Stefan Wagner, Michael Affenzeller |
| 2020 | ICSE | Towards Knowledge-guided Genetic Improvement. | Oliver Krauss, Hanspeter Mssenbck, Michael Affenzeller |
| 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 | Uncertainty in real-world steel stacking problems. | Andreas Beham, Sebastian Raggl, Stefan Wagner, Michael Affenzeller |
| 2019 | GECCO | Parsimony measures in multi-objective genetic programming for symbolic regression. | Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Michael Affenzeller |
| 2019 | ICSE | Mining patterns from genetic improvement experiments. | Oliver Krauss, Hanspeter Mssenbck, Michael Affenzeller |
| 2018 | DEPCoS | Local Optima Networks in Solving Algorithm Selection Problem for TSP. | Wojciech Bozejko, Andrzej Gnatowski, Teodor Nizynski, Michael Affenzeller, Andreas Beham |
| 2018 | GECCO | Algorithm selection on generalized quadratic assignment problem landscapes. | Andreas Beham, Stefan Wagner, Michael Affenzeller |
| 2018 | GECCO | Schema-based diversification in genetic programming. | Bogdan Burlacu, Michael Affenzeller |
| 2018 | GECCO | Confidence-based ensemble modeling in medical data mining. | Lukas Kammerer, Michael Affenzeller |
| 2018 | GECCO | Asynchronous surrogate-assisted optimization networks. | Johannes Karder, Andreas Beham, Bernhard Werth, Stefan Wagner, Michael Affenzeller |
| 2018 | GECCO | Dynamic fitness functions for genetic improvement in compilers and interpreters. | Oliver Krauss, Hanspeter Mssenbck, Michael Affenzeller |
| 2018 | GECCO | Discrete real-world problems in a black-box optimization benchmark. | Sebastian Raggl, Andreas Beham, Viktoria A. Hauder, Stefan Wagner, Michael Affenzeller |
| 2018 | GECCO | Quasi-bistability of walk-based landscape measures in stochastic fitness landscapes. | Bernhard Werth, Erik Pitzer, Gerald Ostermayer, Michael Affenzeller |
| 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 | Instance-based algorithm selection on quadratic assignment problem landscapes. | Andreas Beham, Michael Affenzeller, Stefan Wagner |
| 2017 | GECCO | Optimization networks for real-world production and logistics problems. | Viktoria A. Hauder, Andreas Beham, Stefan Wagner, Michael Affenzeller |
| 2017 | GECCO | Towards the design and implementation of optimization networks in HeuristicLab. | Johannes Karder, Stefan Wagner, Andreas Beham, Michael Kommenda, Michael Affenzeller |
| 2017 | GECCO | Enabling high-dimensional surrogate-assisted optimization by using sliding windows. | Bernhard Werth, Erik Pitzer, Michael Affenzeller |
| 2016 | GECCO | Evolutionary Computation Software Systems (EvoSoft) Workshop 2016 Chairs' Welcome & Organization. | Stefan Wagner, Michael Affenzeller |
| 2016 | GECCO | Optimization Knowledge Center: A Decision Support System for Heuristic Optimization. | Andreas Beham, Stefan Wagner, Michael Affenzeller |
| 2016 | GECCO | Evolutionary Procedural 2D Map Generation using Novelty Search. | Andreas Scheibenpflug, Johannes Karder, Susanne Schaller, Stefan Wagner, 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 | Genetic programming with data migration for symbolic regression. | Michael Kommenda, Michael Affenzeller, Bogdan Burlacu, Gabriel Kronberger, Stephan M. Winkler |
| 2014 | GECCO | Data based prediction of cancer diagnoses using heterogeneous model ensembles: a case study for breast cancer, melanoma, and cancer in the respiratory system. | Stephan M. Winkler, Michael Affenzeller, Susanne Schaller, Herbert Stekel |
| 2014 | IECON | Identification of a nonlinear PMSM model using symbolic regression and its application to current optimization scenarios. | Gerd Bramerdorfer, Wolfgang Amrhein, Stephan M. Winkler, Michael Affenzeller |
| 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 | Genetic programming enabled evolution of control policies for dynamic stochastic optimal power flow. | Stephan Hutterer, Stefan Vonolfen, Michael Affenzeller |
| 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 | Evolutionary identification of cancer predictors using clustered data: a case study for breast cancer, melanoma, and cancer in the respiratory system. | Stephan M. Winkler, Michael Affenzeller, Herbert Stekel |
| 2012 | GECCO | Integration of flexible interfaces in optimization software frameworks for simulation-based optimization. | Andreas Beham, Erik Pitzer, Stefan Wagner, Michael Affenzeller, Klaus Altendorfer, Thomas Felberbauer, Martin Bck |
| 2012 | GECCO | Evolutionary optimization of multi-agent controlstrategies for electric vehicle charging. | Stephan Hutterer, Michael Affenzeller, Franz Auinger |
| 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 |
| 2012 | GECCO | Generic hardness estimation using fitness and parameter landscapes applied to robust taboo search and the quadratic assignment problem. | Erik Pitzer, Andreas Beham, Michael Affenzeller |
| 2012 | GECCO | An adaption of the schema theorem to various crossover and mutation operators for a music segmentation problem. | Brigitte Rafael, Michael Affenzeller, Stefan Wagner |
| 2012 | GECCO | Optimization knowledge base: an open database for algorithm and problem characteristics and optimization results. | Andreas Scheibenpflug, Stefan Wagner, Erik Pitzer, Michael Affenzeller |
| 2012 | WSC | Optimizing assembly line supply by integrating warehouse picking and forklift routing using simulation. | Stefan Vonolfen, Monika Kofler, Andreas Beham, Michael Affenzeller, Werner Achleitner |
| 2012 | WSC | Optimizing assembly line supply by integrating warehouse picking and forklift routing using simulation. | Stefan Vonolfen, Monika Kofler, Andreas Beham, Michael Affenzeller, Werner Achleitner |
| 2012 | WSC | Optimizing assembly line supply by integrating warehouse picking and forklift routing using simulation. | Stefan Vonolfen, Monika Kofler, Andreas Beham, Michael Affenzeller, Werner Achleitner |
| 2011 | GECCO | Overfitting detection and adaptive covariant parsimony pressure for symbolic regression. | Gabriel Kronberger, Michael Kommenda, Michael Affenzeller |
| 2011 | GECCO | Identification of cancer diagnosis estimation models using evolutionary algorithms: a case study for breast cancer, melanoma, and cancer in the respiratory system. | Stephan M. Winkler, Michael Affenzeller, Witold Jacak, Herbert Stekel |
| 2011 | GECCO | Analysis of the effects of enhanced selection concepts for genetic programming based structure identification using fine-grained population diversity estimation. | Stephan M. Winkler, Michael Affenzeller, Stefan Wagner |
| 2010 | GECCO | Classification of tumor marker values using heuristic data mining methods. | Stephan M. Winkler, Michael Affenzeller, Witold Jacak, Herbert Stekel |
| 2009 | EUROGP | On Crossover Success Rate in Genetic Programming with Offspring Selection. | Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Stefan Wagner |
| 2009 | GECCO | About the dynamics of essential genetic information: an empirical analysis for selected GA-variants. | Michael Affenzeller, Andreas Beham, Stefan Wagner, Stephan M. Winkler |
| 2009 | WSC | Coupling Simulation with HeuristicLab to Solve Facility Layout Problems. | Andreas Beham, Monika Kofler, Stefan Wagner, Michael Affenzeller |
| 2008 | GECCO | Fine-grained population diversity estimation for genetic programming based structure identification. | Stephan M. Winkler, Michael Affenzeller, Stefan Wagner |
| 2007 | GECCO | Aspects of adaptation in natural and artificial evolution. | Michael Affenzeller, Stefan Wagner, Stephan M. Winkler |
| 2006 | GECCO | Sets of receiver operating characteristic curves and their use in the evaluation of multi-class classification. | Stephan M. Winkler, Michael Affenzeller, Stefan Wagner |
| 2005 | GECCO | Goal-oriented preservation of essential genetic information by offspring selection. | Michael Affenzeller, Stefan Wagner, Stephan M. Winkler |
| 2005 | IWINAC | GA-Selection Revisited from an ES-Driven Point of View. | Michael Affenzeller, Stefan Wagner, Stephan M. Winkler |
| 2005 | IWINAC | The Allele Meta-model - Developing a Common Language for Genetic Algorithms. | Stefan Wagner, Michael Affenzeller |
| 2003 | IIWAS | Agent-based Problem Solving: The Ant Colonies Metaphor. | Stefan Wagner, Michael Affenzeller, Ismail Khalil Ibrahim |
| 2003 | IWANN | SASEGASA: An Evolutionary Algorithm for Retarding Premature Convergence by Self-adaptive Selection Pressure Steering. | Michael Affenzeller, Stefan Wagner |
| 2001 | IWANN | A New Approach to Evolutionary Computation: Segregative Genetic Algorithms (SEGA). | Michael Affenzeller |