Willkommen auf den Webseiten der MALEO Gruppe
Die Gruppe Maschinelles Lernen und Optimierung (MALEO) unter der Leitung von Prof. Dr. Heike Trautmann wurde im Oktober 2023 an der Universität Paderborn gegründet. Unsere theoretische und empirische Forschung konzentriert sich auf (vertrauenswürdige) Künstliche Intelligenz, Data Science, (automatisiertes) maschinelles Lernen, automatisierte Algorithmenauswahl und -konfiguration, explorative Landschaftsanalyse, Analyse von randomisierten Suchheuristiken und (mehrkriterielle) evolutionäre Optimierung. In interdisziplinärer Zusammenarbeit befassen wir uns darüber hinaus mit Themen der Computational Social Sciences wie Social Influence Analysis und Disinformation Campaign Detection in Online-Medien. Wir haben vielfältige und umfangreiche nationale sowie internationale Kooperationen mit besonders starken Verbindungen zur Universität Twente, Enschede. Auf europäischer Ebene unterstützen wir die Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE) und das European Research Center for Information Systems (ERCIS).
Für weitere Information verweisen wir auf die offizielle Website unserer Gruppe.

MALEO Mitarbeiter
Publikationen
MO-SMAC: Multi-objective Sequential Model-based Algorithm Configuration
@article{Rook_Benjamins_Bossek_Trautmann_Hoos_Lindauer_2025, title={MO-SMAC: Multi-objective Sequential Model-based Algorithm Configuration}, DOI={10.1162/evco_a_00371}, journal={Evolutionary Computation}, author={Rook, Jeroen G. and Benjamins, Carolin and Bossek, Jakob and Trautmann, Heike and Hoos, Holger H. and Lindauer, Marius}, year={2025}, pages={1–25} }
MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOHprofiler
@article{Vermetten_Rook_Preuß_Nobel_Doerr_Manuel López-Ibañez_Trautmann_Bäck_2025, title={MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOHprofiler}, journal={arXiv:2412.07444}, author={Vermetten, Diederick and Rook, Jeroen and Preuß, Oliver Ludger and Nobel, Jacob de and Doerr, Carola and Manuel López-Ibañez, Manuel López-Ibañez and Trautmann, Heike and Bäck, Thomas}, year={2025} }
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part II
@book{Affenzeller_Winkler_Kononova_Trautmann_Tusar_Machado_Bäck_2024, series={Lecture Notes in Computer Science}, title={Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part II}, volume={15149}, DOI={10.1007/978-3-031-70068-2}, publisher={Springer}, year={2024}, collection={Lecture Notes in Computer Science} }
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part III
@book{Affenzeller_Winkler_Kononova_Trautmann_Tusar_Machado_Bäck_2024, series={Lecture Notes in Computer Science}, title={Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part III}, volume={15150}, DOI={10.1007/978-3-031-70071-2}, publisher={Springer}, year={2024}, collection={Lecture Notes in Computer Science} }
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part IV
@book{Affenzeller_Winkler_Kononova_Trautmann_Tusar_Machado_Bäck_2024, series={Lecture Notes in Computer Science}, title={Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part IV}, volume={15151}, DOI={10.1007/978-3-031-70085-9}, publisher={Springer}, year={2024}, collection={Lecture Notes in Computer Science} }
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part I
@book{Affenzeller_Winkler_Kononova_Trautmann_Tusar_Machado_Bäck_2024, series={Lecture Notes in Computer Science}, title={Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part I}, volume={15148}, DOI={10.1007/978-3-031-70055-2}, publisher={Springer}, year={2024}, collection={Lecture Notes in Computer Science} }
Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection
@inproceedings{Seiler_Skvorc_Doerr_Trautmann_2024, series={Lecture Notes in Computer Science}, title={Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection}, volume={14990}, DOI={10.1007/978-3-031-75623-8_29}, booktitle={Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers}, publisher={Springer}, author={Seiler, Moritz and Skvorc, Urban and Doerr, Carola and Trautmann, Heike}, editor={Festa, Paola and Ferone, Daniele and Pastore, Tommaso and Pisacane, Ornella}, year={2024}, pages={361–376}, collection={Lecture Notes in Computer Science} }
Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization
@article{Rodriguez-Fernandez_Schäpermeier_Hernández_Kerschke_Trautmann_Schütze_2024, title={Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization}, DOI={10.1109/TEVC.2024.3458855}, journal={IEEE Transactions on Evolutionary Computation}, author={Rodriguez-Fernandez, Angel E. and Schäpermeier, Lennart and Hernández, Carlos and Kerschke, Pascal and Trautmann, Heike and Schütze, Oliver}, year={2024}, pages={1–1} }
Multi-objective Ranking using Bootstrap Resampling
@inproceedings{Rook_Hoos_Trautmann_2024, title={Multi-objective Ranking using Bootstrap Resampling}, DOI={10.1145/3638530.3654436}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024}, publisher={ACM}, author={Rook, Jeroen and Hoos, Holger H. and Trautmann, Heike}, editor={Li, Xiaodong and Handl, Julia}, year={2024}, pages={155–158} }
Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP
@inproceedings{Seiler_Rook_Heins_Preuß_Bossek_Trautmann_2024, title={Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP}, DOI={10.1109/ssci52147.2023.10372008}, booktitle={2023 IEEE Symposium Series on Computational Intelligence (SSCI)}, publisher={IEEE}, author={Seiler, Moritz and Rook, Jeroen and Heins, Jonathan and Preuß, Oliver Ludger and Bossek, Jakob and Trautmann, Heike}, year={2024} }
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