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143 Publications
2025 | Preprint | LibreCat-ID: 57739
Vermetten, Diederick, Jeroen Rook, Oliver Ludger Preuß, Jacob de Nobel, Carola Doerr, Manuel López-Ibañez Manuel López-Ibañez, Heike Trautmann, and Thomas Bäck. “MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms Using IOHprofiler.” ArXiv:2412.07444, 2025.
LibreCat
| arXiv
2025 | Journal Article | LibreCat-ID: 59073
Rook, Jeroen G., Carolin Benjamins, Jakob Bossek, Heike Trautmann, Holger H. Hoos, and Marius Lindauer. “MO-SMAC: Multi-Objective Sequential Model-Based Algorithm Configuration.” Evolutionary Computation, 2025, 1–25. https://doi.org/10.1162/evco_a_00371.
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 54548
Prager, Raphael Patrick, and Heike Trautmann. “Exploratory Landscape Analysis for Mixed-Variable Problems.” IEEE Transactions on Evolutionary Computation, 2024, 1–1. https://doi.org/10.1109/TEVC.2024.3399560.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 54642
Dietrich, K., R. Prager, C. Doerr, and Heike Trautmann. “Hybridizing Target- and SHAP-Encoded Features for Algorithm Selection in Mixed-Variable Black-Box Optimization.” In Parallel Problem Solving from Nature — PPSN XVIII, edited by M Affenzeller, S Winkler, A Kononova, H Trautmann, T Tušar, P Machado, and T Baeck, 1–14. Cham: Springer International Publishing, 2024.
LibreCat
2024 | Conference Paper | LibreCat-ID: 54643
Seiler, Moritz, Urban Skvorc, G Cenikj, C Doerr, and Heike Trautmann. “Learned Features vs. Classical ELA on Affine BBOB Functions.” In Parallel Problem Solving from Nature — PPSN XVIII, edited by M Affenzeller, S Winkler, A Kononova, H Trautmann, T Tušar, P Machado, and T Baeck, 1–14. Cham: Springer International Publishing, 2024.
LibreCat
2024 | Book Chapter | LibreCat-ID: 52759
Preuß, Oliver Ludger, Jeroen Rook, and Heike Trautmann. “On the Potential of Multi-Objective Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimisation Problems.” In Applications of Evolutionary Computation. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-56852-7_20.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 52749
Seiler, Moritz, Jeroen Rook, Jonathan Heins, Oliver Ludger Preuß, Jakob Bossek, and Heike Trautmann. “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP.” In 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2024. https://doi.org/10.1109/ssci52147.2023.10372008.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 55649
Rook, Jeroen, Holger H. Hoos, and Heike Trautmann. “Multi-Objective Ranking Using Bootstrap Resampling.” In Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024, edited by Xiaodong Li and Julia Handl, 155–158. ACM, 2024. https://doi.org/10.1145/3638530.3654436.
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 56221
Rodriguez-Fernandez, Angel E., Lennart Schäpermeier, Carlos Hernández, Pascal Kerschke, Heike Trautmann, and Oliver Schütze. “Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization.” IEEE Transactions on Evolutionary Computation, 2024, 1–1. https://doi.org/10.1109/TEVC.2024.3458855.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 58335
Seiler, Moritz, Urban Skvorc, Carola Doerr, and Heike Trautmann. “Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection.” In Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers, edited by Paola Festa, Daniele Ferone, Tommaso Pastore, and Ornella Pisacane, 14990:361–376. Lecture Notes in Computer Science. Springer, 2024. https://doi.org/10.1007/978-3-031-75623-8_29.
LibreCat
| DOI
2024 | Conference (Editor) | LibreCat-ID: 58338
Affenzeller, Michael, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, and Thomas Bäck, eds. Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part III. Vol. 15150. Lecture Notes in Computer Science. Springer, 2024. https://doi.org/10.1007/978-3-031-70071-2.
LibreCat
| DOI
2024 | Conference (Editor) | LibreCat-ID: 58336
Affenzeller, Michael, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, and Thomas Bäck, eds. Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part I. Vol. 15148. Lecture Notes in Computer Science. Springer, 2024. https://doi.org/10.1007/978-3-031-70055-2.
LibreCat
| DOI
2024 | Conference (Editor) | LibreCat-ID: 58339
Affenzeller, Michael, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, and Thomas Bäck, eds. Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part IV. Vol. 15151. Lecture Notes in Computer Science. Springer, 2024. https://doi.org/10.1007/978-3-031-70085-9.
LibreCat
| DOI
2024 | Conference (Editor) | LibreCat-ID: 58337
Affenzeller, Michael, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, and Thomas Bäck, eds. Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part II. Vol. 15149. Lecture Notes in Computer Science. Springer, 2024. https://doi.org/10.1007/978-3-031-70068-2.
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 59283
Prager, Raphael Patrick, and Heike Trautmann. “Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python.” Evol. Comput. 32, no. 3 (2024): 211–216. https://doi.org/10.1162/EVCO_A_00341.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 47522
Prager, Raphael Patrick, Konstantin Dietrich, Lennart Schneider, Lennart Schäpermeier, Bernd Bischl, Pascal Kerschke, Heike Trautmann, and Olaf Mersmann. “Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features.” In Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 129–139. FOGA ’23. New York, NY, USA: Association for Computing Machinery, 2023. https://doi.org/10.1145/3594805.3607136.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 46297
Prager, Raphael Patrick, and Heike Trautmann. “Nullifying the Inherent Bias of Non-Invariant Exploratory Landscape Analysis Features.” In Applications of Evolutionary Computation, edited by João Correia, Stephen Smith, and Raneem Qaddoura, 411–425. Cham: Springer Nature Switzerland, 2023.
LibreCat
2023 | Conference Paper | LibreCat-ID: 46298
Schäpermeier, Lennart, Pascal Kerschke, Christian Grimme, and Heike Trautmann. “Peak-A-Boo! Generating Multi-Objective Multiple Peaks Benchmark Problems with Precise Pareto Sets.” In Evolutionary Multi-Criterion Optimization, edited by Michael Emmerich, André Deutz, Hao Wang, Anna V. Kononova, Boris Naujoks, Ke Li, Kaisa Miettinen, and Iryna Yevseyeva, 291–304. Cham: Springer Nature Switzerland, 2023.
LibreCat
2023 | Journal Article | LibreCat-ID: 46299
Prager, Raphael Patrick, and Heike Trautmann. “Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python.” Evolutionary Computation, 2023, 1–25. https://doi.org/10.1162/evco_a_00341.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 52530
Prager, Raphael Patrick, and Heike Trautmann. “Investigating the Viability of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems.” In Companion Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO 2023, Companion Volume, Lisbon, Portugal, July 15-19, 2023, edited by Sara Silva and Luís Paquete, 451–454. ACM, 2023. https://doi.org/10.1145/3583133.3590757.
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| DOI