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153 Publications
2025 | Conference Paper | LibreCat-ID: 60814
Schede, Elias, Moritz Seiler, Kevin Tierney, and Heike Trautmann. “Deep Reinforcement Learning for Instance-Specific Algorithm Configuration (GECCO Best Paper Award).” In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025, edited by Bogdan Filipic, 1190–1198. ACM, 2025. https://doi.org/10.1145/3712256.3726480.
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2025 | Conference Paper | LibreCat-ID: 61032
Rodriguez-Fernandez, Angel E., Lennart Schäpermeier, Carlos Hernandez Castellanos, Pascal Kerschke, Heike Trautmann, and Oliver Schütze. “Hot off the Press: Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization.” In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025, 61–62. ACM, 2025. https://doi.org//10.1145/3712255.3734260.
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2025 | Conference Paper | LibreCat-ID: 61918
Rook, Jeroen, Quentin Renau, Heike Trautmann, and Emma Hart. “Efficient Online Automated Algorithm Selection in the Face of Data-Drift in Optimisation Problem Instances.” In Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, FOGA 2025, Leiden, The Netherlands, August 27-29, 2025, 262–272. ACM, 2025. https://doi.org/10.1145/3729878.3746615.
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2025 | Journal Article | LibreCat-ID: 63053
Hernández, Carlos, Angel E. Rodriguez-Fernandez, Lennart Schäpermeier, Oliver Cuate, Heike Trautmann, and Oliver Schütze. “An Evolutionary Approach for the Computation of ∈-Locally Optimal Solutions for Multi-Objective Multimodal Optimization.” IEEE Transactions on Evolutionary Computation, 2025, 1–1. https://doi.org/10.1109/TEVC.2025.3637276.
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2025 | Report | LibreCat-ID: 63633
Eimer, Theresa, Lennart Schäpermeier, André Biedenkapp, Alexander Tornede, Lars Kotthoff, Pieter Leyman, Matthias Feurer, et al. Best Practices For Empirical Meta-Algorithmic Research: Guidelines from the COSEAL Research Network, 2025. https://doi.org/DOI:10.48550/arXiv.2512.16491.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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2024 | Conference Paper | LibreCat-ID: 60131
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 - 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings, Part I, edited by Stephen L. Smith, João Correia, and Christian Cintrano, 14634:305–321. Lecture Notes in Computer Science. Springer, 2024. https://doi.org/10.1007/978-3-031-56852-7_20.
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2024 | Conference Paper | LibreCat-ID: 60132
Seiler, Moritz, Urban Skvorc, Gjorgjina Cenikj, Carola Doerr, and Heike Trautmann. “Learned Features vs. Classical ELA on Affine BBOB Functions.” In Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part II, edited by Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, and Thomas Bäck, 15149:137–153. Lecture Notes in Computer Science. Springer, 2024. https://doi.org/10.1007/978-3-031-70068-2_9.
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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.
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