Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
218 Publications
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
2025 | Conference Paper | LibreCat-ID: 60219
Vermetten, Diederick, Jeroen Rook, Oliver Ludger Preuß, Jacob de Nobel, Carola Doerr, Manuel López-Ibáñez, Heike Trautmann, and Thomas Bäck. “MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms Using IOHprofiler.” In Evolutionary Multi-Criterion Optimization - 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4-7, 2025, Proceedings, Part I, edited by Hemant K. Singh, Tapabrata Ray, Joshua D. Knowles, Xiaodong Li, Juergen Branke, Bing Wang, and Akira Oyama, 15512:242–256. Lecture Notes in Computer Science. Springer, 2025. https://doi.org/10.1007/978-981-96-3506-1_17.
LibreCat
| DOI
2025 | Journal Article | LibreCat-ID: 60220
Seiler, Moritz, Pascal Kerschke, and Heike Trautmann. “Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems .” Evolutionary Computation, 2025, 1–27. https://doi.org/10.1162/evco_a_00367.
LibreCat
| DOI
2025 | Conference Paper | LibreCat-ID: 60813
Seiler, Moritz, Oliver Ludger Preuß, and Heike Trautmann. “RandOptGen: A Unified Random Problem Generator for Single- and Multi-Objective Optimization Problems with Mixed-Variable Input Spaces.” In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025, edited by Bogdan Filipic, 76–84. ACM, 2025. https://doi.org/10.1145/3712256.3726478.
LibreCat
| DOI
2025 | Conference Paper | LibreCat-ID: 60812
Preuß, Oliver Ludger, Carolin Mensendiek, Jeroen Rook, Jakob Bossek, and Heike Trautmann. “Automated Algorithm Configuration and Systematic Benchmarking for Heterogeneous MNK-Landscapes.” In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025, edited by Bogdan Filipic, 58–66. ACM, 2025. https://doi.org/10.1145/3712256.3726481.
LibreCat
| DOI
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.
LibreCat
| DOI
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.
LibreCat
| DOI
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.
LibreCat
| DOI
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.
LibreCat
| DOI
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.
LibreCat
| DOI
2025 | Conference Paper | LibreCat-ID: 63703
Hoffbauer, Tilman, Holger H. Hoos, and Jakob Bossek. “KernelMatmul: Scaling Gaussian Processes to Large Time Series.” In AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA, edited by Toby Walsh, Julie Shah, and Zico Kolter, 17223–17230. AAAI Press, 2025. https://doi.org/10.1609/AAAI.V39I16.33893.
LibreCat
| DOI
2025 | Conference Paper | LibreCat-ID: 63704
Wittner, Dominic, and Jakob Bossek. “Cluster Prevention in Evolutionary Diversity Optimization for Parallel Machine Scheduling.” In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025, edited by Bogdan Filipic, 340–348. ACM, 2025. https://doi.org/10.1145/3712256.3726357.
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