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149 Publications
2025 | Journal Article | LibreCat-ID: 59073
Rook JG, Benjamins C, Bossek J, Trautmann H, Hoos HH, Lindauer M. MO-SMAC: Multi-objective Sequential Model-based Algorithm Configuration. Evolutionary Computation. Published online 2025:1-25. doi:10.1162/evco_a_00371
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2025 | Conference Paper | LibreCat-ID: 60219
Vermetten D, Rook J, Preuß OL, et al. MO-IOHinspector: Anytime Benchmarking of Multi-objective Algorithms Using IOHprofiler. In: Singh HK, Ray T, Knowles JD, et al., eds. Evolutionary Multi-Criterion Optimization - 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4-7, 2025, Proceedings, Part I. Vol 15512. Lecture Notes in Computer Science. Springer; 2025:242–256. doi:10.1007/978-981-96-3506-1_17
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2025 | Journal Article | LibreCat-ID: 60220
Seiler M, Kerschke P, Trautmann H. Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems . Evolutionary Computation. Published online 2025:1-27. doi:https://doi.org/10.1162/evco_a_00367
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2025 | Conference Paper | LibreCat-ID: 60813
Seiler M, Preuß OL, Trautmann H. RandOptGen: A Unified Random Problem Generator for Single- and Multi-Objective Optimization Problems with Mixed-Variable Input Spaces. In: Filipic B, ed. Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025. ACM; 2025:76–84. doi:10.1145/3712256.3726478
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2025 | Conference Paper | LibreCat-ID: 60812
Preuß OL, Mensendiek C, Rook J, Bossek J, Trautmann H. Automated Algorithm Configuration and Systematic Benchmarking for Heterogeneous MNK-Landscapes. In: Filipic B, ed. Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025. ACM; 2025:58–66. doi:10.1145/3712256.3726481
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2025 | Conference Paper | LibreCat-ID: 60814
Schede E, Seiler M, Tierney K, Trautmann H. Deep reinforcement learning for instance-specific algorithm configuration (GECCO Best Paper Award). In: Filipic B, ed. Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025. ACM; 2025:1190–1198. doi:10.1145/3712256.3726480
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2024 | Journal Article | LibreCat-ID: 54548
Prager RP, Trautmann H. Exploratory Landscape Analysis for Mixed-Variable Problems. IEEE Transactions on Evolutionary Computation. Published online 2024:1-1. doi:10.1109/TEVC.2024.3399560
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2024 | Conference Paper | LibreCat-ID: 54642
Dietrich K, Prager R, Doerr C, Trautmann H. Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization. In: Affenzeller M, Winkler S, Kononova A, et al., eds. Parallel Problem Solving from Nature — PPSN XVIII. Springer International Publishing; 2024:1-14.
LibreCat
2024 | Conference Paper | LibreCat-ID: 54643
Seiler M, Skvorc U, Cenikj G, Doerr C, Trautmann H. Learned Features vs. Classical ELA on Affine BBOB Functions. In: Affenzeller M, Winkler S, Kononova A, et al., eds. Parallel Problem Solving from Nature — PPSN XVIII. Springer International Publishing; 2024:1-14.
LibreCat
2024 | Book Chapter | LibreCat-ID: 52759
Preuß OL, Rook J, Trautmann H. On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems. In: Applications of Evolutionary Computation. Springer Nature Switzerland; 2024. doi:10.1007/978-3-031-56852-7_20
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2024 | Conference Paper | LibreCat-ID: 52749
Seiler M, Rook J, Heins J, Preuß OL, Bossek J, Trautmann H. Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP. In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE; 2024. doi:10.1109/ssci52147.2023.10372008
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2024 | Conference Paper | LibreCat-ID: 55649
Rook J, Hoos HH, Trautmann H. Multi-objective Ranking using Bootstrap Resampling. In: Li X, Handl J, eds. Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024. ACM; 2024:155–158. doi:10.1145/3638530.3654436
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2024 | Journal Article | LibreCat-ID: 56221
Rodriguez-Fernandez AE, Schäpermeier L, Hernández C, Kerschke P, Trautmann H, Schütze O. Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization. IEEE Transactions on Evolutionary Computation. Published online 2024:1-1. doi:10.1109/TEVC.2024.3458855
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2024 | Conference Paper | LibreCat-ID: 58335
Seiler M, Skvorc U, Doerr C, Trautmann H. Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection. In: Festa P, Ferone D, Pastore T, Pisacane O, eds. Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers. Vol 14990. Lecture Notes in Computer Science. Springer; 2024:361–376. doi:10.1007/978-3-031-75623-8_29
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2024 | Conference (Editor) | LibreCat-ID: 58338
Affenzeller M, Winkler SM, Kononova AV, et al., eds. Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part III. Vol 15150. Springer; 2024. doi:10.1007/978-3-031-70071-2
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2024 | Conference (Editor) | LibreCat-ID: 58336
Affenzeller M, Winkler SM, Kononova AV, et al., eds. Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part I. Vol 15148. Springer; 2024. doi:10.1007/978-3-031-70055-2
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2024 | Conference (Editor) | LibreCat-ID: 58339
Affenzeller M, Winkler SM, Kononova AV, et al., eds. Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part IV. Vol 15151. Springer; 2024. doi:10.1007/978-3-031-70085-9
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2024 | Conference (Editor) | LibreCat-ID: 58337
Affenzeller M, Winkler SM, Kononova AV, et al., eds. Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part II. Vol 15149. Springer; 2024. doi:10.1007/978-3-031-70068-2
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2024 | Conference Paper | LibreCat-ID: 60131
Preuß OL, Rook J, Trautmann H. On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems. In: Smith SL, Correia J, Cintrano C, eds. Applications of Evolutionary Computation - 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings, Part I. Vol 14634. Lecture Notes in Computer Science. Springer; 2024:305–321. doi:10.1007/978-3-031-56852-7_20
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2024 | Conference Paper | LibreCat-ID: 60132
Seiler M, Skvorc U, Cenikj G, Doerr C, Trautmann H. Learned Features vs. Classical ELA on Affine BBOB Functions. In: Affenzeller M, Winkler SM, Kononova AV, et al., 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; 2024:137–153. doi:10.1007/978-3-031-70068-2_9
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