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210 Publications
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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2025 | Conference Paper | LibreCat-ID: 61918
Rook J, Renau Q, Trautmann H, Hart E. 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. ACM; 2025:262–272. doi:10.1145/3729878.3746615
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2025 | Journal Article | LibreCat-ID: 63053
Hernández C, Rodriguez-Fernandez AE, Schäpermeier L, Cuate O, Trautmann H, Schütze O. An Evolutionary Approach for the Computation of ∈-Locally Optimal Solutions for Multi-Objective Multimodal Optimization. IEEE Transactions on Evolutionary Computation. Published online 2025:1-1. doi:10.1109/TEVC.2025.3637276
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2025 | Report | LibreCat-ID: 63633
Eimer T, Schäpermeier L, Biedenkapp A, et al. Best Practices For Empirical Meta-Algorithmic Research: Guidelines from the COSEAL Research Network.; 2025. doi:DOI:10.48550/arXiv.2512.16491
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2025 | Conference Paper | LibreCat-ID: 63703
Hoffbauer T, Hoos HH, Bossek J. KernelMatmul: Scaling Gaussian Processes to Large Time Series. In: Walsh T, Shah J, Kolter Z, eds. AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA. AAAI Press; 2025:17223–17230. doi:10.1609/AAAI.V39I16.33893
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2025 | Conference Paper | LibreCat-ID: 63704
Wittner D, Bossek J. Cluster Prevention in Evolutionary Diversity Optimization for Parallel Machine Scheduling. In: Filipic B, ed. Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025. ACM; 2025:340–348. doi:10.1145/3712256.3726357
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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.
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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: 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 Paper | LibreCat-ID: 63706
Schmidbauer M, Opris A, Bossek J, Neumann F, Sudholt D. Guiding Quality Diversity on Monotone Submodular Functions: Customising the Feature Space by Adding Boolean Conjunctions. In: Li X, Handl J, eds. Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024. ACM; 2024. doi:10.1145/3638529.3654160
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