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