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204 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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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
LibreCat
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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 | Journal Article | LibreCat-ID: 59283
Prager RP, Trautmann H. Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python. Evol Comput. 2024;32(3):211–216. doi:10.1162/EVCO_A_00341
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2023 | Conference Paper | LibreCat-ID: 47522
Prager RP, Dietrich K, Schneider L, et al. Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. In: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. FOGA ’23. Association for Computing Machinery; 2023:129–139. doi:10.1145/3594805.3607136
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2023 | Conference Paper | LibreCat-ID: 46297
Prager RP, Trautmann H. Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features. In: Correia J, Smith S, Qaddoura R, eds. Applications of Evolutionary Computation. Springer Nature Switzerland; 2023:411–425.
LibreCat
2023 | Conference Paper | LibreCat-ID: 46298
Schäpermeier L, Kerschke P, Grimme C, Trautmann H. Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets. In: Emmerich M, Deutz A, Wang H, et al., eds. Evolutionary Multi-Criterion Optimization. Springer Nature Switzerland; 2023:291–304.
LibreCat
2023 | Journal Article | LibreCat-ID: 46299
Prager RP, Trautmann H. Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python. Evolutionary Computation. Published online 2023:1–25. doi:10.1162/evco_a_00341
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2023 | Conference Paper | LibreCat-ID: 48869
Bossek J, Neumann A, Neumann F. On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO’23. Association for Computing Machinery; 2023:248–256. doi:10.1145/3583131.3590384
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