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143 Publications
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.
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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.
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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.
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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.
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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.
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2024 | Conference (Editor) | LibreCat-ID: 58338
Affenzeller, Michael, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, and Thomas Bäck, eds. Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part III. Vol. 15150. Lecture Notes in Computer Science. Springer, 2024. https://doi.org/10.1007/978-3-031-70071-2.
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2024 | Conference (Editor) | LibreCat-ID: 58336
Affenzeller, Michael, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, and Thomas Bäck, eds. Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part I. Vol. 15148. Lecture Notes in Computer Science. Springer, 2024. https://doi.org/10.1007/978-3-031-70055-2.
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2024 | Conference (Editor) | LibreCat-ID: 58339
Affenzeller, Michael, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, and Thomas Bäck, eds. Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part IV. Vol. 15151. Lecture Notes in Computer Science. Springer, 2024. https://doi.org/10.1007/978-3-031-70085-9.
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2024 | Conference (Editor) | LibreCat-ID: 58337
Affenzeller, Michael, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, and Thomas 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. Lecture Notes in Computer Science. Springer, 2024. https://doi.org/10.1007/978-3-031-70068-2.
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2024 | Journal Article | LibreCat-ID: 59283
Prager, Raphael Patrick, and Heike Trautmann. “Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python.” Evol. Comput. 32, no. 3 (2024): 211–216. https://doi.org/10.1162/EVCO_A_00341.
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2023 | Conference Paper | LibreCat-ID: 47522
Prager, Raphael Patrick, Konstantin Dietrich, Lennart Schneider, Lennart Schäpermeier, Bernd Bischl, Pascal Kerschke, Heike Trautmann, and Olaf Mersmann. “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, 129–139. FOGA ’23. New York, NY, USA: Association for Computing Machinery, 2023. https://doi.org/10.1145/3594805.3607136.
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2023 | Conference Paper | LibreCat-ID: 46297
Prager, Raphael Patrick, and Heike Trautmann. “Nullifying the Inherent Bias of Non-Invariant Exploratory Landscape Analysis Features.” In Applications of Evolutionary Computation, edited by João Correia, Stephen Smith, and Raneem Qaddoura, 411–425. Cham: Springer Nature Switzerland, 2023.
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2023 | Conference Paper | LibreCat-ID: 46298
Schäpermeier, Lennart, Pascal Kerschke, Christian Grimme, and Heike Trautmann. “Peak-A-Boo! Generating Multi-Objective Multiple Peaks Benchmark Problems with Precise Pareto Sets.” In Evolutionary Multi-Criterion Optimization, edited by Michael Emmerich, André Deutz, Hao Wang, Anna V. Kononova, Boris Naujoks, Ke Li, Kaisa Miettinen, and Iryna Yevseyeva, 291–304. Cham: Springer Nature Switzerland, 2023.
LibreCat
2023 | Journal Article | LibreCat-ID: 46299
Prager, Raphael Patrick, and Heike Trautmann. “Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python.” Evolutionary Computation, 2023, 1–25. https://doi.org/10.1162/evco_a_00341.
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2023 | Conference Paper | LibreCat-ID: 52530
Prager, Raphael Patrick, and Heike Trautmann. “Investigating the Viability of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems.” In Companion Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO 2023, Companion Volume, Lisbon, Portugal, July 15-19, 2023, edited by Sara Silva and Luís Paquete, 451–454. ACM, 2023. https://doi.org/10.1145/3583133.3590757.
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2023 | Journal Article | LibreCat-ID: 46310
Heins, Jonathan, Jakob Bossek, Janina Pohl, Moritz Seiler, Heike Trautmann, and Pascal Kerschke. “A Study on the Effects of Normalized TSP Features for Automated Algorithm Selection.” Theoretical Computer Science 940 (2023): 123–45. https://doi.org/10.1016/j.tcs.2022.10.019.
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2023 | Conference Paper | LibreCat-ID: 48898
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), 361–68, n.d. https://doi.org/10.1109/SSCI52147.2023.10372008.
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2022 | Book Chapter | LibreCat-ID: 46300
Niemann, Marco, Dennis Assenmacher, Jens Brunk, Dennis Maximilian Riehle, Jörg Becker, and Heike Trautmann. “(Semi-)Automatische Kommentarmoderation Zur Erhaltung Konstruktiver Diskurse.” In Hate Speech — Definitionen, Ausprägungen, Lösungen, edited by Gerrit Weitzel and Stephan Mündges, 249–274. Wiesbaden: VS Verlag für Sozialwissenschaften, 2022. https://doi.org/10.1007/978-3-658-35658-3_13.
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2022 | Conference Paper | LibreCat-ID: 46301
Assenmacher, D, and Heike Trautmann. “Textual One-Pass Stream Clustering with Automated Distance Threshold Adaption.” In Intelligent Information and Database Systems, edited by T et al. Tran, 3–16. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-21743-2_1.
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2022 | Journal Article | LibreCat-ID: 46316
Assenmacher, Dennis, Derek Weber, Mike Preuss, André Calero Valdez, Alison Bradshaw, Björn Ross, Stefano Cresci, Heike Trautmann, Frank Neumann, and Christian Grimme. “Benchmarking Crisis in Social Media Analytics: A Solution for the Data-Sharing Problem.” Social Science Computer Review 40, no. 6 (2022): 1496–1522. https://doi.org/10.1177/08944393211012268.
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