9 Publications
2026 | Conference Paper | LibreCat-ID: 66670
Mensendiek, Carolin, Oliver Ludger Preuß, Jeroen Rook, Francisco Chicano, Darrell Whitley, and Heike Trautmann. “Digging to the Ground Truth: Solving Multi-Objective Gray-Box Optimization Problems through Hyperplane Elimination.” In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2026, Centro Internacional de Convenciones CIC-ANDE, San Jose, Costa Rica, July 13-17, 2026, edited by Leonardo Trujillo and Ting Hu, 134–142. ACM, 2026. https://doi.org/10.1145/3795095.3805136.
LibreCat
| DOI
2026 | Conference Paper | LibreCat-ID: 66711
Mensendiek, Carolin, Henrik Zeipel, Oliver Ludger Preuß, Moritz Seiler, Walter Sextro, and Heike Trautmann. “Multi-Objective Pipeline Optimisation and Configuration of Automatic Train Operation Trajectories.” In Proceedings of the Genetic and Evolutionary Computation Conference Companion, 641–644. GECCO ’26 Companion. New York, NY, USA: Association for Computing Machinery, 2026. https://doi.org/10.1145/3795101.3805368.
LibreCat
| DOI
2025 | Conference Paper | LibreCat-ID: 60219
Vermetten, Diederick, Jeroen Rook, Oliver Ludger Preuß, Jacob de Nobel, Carola Doerr, Manuel López-Ibáñez, Heike Trautmann, and Thomas Bäck. “MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms Using IOHprofiler.” In Evolutionary Multi-Criterion Optimization - 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4-7, 2025, Proceedings, Part I, edited by Hemant K. Singh, Tapabrata Ray, Joshua D. Knowles, Xiaodong Li, Juergen Branke, Bing Wang, and Akira Oyama, 15512:242–256. Lecture Notes in Computer Science. Springer, 2025. https://doi.org/10.1007/978-981-96-3506-1_17.
LibreCat
| DOI
2025 | Conference Paper | LibreCat-ID: 60813
Seiler, Moritz, Oliver Ludger Preuß, and Heike Trautmann. “RandOptGen: A Unified Random Problem Generator for Single- and Multi-Objective Optimization Problems with Mixed-Variable Input Spaces.” In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025, edited by Bogdan Filipic, 76–84. ACM, 2025. https://doi.org/10.1145/3712256.3726478.
LibreCat
| DOI
2025 | Conference Paper | LibreCat-ID: 60812
Preuß, Oliver Ludger, Carolin Mensendiek, Jeroen Rook, Jakob Bossek, and Heike Trautmann. “Automated Algorithm Configuration and Systematic Benchmarking for Heterogeneous MNK-Landscapes.” In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025, edited by Bogdan Filipic, 58–66. ACM, 2025. https://doi.org/10.1145/3712256.3726481.
LibreCat
| DOI
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.
LibreCat
| DOI
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.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 60131
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 - 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings, Part I, edited by Stephen L. Smith, João Correia, and Christian Cintrano, 14634:305–321. Lecture Notes in Computer Science. Springer, 2024. https://doi.org/10.1007/978-3-031-56852-7_20.
LibreCat
| DOI
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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9 Publications
2026 | Conference Paper | LibreCat-ID: 66670
Mensendiek, Carolin, Oliver Ludger Preuß, Jeroen Rook, Francisco Chicano, Darrell Whitley, and Heike Trautmann. “Digging to the Ground Truth: Solving Multi-Objective Gray-Box Optimization Problems through Hyperplane Elimination.” In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2026, Centro Internacional de Convenciones CIC-ANDE, San Jose, Costa Rica, July 13-17, 2026, edited by Leonardo Trujillo and Ting Hu, 134–142. ACM, 2026. https://doi.org/10.1145/3795095.3805136.
LibreCat
| DOI
2026 | Conference Paper | LibreCat-ID: 66711
Mensendiek, Carolin, Henrik Zeipel, Oliver Ludger Preuß, Moritz Seiler, Walter Sextro, and Heike Trautmann. “Multi-Objective Pipeline Optimisation and Configuration of Automatic Train Operation Trajectories.” In Proceedings of the Genetic and Evolutionary Computation Conference Companion, 641–644. GECCO ’26 Companion. New York, NY, USA: Association for Computing Machinery, 2026. https://doi.org/10.1145/3795101.3805368.
LibreCat
| DOI
2025 | Conference Paper | LibreCat-ID: 60219
Vermetten, Diederick, Jeroen Rook, Oliver Ludger Preuß, Jacob de Nobel, Carola Doerr, Manuel López-Ibáñez, Heike Trautmann, and Thomas Bäck. “MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms Using IOHprofiler.” In Evolutionary Multi-Criterion Optimization - 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4-7, 2025, Proceedings, Part I, edited by Hemant K. Singh, Tapabrata Ray, Joshua D. Knowles, Xiaodong Li, Juergen Branke, Bing Wang, and Akira Oyama, 15512:242–256. Lecture Notes in Computer Science. Springer, 2025. https://doi.org/10.1007/978-981-96-3506-1_17.
LibreCat
| DOI
2025 | Conference Paper | LibreCat-ID: 60813
Seiler, Moritz, Oliver Ludger Preuß, and Heike Trautmann. “RandOptGen: A Unified Random Problem Generator for Single- and Multi-Objective Optimization Problems with Mixed-Variable Input Spaces.” In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025, edited by Bogdan Filipic, 76–84. ACM, 2025. https://doi.org/10.1145/3712256.3726478.
LibreCat
| DOI
2025 | Conference Paper | LibreCat-ID: 60812
Preuß, Oliver Ludger, Carolin Mensendiek, Jeroen Rook, Jakob Bossek, and Heike Trautmann. “Automated Algorithm Configuration and Systematic Benchmarking for Heterogeneous MNK-Landscapes.” In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025, edited by Bogdan Filipic, 58–66. ACM, 2025. https://doi.org/10.1145/3712256.3726481.
LibreCat
| DOI
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.
LibreCat
| DOI
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.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 60131
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 - 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings, Part I, edited by Stephen L. Smith, João Correia, and Christian Cintrano, 14634:305–321. Lecture Notes in Computer Science. Springer, 2024. https://doi.org/10.1007/978-3-031-56852-7_20.
LibreCat
| DOI
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.
LibreCat
| DOI