5 Publications
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
LibreCat
| DOI
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
LibreCat
| DOI
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
LibreCat
| DOI
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
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48898
Seiler, M., Rook, J., Heins, J., Preuß, O. L., Bossek, J., & Trautmann, H. (n.d.). Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP. 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 361–368. https://doi.org/10.1109/SSCI52147.2023.10372008
LibreCat
| DOI
5 Publications
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
LibreCat
| DOI
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
LibreCat
| DOI
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
LibreCat
| DOI
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
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48898
Seiler, M., Rook, J., Heins, J., Preuß, O. L., Bossek, J., & Trautmann, H. (n.d.). Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP. 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 361–368. https://doi.org/10.1109/SSCI52147.2023.10372008
LibreCat
| DOI