Oliver Ludger Preuß

oliver.preuss@uni-paderborn.de
ID
102978

5 Publications

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[5]
2025 | Preprint | LibreCat-ID: 57739
Vermetten, D., Rook, J., Preuß, O. L., Nobel, J. de, Doerr, C., Manuel López-Ibañez, M. L.-I., Trautmann, H., & Bäck, T. (2025). MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms  using IOHprofiler. In arXiv:2412.07444.
LibreCat | arXiv
 
[4]
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
 
[3]
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
 
[2]
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
 
[1]
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
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5 Publications

Mark all

[5]
2025 | Preprint | LibreCat-ID: 57739
Vermetten, D., Rook, J., Preuß, O. L., Nobel, J. de, Doerr, C., Manuel López-Ibañez, M. L.-I., Trautmann, H., & Bäck, T. (2025). MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms  using IOHprofiler. In arXiv:2412.07444.
LibreCat | arXiv
 
[4]
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
 
[3]
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
 
[2]
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
 
[1]
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
 
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