Ehemaliger Mitarbeiter
Professur für Statistik und Optimierung (Prof. Trautmann)
Leonardo Campus 3
48149
Münster
Short-URL:

Leonardo Campus 3
48149
Münster
Prager, R., & Trautmann, H. (2023). Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features. In Correia, J., Smith, S., & Qaddoura, R. (Eds.), Applications of Evolutionary Computation (pp. 411–425). Cham: Springer Nature Switzerland.
Mehr Details BibTeX DOI
Prager, R. P., & Trautmann, H. (2023). Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python. Evolutionary Computation. (accepted / in press (not yet published))
Mehr Details BibTeX
Prager, R. P., Seiler, M. V., Trautmann, H., & Kerschke, P. (2022). Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods. In Rudolph, G., Kononova, A. V., Aguirre, H., Kerschke, P., Ochoa, G., & Tušar, T. (Eds.), Parallel Problem Solving from Nature — PPSN XVII (pp. 3–17). Cham: Springer International Publishing.
Mehr Details BibTeX Gesamter Text DOI
Schneider, L., Schäpermeier, L., Prager, R. P., Bischl, B., Trautmann, H., & Kerschke, P. (2022). HPO x ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis. In Rudolph, G., Kononova, A. V., Aguirre, H., Kerschke, P., Ochoa, G., & Tušar, T. (Eds.), Parallel Problem Solving from Nature — PPSN XVII (pp. 575–589). Cham: Springer International Publishing.
Mehr Details BibTeX DOI
Seiler, M. V., Prager, R. P., Kerschke, P., & Trautmann, H. (2022). A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes. In -, (Ed.), Proceedings of the Genetic and Evolutionary Computation Conference (pp. 657–665). New York, NY, USA: ACM Press.
Mehr Details BibTeX DOI
Prager, R. P., Moritz, V. H., & Pascal, (2021). Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization. In Proceedings of the IEEE Symposium Series on Computational Intelligence, Orlando, Florida, USA.
Mehr Details BibTeX
Prager, R. P., Trautmann, H., Wang, H., Bäck, T. H. W., & Kerschke, P. (2020). Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis. In Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, 996–1003.
Mehr Details BibTeX DOI
Prager, R. P., Troost, L., Brüggenjürgen, S., Melhart, D., Yannakakis, G., & Preuss, M. (2019). An Experiment on Game Facet Combination. In Proceedings of the IEEE Conference on Games, London.
Mehr Details BibTeX Gesamter Text