- E-Mail:
- moritz.seiler@uni-paderborn.de
- Phone:
- +49 5251 60-6311
- Office Address:
-
Fürstenallee 11
33102 Paderborn - Room:
- FU.227
Publications
Latest Publications
Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems
M. Seiler, P. Kerschke, H. Trautmann, Evolutionary Computation (2025) 1–27.
RandOptGen: A Unified Random Problem Generator for Single- and Multi-Objective Optimization Problems with Mixed-Variable Input Spaces
M. Seiler, O.L. Preuß, H. Trautmann, in: B. Filipic (Ed.), Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025, ACM, 2025, pp. 76–84.
Deep reinforcement learning for instance-specific algorithm configuration (GECCO Best Paper Award)
E. Schede, M. Seiler, K. Tierney, H. Trautmann, in: B. Filipic (Ed.), Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025, ACM, 2025, pp. 1190–1198.
Landscape features in single-objective continuous optimization: Have we hit a wall in algorithm selection generalization?
G. Cenikj, G. Petelin, M. Seiler, N. Cenikj, T. Eftimov, Swarm Evol. Comput. 94 (2025) 101894.
Learned Features vs. Classical ELA on Affine BBOB Functions
M. Seiler, U. Skvorc, G. Cenikj, C. Doerr, H. Trautmann, in: M. Affenzeller, S. Winkler, A. Kononova, H. Trautmann, T. Tušar, P. Machado, T. Baeck (Eds.), Parallel Problem Solving from Nature — PPSN XVIII, Springer International Publishing, Cham, 2024, pp. 1–14.
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