- E-Mail:
- moritz.seiler@uni-paderborn.de
- Phone:
- +49 5251 60-6311
- Office Address:
-
Fürstenallee 11
33102 Paderborn - Room:
- FU.227
Publications
Latest Publications
LLM Driven Design of Continuous Optimization Problems with Controllable High-Level Properties
U. Skvorc, N. van Stein, M. Seiler, B. Grimme, T. Bäck, H. Trautmann, in: P. García-Sánchez, J.D. lvarez, A. Murphy (Eds.), Applications of Evolutionary Computation - 29th European Conference, EvoApplications 2026, Held as Part of EvoStar 2026, Toulouse, France, April 8-10, 2026, Proceedings, Part II, Springer, 2026, pp. 183–199.
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.
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.
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Teaching
Current Courses
- Unsupervised Learning and Evolutionary Optimisation Using R (in English)