Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP. - Moritz Vinzent Seiler; Jeroen Rook; Jonathan Heins; Oliver Ludger Preuß; Jakob Bossek; Heike Trautmann (SSCI, 2023)

On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems. - Oliver Ludger Preuß; Jeroen Rook; Heike Trautmann (EvoApplications@EvoStar, 2024)

MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOHprofiler. - Diederick Vermetten; Jeroen Rook; Oliver Ludger Preuß; Jacob de Nobel; Carola Doerr; Manuel López-Ibáñez 001; Heike Trautmann; Thomas Bäck (CoRR, 2024)

Automated Algorithm Configuration and Systematic Benchmarking for Heterogeneous MNK-Landscapes. - Oliver Ludger Preuß; Carolin Mensendiek; Jeroen Rook; Jakob Bossek; Heike Trautmann (GECCO, 2025)

RandOptGen: A Unified Random Problem Generator for Single- and Multi-Objective Optimization Problems with Mixed-Variable Input Spaces. - Moritz Vinzent Seiler; Oliver Ludger Preuß; Heike Trautmann (GECCO, 2025)