On the potential of automated algorithm configuration on multi-modal multi-objective optimization problems. - Jeroen Rook; Heike Trautmann; Jakob Bossek; Christian Grimme (GECCO Companion, 2022)

BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems. - Jonathan Heins; Jeroen Rook; Lennart Schäpermeier; Pascal Kerschke; Jakob Bossek; Heike Trautmann (PPSN (1), 2022)

Sparkle: Toward Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems. - Koen van der Blom; Holger H. Hoos; Chuan Luo 002; Jeroen G. Rook (IEEE Trans. Evol. Comput., 2022)

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)

Multi-objective Ranking using Bootstrap Resampling. - Jeroen Rook; Holger H. Hoos; Heike Trautmann (GECCO Companion, 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)

MO-IOHinspector: Anytime Benchmarking of Multi-objective Algorithms Using IOHprofiler. - Diederick Vermetten; Jeroen Rook; Oliver L. Preuß; Jacob de Nobel; Carola Doerr; Manuel López-Ibáñez 001; Heike Trautmann; Thomas Bäck (EMO (1), 2025)

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