Jeroen Rook

According to our database, Jeroen Rook authored at least 14 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Exploration of Pareto-preserving Search Space Transformations in Multi-objective Test Functions.

Diederick Vermetten, Jeroen Rook

CoRR, April, 2026

MO-ELA: Rigorously Expanding Exploratory Landscape Features for Automated Algorithm Selection in Continuous Multi-Objective Optimisation.

Oliver Ludger Preuß, Jeroen Rook, Jakob Bossek, Heike Trautmann

CoRR, February, 2026

Benchmarking that Matters: Rethinking Benchmarking in Continuous Optimisation for Practical Impact.

Anna V. Kononova, Niki van Stein, Olaf Mersmann, Thomas Bäck, Thomas Bartz-Beielstein, Tobias Glasmachers, Michael Hellwig, Sebastian Krey, Jakub Kudela, Boris Naujoks, Leonard Papenmeier, Elena Raponi, Quentin Renau, Jeroen Rook, Lennart Schäpermeier, Diederick Vermetten, Daniela Zaharie

Proceedings of the Applications of Evolutionary Computation - 29th European Conference, 2026

2025

Benchmarking that Matters: Rethinking Benchmarking for Practical Impact.

Anna V. Kononova, Niki van Stein, Olaf Mersmann, Thomas Bäck, Thomas Bartz-Beielstein, Tobias Glasmachers, Michael Hellwig, Sebastian Krey, Jakub Kudela, Boris Naujoks, Leonard Papenmeier, Elena Raponi, Quentin Renau, Jeroen Rook, Lennart Schäpermeier, Diederick Vermetten, Daniela Zaharie

CoRR, November, 2025

Advanced Use of Automatic Algorithm Configuration: Single- and Multi-Objective Approaches.

Jeroen Rook, Manuel López-Ibáñez

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

Automated Algorithm Configuration and Systematic Benchmarking for Heterogeneous MNK-Landscapes.

Oliver Ludger Preuß, Carolin Mensendiek, Jeroen Rook, Jakob Bossek, Heike Trautmann

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

Efficient Online Automated Algorithm Selection in the Face of Data-Drift in Optimisation Problem Instances.

Jeroen Rook, Quentin Renau, Heike Trautmann, Emma Hart

Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2025

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, Heike Trautmann, Thomas Bäck

Proceedings of the Evolutionary Multi-Criterion Optimization, 2025

2024

Multi-objective Ranking using Bootstrap Resampling.

Jeroen Rook, Holger H. Hoos, Heike Trautmann

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems.

Oliver Ludger Preuß, Jeroen Rook, Heike Trautmann

Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

2023

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

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

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, Jeroen G. Rook

IEEE Trans. Evol. Comput., 2022

BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems.

Jonathan Heins, Jeroen Rook, Lennart Schäpermeier, Pascal Kerschke, Jakob Bossek, Heike Trautmann

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

On the potential of automated algorithm configuration on multi-modal multi-objective optimization problems.

Jeroen Rook, Heike Trautmann, Jakob Bossek, Christian Grimme

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022