Diederick Vermetten
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
48
Venues
7
Active years
2019–2026
Best venue rank
A
Where they publish
Papers
48 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | GECCO | Similarity-based Portfolio Construction for Black-box Optimization. | Catalin-Viorel Dinu, Diederick Vermetten, Carola Doerr |
| 2026 | GECCO | Exploration of Pareto-preserving Search Space Transformations in Multi-objective Test Functions. | Diederick Vermetten, Jeroen Rook |
| 2025 | CEC | Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks. | Shuaiqun Pan, Diederick Vermetten, Manuel Lpez-Ibez, Thomas Bck, Hao Wang |
| 2025 | EMO | MO-IOHinspector: Anytime Benchmarking of Multi-objective Algorithms Using IOHprofiler. | Diederick Vermetten, Jeroen Rook, Oliver Ludger Preu, Jacob de Nobel, Carola Doerr, Manuel Lpez-Ibez, Heike Trautmann, Thomas Bck |
| 2025 | FOGA | A Standardized Benchmark Set of Clustering Problem Instances for Comparing Black-Box Optimizers. | Diederick Vermetten, Catalin-Viorel Dinu, Marcus Gallagher |
| 2025 | GECCO | Analyzing Single-objective Black-box Optimization Algorithms Using the Empirical Attainment Function. | Manuel Lpez-Ibez, Diederick Vermetten, Johann Dro, Carola Doerr |
| 2025 | GECCO | Benchmarking single- and multi-objective optimization algorithms: how to make your experimental data more valuable. | Carola Doerr, Diederick Vermetten, Jacob de Nobel, Thomas Bck |
| 2025 | GECCO | Abnormal Mutations: Evolution Strategies Don't Require Gaussianity. | Jacob de Nobel, Diederick Vermetten, Hao Wang, Anna V. Kononova, Gnter Rudolph, Thomas Bck |
| 2025 | GECCO | Transfer Learning of Surrogate Models: Integrating Domain Warping and Affine Transformations. | Shuaiqun Pan, Diederick Vermetten, Manuel Lpez-Ibez, Thomas Bck, Hao Wang |
| 2025 | GECCO | Explainable Benchmarking for Iterative Optimization Heuristics. | Niki van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bck |
| 2024 | CEC | Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks. | Ana Nikolikj, Ana Kostovska, Diederick Vermetten, Carola Doerr, Tome Eftimov |
| 2024 | GECCO | Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization. | Konstantin Dietrich, Diederick Vermetten, Carola Doerr, Pascal Kerschke |
| 2024 | GECCO | Benchmarking and Analyzing Iterative Optimization Heuristics with IOHprofiler. | Carola Doerr, Diederick Vermetten, Jacob de Nobel, Thomas Bck |
| 2024 | GECCO | A Critical Analysis of Raven Roost Optimization. | Martijn Halsema, Diederick Vermetten, Thomas Bck, Niki van Stein |
| 2024 | GECCO | Transfer Learning of Surrogate Models via Domain Affine Transformation. | Shuaiqun Pan, Diederick Vermetten, Manuel Lpez-Ibez, Thomas Bck, Hao Wang |
| 2024 | GECCO | Large-Scale Benchmarking of Metaphor-Based Optimization Heuristics. | Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bck |
| 2024 | IJCCI | Sampling in CMA-ES: Low Numbers of Low Discrepancy Points. | Jacob de Nobel, Diederick Vermetten, Thomas H. W. Bck, Anna V. Kononova |
| 2024 | IJCCI | Impact of Spatial Transformations on Exploratory and Deep-Learning Based Landscape Features of CEC2022 Benchmark Suite. | Haoran Yin, Diederick Vermetten, Furong Ye, Thomas H. W. Bck, Anna V. Kononova |
| 2024 | IPMU | Optimizing Causal Interventions in Hybrid Bayesian Networks - A Discretization, Knowledge Compilation, and Heuristic Optimization Approach. | Maarten C. Vonk, Diederick Vermetten, Jacob de Nobel, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bck, Alfons Laarman, Anna V. Kononova |
| 2024 | PPSN | Avoiding Redundant Restarts in Multimodal Global Optimization. | Jacob de Nobel, Diederick Vermetten, Anna V. Kononova, Ofer M. Shir, Thomas Bck |
| 2024 | PPSN | Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler. | Diederick Vermetten, Johannes Lengler, Dimitri Rusin, Thomas Bck, Carola Doerr |
| 2023 | CEC | Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. | Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bck |
| 2023 | FOGA | General Boolean Function Benchmark Suite. | Roman Kalkreuth, Zdenek Vascek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bck |
| 2023 | GECCO | Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms. | Franois Clment, Diederick Vermetten, Jacob de Nobel, Alexandre D. Jesus, Lus Paquete, Carola Doerr |
| 2023 | GECCO | Benchmarking and analyzing iterative optimization heuristics with IOHprofiler. | Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bck, Jacob de Nobel, Furong Ye |
| 2023 | GECCO | Towards a General Boolean Function Benchmark Suite. | Roman Kalkreuth, Zdenek Vascek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bck |
| 2023 | GECCO | Comparing Algorithm Selection Approaches on Black-Box Optimization Problems. | Ana Kostovska, Anja Jankovic, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr |
| 2023 | GECCO | Assessing the Generalizability of a Performance Predictive Model. | Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov |
| 2023 | GECCO | Deep BIAS: Detecting Structural Bias using Explainable AI. | Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova |
| 2023 | GECCO | When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems. | Andr Thomaser, Jacob de Nobel, Diederick Vermetten, Furong Ye, Thomas Bck, Anna V. Kononova |
| 2023 | GECCO | Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite. | Diederick Vermetten, Manuel Lpez-Ibez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova |
| 2023 | GECCO | Modular Differential Evolution. | Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bck |
| 2023 | GECCO | Using Affine Combinations of BBOB Problems for Performance Assessment. | Diederick Vermetten, Furong Ye, Carola Doerr |
| 2023 | IJCCI | Challenges of ELA-Guided Function Evolution Using Genetic Programming. | Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bck, Niki van Stein |
| 2022 | CEC | Trajectory-based Algorithm Selection with Warm-starting. | Anja Jankovic, Diederick Vermetten, Ana Kostovska, Jacob de Nobel, Tome Eftimov, Carola Doerr |
| 2022 | GECCO | Benchmarking and analyzing iterative optimization heuristics with IOH profiler. | Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bck, Jacob de Nobel, Furong Ye |
| 2022 | GECCO | The importance of landscape features for performance prediction of modular CMA-ES variants. | Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov |
| 2022 | GECCO | Using structural bias to analyse the behaviour of modular CMA-ES. | Diederick Vermetten, Fabio Caraffini, Bas van Stein, Anna V. Kononova |
| 2022 | GECCO | Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms. | Diederick Vermetten, Hao Wang, Manuel Lpez-Ibez, Carola Doerr, Thomas Bck |
| 2022 | GECCO | IOHanalyzer: Detailed performance analyses for iterative optimization heuristics: hot-off-the-press track @ GECCO 2022. | Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bck |
| 2022 | PPSN | Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features. | Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr |
| 2022 | PPSN | Non-elitist Selection Can Improve the Performance of Irace. | Furong Ye, Diederick Vermetten, Carola Doerr, Thomas Bck |
| 2021 | GECCO | OPTION: optimization algorithm benchmarking ontology. | Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov |
| 2021 | GECCO | Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules. | Jacob de Nobel, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bck |
| 2021 | GECCO | Is there anisotropy in structural bias? | Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bck |
| 2020 | GECCO | Towards dynamic algorithm selection for numerical black-box optimization: investigating BBOB as a use case. | Diederick Vermetten, Hao Wang, Thomas Bck, Carola Doerr |
| 2020 | GECCO | Integrated vs. sequential approaches for selecting and tuning CMA-ES variants. | Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bck |
| 2019 | GECCO | Online selection of CMA-ES variants. | Diederick Vermetten, Sander van Rijn, Thomas Bck, Carola Doerr |