Jacob de Nobel
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
6
Active years
2021–2025
Best venue rank
A
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 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 | 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 |
| 2024 | GECCO | Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem. | Saba Sadeghi Ahouei, Jacob de Nobel, Aneta Neumann, Thomas Bck, Frank Neumann |
| 2024 | GECCO | Benchmarking and Analyzing Iterative Optimization Heuristics with IOHprofiler. | Carola Doerr, Diederick Vermetten, Jacob de Nobel, Thomas Bck |
| 2024 | GECCO | What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms. | Furong Ye, Frank Neumann, Jacob de Nobel, Aneta Neumann, 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 | 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 |
| 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 | 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 | 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 |
| 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 | 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 |
| 2021 | GECCO | Explorative data analysis of time series based algorithm features of CMA-ES variants. | Jacob de Nobel, Hao Wang, Thomas Bck |
| 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 |