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Jacob de Nobel
Jacob de Nobel
PhD. Candidate, Leiden University
Verified email at liacs.leidenuniv.nl
Title
Cited by
Cited by
Year
Per-run algorithm selection with warm-starting using trajectory-based features
A Kostovska, A Jankovic, D Vermetten, J de Nobel, H Wang, T Eftimov, ...
International Conference on Parallel Problem Solving from Nature, 46-60, 2022
392022
Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules
J de Nobel, D Vermetten, H Wang, C Doerr, T Bäck
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021
392021
Iohexperimenter: Benchmarking platform for iterative optimization heuristics
J de Nobel, F Ye, D Vermetten, H Wang, C Doerr, T Bäck
Evolutionary Computation, 1-6, 2024
312024
Combining supervised and unsupervised machine learning methods for phenotypic functional genomics screening
WA Omta, RG van Heesbeen, I Shen, J de Nobel, D Robers, ...
Slas Discovery: Advancing the Science of Drug Discovery 25 (6), 655-664, 2020
182020
Evolutionary algorithms for parameter optimization—thirty years later
THW Bäck, AV Kononova, B van Stein, H Wang, KA Antonov, ...
Evolutionary Computation 31 (2), 81-122, 2023
142023
Trajectory-based algorithm selection with warm-starting
A Jankovic, D Vermetten, A Kostovska, J de Nobel, T Eftimov, C Doerr
2022 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2022
102022
Explorative data analysis of time series based algorithm features of CMA-ES variants
J de Nobel, H Wang, T Baeck
Proceedings of the Genetic and Evolutionary Computation Conference, 510-518, 2021
102021
IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics. CoRR abs/2111.04077 (2021)
J de Nobel, F Ye, D Vermetten, H Wang, C Doerr, T Bäck
arXiv preprint arXiv:2111.04077, 2021
92021
Improving comprehension efficiency of high content screening data through interactive visualizations
WA Omta, J Nobel, J Klumperman, DA Egan, MR Spruit, MJS Brinkhuis
Assay and drug development technologies 15 (6), 247-256, 2017
62017
Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem
SS Ahouei, J de Nobel, A Neumann, T Bäck, F Neumann
arXiv preprint arXiv:2405.18772, 2024
42024
Optimizing stimulus energy for cochlear implants with a machine learning model of the auditory nerve
J de Nobel, AV Kononova, JJ Briaire, JHM Frijns, THW Bäck
Hearing Research 432, 108741, 2023
42023
When to be discrete: analyzing algorithm performance on discretized continuous problems
A Thomaser, J De Nobel, D Vermetten, F Ye, T Bäck, A Kononova
Proceedings of the Genetic and Evolutionary Computation Conference, 856-863, 2023
32023
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler
F Neumann, A Neumann, C Qian, AV Do, J de Nobel, D Vermetten, ...
2023 IEEE Congress on Evolutionary Computation (CEC), 1-9, 2023
32023
Computing star discrepancies with numerical black-box optimization algorithms
F Clément, D Vermetten, J De Nobel, AD Jesus, L Paquete, C Doerr
Proceedings of the Genetic and Evolutionary Computation Conference, 1330-1338, 2023
22023
Evolutionary algorithms for parameter optimization: thirty years later
THW Back, AV Kononova, N Stein, H Wang, K Antonov, RT Kalkreuth, ...
Evolutionary Computation 31 (2), 81-122, 2023
12023
Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem
S Sadeghi Ahouei, J De Nobel, A Neumann, T Bäck, F Neumann
Proceedings of the Genetic and Evolutionary Computation Conference, 1036-1044, 2024
2024
What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms
F Ye, F Neumann, J de Nobel, A Neumann, T Bäck
Proceedings of the Genetic and Evolutionary Computation Conference, 787-795, 2024
2024
Optimizing Causal Interventions in Hybrid Bayesian Networks
M Vonk, D Vermetten, J de Nobel, S Brand, N Malekovic, T Bäck, ...
2024
Biophysics-inspired spike rate adaptation for computationally efficient phenomenological nerve modeling
J de Nobel, SSM Martens, JJ Briaire, THW Bäck, AV Kononova, ...
Hearing Research 447, 109011, 2024
2024
Avoiding Redundant Restarts in Multimodal Global Optimization
J de Nobel, D Vermetten, AV Kononova, OM Shir, T Bäck
arXiv preprint arXiv:2405.01226, 2024
2024
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