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De Nobel, Jacob
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1

IOHexperimenter: Benchmarking Platform for Iterative Optimi..:

de Nobel, Jacob ; Ye, Furong ; Vermetten, Diederick...
Evolutionary Computation.  , 2024
Link: https://doi.org/10.1162/..
 
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2

Biophysics-inspired spike rate adaptation for computational..:

de Nobel, Jacob ; Martens, Savine S.M. ; Briaire, Jeroen J....
Hearing Research.  447 (2024)  - p. 109011 , 2024
Link: https://doi.org/10.1016/..
 
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3

What Performance Indicators to Use for Self-Adaptation in M..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,
Ye, Furong ; Neumann, Frank ; de Nobel, Jacob.. - p. 787-795 , 2024
Link: https://dl.acm.org/doi/1..
 
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4

Evolving Reliable Differentiating Constraints for the Chanc..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,
Sadeghi Ahouei, Saba ; De Nobel, Jacob ; Neumann, Aneta.. - p. 1036-1044 , 2024
Link: https://dl.acm.org/doi/1..
 
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5

Optimizing stimulus energy for cochlear implants with a mac..:

de Nobel, Jacob ; Kononova, Anna V. ; Briaire, Jeroen J...
Hearing Research.  432 (2023)  - p. 108741 , 2023
Link: https://doi.org/10.1016/..
 
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6

Benchmarking and analyzing iterative optimization heuristic..:

, In: Proceedings of the Companion Conference on Genetic and Evolutionary Computation,
Doerr, Carola ; Wang, Hao ; Vermetten, Diederick... - p. 938-945 , 2023
Link: https://dl.acm.org/doi/1..
 
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7

Benchmarking Algorithms for Submodular Optimization Problem..:

, In: 2023 IEEE Congress on Evolutionary Computation (CEC),
Neumann, Frank ; Neumann, Aneta ; Qian, Chao... - p. 1-9 , 2023
Link: https://doi.org/10.1109/..
 
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8

Computing Star Discrepancies with Numerical Black-Box Optim..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,
Clément, François ; Vermetten, Diederick ; De Nobel, Jacob... - p. 1330-1338 , 2023
Link: https://dl.acm.org/doi/1..
 
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9

When to be Discrete:Analyzing Algorithm Performance on Disc..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,
Thomaser, André ; De Nobel, Jacob ; Vermetten, Diederick... - p. 856-863 , 2023
Link: https://dl.acm.org/doi/1..
 
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10

Trajectory-based Algorithm Selection with Warm-starting:

, In: 2022 IEEE Congress on Evolutionary Computation (CEC),
Jankovic, Anja ; Vermetten, Diederick ; Kostovska, Ana... - p. 1-8 , 2022
Link: https://doi.org/10.1109/..
 
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11

Benchmarking and analyzing iterative optimization heuristic..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Doerr, Carola ; Wang, Hao ; Vermetten, Diederick... - p. 1334-1341 , 2022
Link: https://dl.acm.org/doi/1..
 
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12

Per-run Algorithm Selection with Warm-Starting Using Trajec..:

, In: Lecture Notes in Computer Science; Parallel Problem Solving from Nature – PPSN XVII,
Kostovska, Ana ; Jankovic, Anja ; Vermetten, Diederick... - p. 46-60 , 2022
Link: https://doi.org/10.1007/..
 
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13

Explorative data analysis of time series based algorithm fe..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,
de Nobel, Jacob ; Wang, Hao ; Baeck, Thomas - p. 510-518 , 2021
Link: https://dl.acm.org/doi/1..
 
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14

Tuning as a means of assessing the benefits of new ideas in..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
de Nobel, Jacob ; Vermetten, Diederick ; Wang, Hao.. - p. 1375-1384 , 2021
Link: https://dl.acm.org/doi/1..
 
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15

Combining Supervised and Unsupervised Machine Learning Meth..:

Omta, Wienand A. ; van Heesbeen, Roy G. ; Shen, Ian...
SLAS Discovery.  25 (2020)  6 - p. 655-664 , 2020
Link: https://doi.org/10.1177/..
 
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