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Niki van Stein
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A new acquisition function for Bayesian optimization based on the moment-generating function
H Wang, B van Stein, M Emmerich, T Back
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017
902017
Cluster-based Kriging approximation algorithms for complexity reduction
B Van Stein, H Wang, W Kowalczyk, M Emmerich, T Bäck
Applied Intelligence 50 (3), 778-791, 2020
522020
Optimally weighted cluster kriging for big data regression
B van Stein, H Wang, W Kowalczyk, T Bäck, M Emmerich
International symposium on intelligent data analysis, 310-321, 2015
522015
Automatic configuration of deep neural networks with parallel efficient global optimization
B van Stein, H Wang, T Bäck
2019 International Joint Conference on Neural Networks (IJCNN), 1-7, 2019
46*2019
Local subspace-based outlier detection using global neighbourhoods
B Van Stein, M Van Leeuwen, T Bäck
2016 IEEE International Conference on Big Data (Big Data), 1136-1142, 2016
442016
Learning the characteristics of engineering optimization problems with applications in automotive crash
FX Long, B van Stein, M Frenzel, P Krause, M Gitterle, T Bäck
Proceedings of the Genetic and Evolutionary Computation Conference, 1227-1236, 2022
302022
A comparison of global sensitivity analysis methods for explainable AI with an application in genomic prediction
B Van Stein, E Raponi, Z Sadeghi, N Bouman, RCHJ Van Ham, T Bäck
IEEE Access 10, 103364-103381, 2022
282022
Time complexity reduction in efficient global optimization using cluster kriging
H Wang, B van Stein, M Emmerich, T Bäck
Proceedings of the Genetic and Evolutionary Computation Conference, 889-896, 2017
282017
Algorithm configuration data mining for CMA evolution strategies
S van Rijn, H Wang, B van Stein, T Bäck
Proceedings of the Genetic and Evolutionary Computation Conference, 737-744, 2017
252017
Designing ships using constrained multi-objective efficient global optimization
R de Winter, B van Stein, M Dijkman, T Bäck
Machine Learning, Optimization, and Data Science: 4th International …, 2019
242019
An incremental algorithm for repairing training sets with missing values
B Van Stein, W Kowalczyk
Information Processing and Management of Uncertainty in Knowledge-Based …, 2016
242016
Multitask shape optimization using a 3-d point cloud autoencoder as unified representation
T Rios, B van Stein, T Bäck, B Sendhoff, S Menzel
IEEE Transactions on Evolutionary Computation 26 (2), 206-217, 2021
232021
Bias: A toolbox for benchmarking structural bias in the continuous domain
D Vermetten, B van Stein, F Caraffini, LL Minku, AV Kononova
IEEE Transactions on Evolutionary Computation 26 (6), 1380-1393, 2022
222022
On the efficiency of a point cloud autoencoder as a geometric representation for shape optimization
T Rios, B Sendhoff, S Menzel, T Bäck, B Van Stein
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 791-798, 2019
222019
Feature visualization for 3D point cloud autoencoders
T Rios, B van Stein, S Menzel, T Back, B Sendhoff, P Wollstadt
2020 International Joint Conference on Neural Networks (IJCNN), 1-9, 2020
212020
SAMO-COBRA: a fast surrogate assisted constrained multi-objective optimization algorithm
R de Winter, B van Stein, T Bäck
International conference on evolutionary multi-criterion optimization, 270-282, 2021
202021
A new approach towards the combined algorithm selection and hyper-parameter optimization problem
X Guo, B van Stein, T Bäck
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2042-2049, 2019
202019
BBOB instance analysis: Landscape properties and algorithm performance across problem instances
FX Long, D Vermetten, B van Stein, AV Kononova
International Conference on the Applications of Evolutionary Computation …, 2023
19*2023
Constrained multi-objective optimization with a limited budget of function evaluations
R Winter, P Bronkhorst, B Stein, THW Bäck
Memetic Computing, 151-174, 2022
182022
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
162023
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Articles 1–20