Bas van Stein
Title
Cited by
Cited by
Year
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
362017
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
362015
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
23*2019
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
222020
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
202016
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
182017
An incremental algorithm for repairing training sets with missing values
B van Stein, W Kowalczyk
International Conference on Information Processing and Management of …, 2016
172016
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
142017
Towards data driven process control in manufacturing car body parts
B Van Stein, M Van Leeuwen, H Wang, S Purr, S Kreissl, J Meinhardt, ...
2016 International Conference on Computational Science and Computational …, 2016
112016
Designing ships using constrained multi-objective efficient global optimization
R de Winter, B van Stein, M Dijkman, T Bäck
International Conference on Machine Learning, Optimization, and Data Science …, 2018
92018
Fitness landscape analysis of nk landscapes and vehicle routing problems by expanded barrier trees
B Van Stein, M Emmerich, Z Yang
EVOLVE-A Bridge between Probability, Set Oriented Numerics, and Evolutionary …, 2013
82013
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
72019
Fuzzy clustering for optimally weighted cluster kriging
B van Stein, H Wang, W Kowalczyk, M Emmerich, T Bäck
2016 IEEE international conference on fuzzy systems (FUZZ-IEEE), 939-945, 2016
62016
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
52020
Scalability of learning tasks on 3d cae models using point cloud autoencoders
T Rios, P Wollstadt, B van Stein, T Bäck, Z Xu, B Sendhoff, S Menzel
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1367-1374, 2019
32019
Emergence of Structural Bias in Differential Evolution
B van Stein, F Caraffini, AV Kononova
arXiv preprint arXiv:2105.04693, 2021
22021
A Tailored NSGA-III for Multi-objective Flexible Job Shop Scheduling
Y Wang, B van Stein, T Bäck, M Emmerich
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2746-2753, 2020
2*2020
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
22019
A Novel Uncertainty Quantification Method for Efficient Global Optimization
B van Stein, H Wang, W Kowalczyk, T Bäck
International Conference on Information Processing and Management of …, 2018
22018
A framework for evaluating meta-models for simulation-based optimisation
P Van Heiningen, B van Stein, T Bäck
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016
22016
The system can't perform the operation now. Try again later.
Articles 1–20