Hao Wang
TitleCited byYear
A multicriteria generalization of bayesian global optimization
M Emmerich, K Yang, A Deutz, H Wang, CM Fonseca
Advances in Stochastic and Deterministic Global Optimization, 229-242, 2016
282016
Towards analyzing multimodality of continuous multiobjective landscapes
P Kerschke, H Wang, M Preuss, C Grimme, A Deutz, H Trautmann, ...
International Conference on Parallel Problem Solving from Nature, 962-972, 2016
192016
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
192015
Evolving the structure of evolution strategies
S van Rijn, H Wang, M van Leeuwen, T Bäck
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016
142016
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
132017
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
112017
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
102017
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
92016
Mirrored orthogonal sampling with pairwise selection in evolution strategies
H Wang, M Emmerich, T Bäck
Proceedings of the 29th Annual ACM Symposium on Applied Computing, 154-156, 2014
92014
Search dynamics on multimodal multiobjective problems
P Kerschke, H Wang, M Preuss, C Grimme, AH Deutz, H Trautmann, ...
Evolutionary computation 27 (4), 577-609, 2019
72019
Cooling Strategies for the Moment-Generating Function in Bayesian Global Optimization
H Wang, M Emmerich, T Bäck
2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018
72018
Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics: profiling (1+ λ) EA variants on onemax and leadingones
C Doerr, F Ye, S Van Rijn, H Wang, T Bäck
Proceedings of the Genetic and Evolutionary Computation Conference, 951-958, 2018
72018
Hypervolume indicator gradient ascent multi-objective optimization
H Wang, A Deutz, T Bäck, M Emmerich
International Conference on Evolutionary Multi-Criterion Optimization, 654-669, 2017
72017
Automatic configuration of deep neural networks with EGO
B van Stein, H Wang, T Bäck
arXiv preprint arXiv:1810.05526, 2018
62018
IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics. arXiv e-prints: 1810.05281 (Oct. 2018)
C Doerr, H Wang, F Ye, S van Rijn, T Bäck
arXiv preprint arXiv:1810.05281, 2018
62018
Cluster-based Kriging approximation algorithms for complexity reduction
B van Stein, H Wang, W Kowalczyk, M Emmerich, T Bäck
Applied Intelligence, 1-14, 2019
52019
IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics
C Doerr, H Wang, F Ye, S van Rijn, T Bäck
arXiv preprint arXiv:1810.05281, 2018
52018
On steering dominated points in hypervolume indicator gradient ascent for Bi-objective optimization
H Wang, Y Ren, A Deutz, M Emmerich
NEO 2015, 175-203, 2017
52017
Balancing risk and expected gain in kriging-based global optimization
H Wang, M Emmerich, T Back
2016 IEEE Congress on Evolutionary Computation (CEC), 719-727, 2016
52016
Evolution Strategies
M Emmerich, OM Shir, H Wang
Handbook of Heuristics, 1-31, 2018
42018
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Articles 1–20