Hao Wang
Hao Wang
Postdoc in Sorbonne Université
Verified email at lip6.fr
Title
Cited by
Cited by
Year
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
322016
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
262016
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
252015
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
242017
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
222016
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
172017
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
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
132018
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
122018
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
112019
Benchmarking discrete optimization heuristics with IOHprofiler
C Doerr, F Ye, N Horesh, H Wang, OM Shir, T Bäck
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
112019
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
112018
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
112017
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
112014
Automatic configuration of deep neural networks with EGO
B van Stein, H Wang, T Bäck
arXiv preprint arXiv:1810.05526, 2018
102018
IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics. arXiv e-prints: 1810.05281 (Oct
C Doerr, H Wang, F Ye, S van Rijn, T Bäck
arXiv preprint arXiv:1810.05281, 2018
102018
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
102016
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
92020
Bayesian performance analysis for black-box optimization benchmarking
B Calvo, OM Shir, J Ceberio, C Doerr, H Wang, T Bäck, JA Lozano
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
82019
The Set-Based Hypervolume Newton Method for Bi-Objective Optimization
VAS Hernández, O Schütze, H Wang, A Deutz, M Emmerich
IEEE transactions on cybernetics, 2018
82018
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Articles 1–20