Следене
Hao Wang
Заглавие
Позовавания
Позовавания
Година
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
482017
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
472016
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
382016
Optimally weighted cluster kriging for big data regression
B Stein, H Wang, W Kowalczyk, T Bäck, M Emmerich
International symposium on intelligent data analysis, 310-321, 2015
372015
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
342016
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
332020
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
322019
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
312018
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
212019
The set-based hypervolume newton method for bi-objective optimization
VAS Hernández, O Schütze, H Wang, A Deutz, M Emmerich
IEEE transactions on cybernetics 50 (5), 2186-2196, 2018
212018
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
202019
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
202017
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
182018
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
182017
Automated Machine Learning for EEG-Based Classification of Parkinson’s Disease Patients
M Koch, V Geraedts, H Wang, M Tannemaat, T Bäck
2019 IEEE International Conference on Big Data (Big Data), 4845-4852, 2019
172019
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
172017
Automatic configuration of deep neural networks with EGO
B van Stein, H Wang, T Bäck
arXiv preprint arXiv:1810.05526, 2018
162018
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
162018
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
162018
Evolution Strategies
M Emmerich, OM Shir, H Wang
Handbook of Heuristics, 1-31, 2018
162018
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