Kaifeng Yang
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Multi-objective Bayesian global optimization using expected hypervolume improvement gradient
K Yang, M Emmerich, A Deutz, T Bäck
Swarm and evolutionary computation 44, 945-956, 2019
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
Efficient computation of expected hypervolume improvement using box decomposition algorithms
K Yang, M Emmerich, A Deutz, T Bäck
Journal of Global Optimization 75, 3-34, 2019
Faster exact algorithms for computing expected hypervolume improvement
I Hupkens, A Deutz, K Yang, M Emmerich
international conference on evolutionary multi-criterion optimization, 65-79, 2015
A review: Prognostics and health management in automotive and aerospace
DV Nguyen, M Kefalas, K Yang, A Apostolidis, M Olhofer, S Limmer, ...
International Journal of Prognostics and Health Management 10 (2), 35, 2019
Computing 3-D expected hypervolume improvement and related integrals in asymptotically optimal time
K Yang, M Emmerich, A Deutz, CM Fonseca
International Conference on Evolutionary Multi-Criterion Optimization, 685-700, 2017
Preference-based multiobjective optimization using truncated expected hypervolume improvement
K Yang, L Li, A Deutz, T Back, M Emmerich
2016 12th International Conference on Natural Computation, Fuzzy Systems and …, 2016
Truncated expected hypervolume improvement: Exact computation and application
K Yang, A Deutz, Z Yang, T Back, M Emmerich
2016 IEEE Congress on Evolutionary Computation (CEC), 4350-4357, 2016
A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization
K Yang, PS Palar, M Emmerich, K Shimoyama, T Bäck
Proceedings of the Genetic and Evolutionary Computation Conference, 656-663, 2019
Expected Hypervolume Improvement Algorithm for PID Controller Tuning and the Multiobjective Dynamical Control of a Biogas Plant
K Yang, D Gaida, T Bäck, M Emmerich
Evolutionary Computation (CEC), 2015 IEEE Congress on, 1934 - 1942, 2015
Infill criteria for multiobjective Bayesian optimization
MTM Emmerich, K Yang, AH Deutz
High-performance simulation-based optimization, 3-16, 2020
A new approach to target region based multiobjective evolutionary algorithms
Y Wang, L Li, K Yang, MTM Emmerich
2017 IEEE Congress on Evolutionary Computation (CEC), 1757-1764, 2017
Deep non-crossing probabilistic wind speed forecasting with multi-scale features
R Zou, M Song, Y Wang, J Wang, K Yang, M Affenzeller
Energy Conversion and Management 257, 115433, 2022
Towards single-and multiobjective Bayesian global optimization for mixed integer problems
K Yang, K van der Blom, T Bäck, M Emmerich
AIP Conference Proceedings 2070 (1), 2019
SMS-EMOA with multiple dynamic reference points
Z Yang, H Wang, K Yang, T Back, M Emmerich
Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2016 …, 2016
Modeling and prediction of remaining useful lifetime for maintenance scheduling optimization of a car fleet
D Van Nguyen, S Limmer, K Yang, M Olhofer, T Bäck
International Journal of Performability Engineering 15 (9), 2318, 2019
Multi-objective aerodynamic design with user preference using truncated expected hypervolume improvement
PS Palar, K Yang, K Shimoyama, M Emmerich, T Bäck
Proceedings of the Genetic and Evolutionary Computation Conference, 1333-1340, 2018
Power distribution network reconfiguration by evolutionary integer programming
K Yang, MTM Emmerich, R Li, J Wang, T Bäck
Parallel Problem Solving from Nature–PPSN XIII: 13th International …, 2014
Automating penetration testing using reinforcement learning
S Niculae, D Dichiu, K Yang, T Bäck
Experimental Research Unit Bitdefender, 2020
Multi-Objective Bayesian Global Optimization using expected hypervolume improvement gradient. Swarm and Evolutionary Computation 44 (feb 2019), 945–956
K Yang, M Emmerich, A Deutz, T Bäck
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