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Multi-objective Bayesian Optimization for Engineering Simulation.

, , , and . High-Performance Simulation-Based Optimization, volume 833 of Studies in Computational Intelligence, Springer, (2020)

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Multi-objective variable subset selection using heterogeneous surrogate modeling and sequential design., , , and . CEC, page 1634-1641. IEEE, (2016)Adaptive classification under computational budget constraints using sequential data gathering., , , and . Adv. Eng. Softw., (2016)Hierarchical Gaussian Process Models for Improved Metamodeling., , , , and . ACM Trans. Model. Comput. Simul., 30 (4): 23:1-23:17 (2020)Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores., , , , , , , , , and 1 other author(s). Artif. Intell. Medicine, 63 (3): 191-207 (2015)Sensitivity analysis of expensive black-box systems using metamodeling., , , and . WSC, page 578-589. IEEE, (2016)Fuzzy local linear approximation-based sequential design., , and . CIES, page 17-21. IEEE, (2014)Sensitivity Analysis of Expensive Black-Box Systems Using Metamodeling., , , and . CoRR, (2017)Hypervolume-based Multi-objective Bayesian Optimization with Student-t Processes., , and . CoRR, (2016)Active Learning for Approximation of Expensive Functions with Normal Distributed Output Uncertainty., , , and . CoRR, (2016)Random Survival Forests for Predicting the Bed Occupancy in the Intensive Care Unit., , , , , , , , , and . Comput. Math. Methods Medicine, (2016)