Pages that link to "Item:Q1941025"
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The following pages link to Simultaneous Kriging-based estimation and optimization of mean response (Q1941025):
Displaying 23 items.
- Rare event probability estimation in the presence of epistemic uncertainty on input probability distribution parameters (Q267894) (← links)
- Robust parameter design optimization using Kriging, RBF and RBFNN with gradient-based and evolutionary optimization techniques (Q273312) (← links)
- A new expected-improvement algorithm for continuous minimax optimization (Q280101) (← links)
- Expected improvement in efficient global optimization through bootstrapped Kriging (Q445325) (← links)
- A workflow for decision making under uncertainty (Q680287) (← links)
- An informational approach to the global optimization of expensive-to-evaluate functions (Q835790) (← links)
- Robust optimization using computer experiments (Q932202) (← links)
- On applying Kriging-based approximate optimization to inaccurate data (Q1033567) (← links)
- An efficient algorithm for kriging approximation and optimization with large-scale sampling data. (Q1430665) (← links)
- Worst-case global optimization of black-box functions through Kriging and relaxation (Q1942020) (← links)
- Bounds optimization of model response moments: a twin-engine Bayesian active learning method (Q2039068) (← links)
- Quantile-based robust optimization of a supersonic nozzle for organic rankine cycle turbines (Q2174738) (← links)
- Stochastic field representation using bi-fidelity combination of proper orthogonal decomposition and kriging (Q2179204) (← links)
- Data-driven stochastic inversion via functional quantization (Q2302505) (← links)
- Sequential approximate optimization for design under uncertainty problems utilizing Kriging metamodeling in augmented input space (Q2308910) (← links)
- Extreme value oriented random field discretization based on an hybrid polynomial chaos expansion -- Kriging approach (Q2310861) (← links)
- (Q2992764) (← links)
- Kriging-based generation of optimal databases as forward and inverse surrogate models (Q3580834) (← links)
- Adaptive Numerical Designs for the Calibration of Computer Codes (Q4636370) (← links)
- Bayesian Optimization of Expected Quadratic Loss for Multiresponse Computer Experiments with Internal Noise (Q5119634) (← links)
- Feasible set estimation under functional uncertainty by Gaussian process modelling (Q6090640) (← links)
- A sampling criterion for constrained Bayesian optimization with uncertainties (Q6126129) (← links)
- Non-parametric measure approximations for constrained multi-objective optimisation under uncertainty (Q6499894) (← links)
