Pages that link to "Item:Q2139153"
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The following pages link to Multi-fidelity design optimisation strategy under uncertainty with limited computational budget (Q2139153):
Displaying 11 items.
- Constrained multifidelity optimization using model calibration (Q381821) (← links)
- Surrogate-assisted bounding-box approach for optimization problems with tunable objectives fidelity (Q2010110) (← links)
- Efficient aerodynamic analysis and optimization under uncertainty using multi-fidelity polynomial chaos-Kriging surrogate model (Q2084108) (← links)
- Use of low-fidelity models with machine-learning error correction for well placement optimization (Q2085088) (← links)
- Robust optimisation of computationally expensive models using adaptive multi-fidelity emulation (Q2240278) (← links)
- Multifidelity approaches for optimization under uncertainty (Q2952604) (← links)
- Template design under demand uncertainty by integer linear local search (Q3430258) (← links)
- A hybrid model-classifier framework for managing prediction uncertainty in expensive optimisation problems (Q5497417) (← links)
- An algorithmic framework for the optimization of computationally expensive bi-fidelity black-box problems (Q5882392) (← links)
- Probabilistic neural data fusion for learning from an arbitrary number of multi-fidelity data sets (Q6096443) (← links)
- A latent variable approach for non-hierarchical multi-fidelity adaptive sampling (Q6202955) (← links)
