Pages that link to "Item:Q5882392"
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The following pages link to An algorithmic framework for the optimization of computationally expensive bi-fidelity black-box problems (Q5882392):
Displaying 8 items.
- Survey of modeling and optimization strategies to solve high-dimensional design problems with computationally-expensive black-box functions (Q381435) (← links)
- MSO: a framework for bound-constrained black-box global optimization algorithms (Q524912) (← links)
- Surrogate-assisted bounding-box approach for optimization problems with tunable objectives fidelity (Q2010110) (← links)
- Surrogate optimization of deep neural networks for groundwater predictions (Q2046338) (← links)
- Quantifying uncertainty with ensembles of surrogates for blackbox optimization (Q2162525) (← links)
- Multi-fidelity algorithms for the horizontal alignment problem in road design (Q5059454) (← links)
- Bifidelity Surrogate Modelling: Showcasing the Need for New Test Instances (Q5060781) (← links)
- Warranty operation enhancement through social media knowledge: a deep-learning methods (Q6557747) (← links)
