Pages that link to "Item:Q1029699"
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The following pages link to Global optimization of expensive-to-evaluate functions: An empirical comparison of two sampling criteria (Q1029699):
Displaying 15 items.
- Global optimization advances in mixed-integer nonlinear programming, MINLP, and constrained derivative-free optimization, CDFO (Q322958) (← links)
- Integrated experimental design and nonlinear optimization to handle computationally expensive models under resource constraints (Q367165) (← links)
- Variance or spectral density in sampled data filtering? (Q421300) (← links)
- Expected improvement in efficient global optimization through bootstrapped Kriging (Q445325) (← links)
- An informational approach to the global optimization of expensive-to-evaluate functions (Q835790) (← links)
- Constrained Bayesian optimization with noisy experiments (Q1738149) (← links)
- Simultaneous Kriging-based estimation and optimization of mean response (Q1941025) (← links)
- Expected improvement for expensive optimization: a review (Q2022176) (← links)
- Analyzing stochastic computer models: a review with opportunities (Q2075795) (← links)
- Bayesian optimization approaches for identifying the best genotype from a candidate population (Q2084441) (← links)
- A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization (Q2200665) (← links)
- On the choice of the low-dimensional domain for global optimization via random embeddings (Q2301180) (← links)
- Conditional optimization of a noisy function using a kriging metamodel (Q2416583) (← links)
- Designing an Optimal Search Algorithm with Respect to Prior Information (Q3459676) (← links)
- A surrogate-based optimization method with RBF neural network enhanced by linear interpolation and hybrid infill strategy (Q5746706) (← links)
