Pages that link to "Item:Q1752155"
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The following pages link to Regression and Kriging metamodels with their experimental designs in simulation: a review (Q1752155):
Displaying 32 items.
- Robust optimization using computer experiments (Q932202) (← links)
- Exact optimal designs for computer experiments via kriging metamodelling (Q974509) (← links)
- Kriging metamodeling in simulation: a review (Q1011208) (← links)
- A methodology for fitting and validating metamodels in simulation (Q1579457) (← links)
- Metamodeling: Radial basis functions, versus polynomials (Q1600896) (← links)
- A probabilistic procedure for quantifying the relative importance of model inputs characterized by second-order probability models (Q1644897) (← links)
- Sequential design strategies for mean response surface metamodeling via stochastic kriging with adaptive exploration and exploitation (Q1683081) (← links)
- Increasing the efficiency in integer simulation optimization: reducing the search space through data envelopment analysis and orthogonal arrays (Q1683098) (← links)
- TRANSFORM-ANN for online optimization of complex industrial processes: casting process as case study (Q1694351) (← links)
- A unified framework for stochastic optimization (Q1719609) (← links)
- Linear programming-based directed local search for expensive multi-objective optimization problems: application to drinking water production plants (Q1754046) (← links)
- Optimal allocation of runs in a simulation metamodel with several independent variables (Q1866985) (← links)
- Small response surface designs for metamodel estimation (Q1869483) (← links)
- Sensitivity analysis by experimental design and metamodelling: case study on simulation in national animal disease control (Q1869659) (← links)
- Analyzing stochastic computer models: a review with opportunities (Q2075795) (← links)
- Constrained multi-objective optimization of compact microwave circuits by design triangulation and Pareto front interpolation (Q2077995) (← links)
- Surrogate model approach for investigating the stability of a friction-induced oscillator of Duffing's type (Q2296783) (← links)
- Multivariate versus univariate Kriging metamodels for multi-response simulation models (Q2356270) (← links)
- An overview of the design and analysis of simulation experiments for sensitivity analysis (Q2387211) (← links)
- Customized sequential designs for random simulation experiments: Kriging metamodeling and bootstrapping (Q2426536) (← links)
- Application-driven sequential designs for simulation experiments: Kriging metamodelling (Q4661061) (← links)
- Efficient sequential experimental design for surrogate modeling of nested codes (Q4967799) (← links)
- Kriging-based unconstrained global optimization through multi-point sampling (Q5059380) (← links)
- Faster Kriging: Facing High-Dimensional Simulators (Q5130493) (← links)
- An Adaptive Exploration-Exploitation Algorithm for Constructing Metamodels in Random Simulation Using a Novel Sequential Experimental Design (Q5415896) (← links)
- Integrated parameter and tolerance design based on a multivariate Gaussian process model (Q6094371) (← links)
- Methods for constrained optimization of expensive mixed-integer multi-objective problems, with application to an internal combustion engine design problem (Q6107000) (← links)
- Stochastic simulation uncertainty analysis to accelerate flexible biomanufacturing process development (Q6113323) (← links)
- Probabilistic-learning-based stochastic surrogate model from small incomplete datasets for nonlinear dynamical systems (Q6118558) (← links)
- An improved sufficient dimension reduction-based kriging modeling method for high-dimensional evaluation-expensive problems (Q6120130) (← links)
- Polynomial-chaos-based conditional statistics for probabilistic learning with heterogeneous data applied to atomic collisions of helium on graphite substrate (Q6198152) (← links)
- Data farming: methods for the present, opportunities for the future (Q6600106) (← links)
