Pages that link to "Item:Q5892178"

The following pages link to Design and analysis of simulation experiments (Q5892178):

Displaying 40 items.

• Comparison of Gaussian process modeling software (Q65764) (← links)
• Integrated experimental design and nonlinear optimization to handle computationally expensive models under resource constraints (Q367165) (← links)
• How difficult is nonlinear optimization? A practical solver tuning approach, with illustrative results (Q1657404) (← 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)
• Gaussian processes for history-matching: application to an unconventional gas reservoir (Q1702365) (← links)
• Novel two-stage method for low-order polynomial model (Q1721485) (← links)
• A new loss function for multi-response optimization with model parameter uncertainty and implementation errors (Q1751673) (← links)
• Regression and Kriging metamodels with their experimental designs in simulation: a review (Q1752155) (← links)
• Comparison of Kriging-based algorithms for simulation optimization with heterogeneous noise (Q1753578) (← links)
• An improved approach for estimating the hyperparameters of the Kriging model for high-dimensional problems through the partial least squares method (Q1793472) (← links)
• Global sensitivity analysis in epidemiological modeling (Q2171531) (← links)
• Packing ovals in optimized regular polygons (Q2173521) (← links)
• A survey on kriging-based infill algorithms for multiobjective simulation optimization (Q2289950) (← links)
• A multiobjective stochastic simulation optimization algorithm (Q2301958) (← links)
• Sequential sensitivity analysis of expensive black-box simulators with metamodelling (Q2308244) (← links)
• Extreme value oriented random field discretization based on an hybrid polynomial chaos expansion -- Kriging approach (Q2310861) (← links)
• Simulation and Analytical Approach to the Identification of Significant Factors (Q2816669) (← links)
• Nonlinear Regression Analysis by Global Optimization: A Case Study in Space Engineering (Q3133916) (← links)
• 10 Kriging: methods and applications (Q3384281) (← links)
• Design of Experiments in Simulation (Q3694647) (← links)
• (Q3988844) (← links)
• (Q4473440) (← links)
• Plausible Screening Using Functional Properties for Simulations with Large Solution Spaces (Q5060518) (← links)
• LowCon: A Design-based Subsampling Approach in a Misspecified Linear Model (Q5066455) (← links)
• Bayesian Optimization Via Barrier Functions (Q5083356) (← links)
• Statistical Tests for Cross-Validation of Kriging Models (Q5084672) (← links)
• An Efficient Morris Method-Based Framework for Simulation Factor Screening (Q5139630) (← links)
• Tuning Algorithms for Stochastic Black-Box Optimization: State of the Art and Future Perspectives (Q5153496) (← links)
• (Q5252159) (← links)
• Design and analysis of simulation experiments (Q5920400) (← links)
• Let's practice what we preach: Planning and interpreting simulation studies with design and analysis of experiments (Q6059419) (← links)
• Cluster sampling for Morris method made easy (Q6076479) (← links)
• Sensitivity analysis of hybrid microgrids with application to deployed military units (Q6080756) (← links)
• Generating and validating cluster sampling matrices for model-free factor screening (Q6087543) (← links)
• A variational inference-based heteroscedastic Gaussian process approach for simulation metamodeling (Q6600044) (← links)
• Data farming: methods for the present, opportunities for the future (Q6600106) (← links)
• Replication or Exploration? Sequential Design for Stochastic Simulation Experiments (Q6621613) (← links)
• Sequential Optimization in Locally Important Dimensions (Q6631884) (← links)
• The Statistical Filter Approach to Constrained Optimization (Q6636548) (← links)