Pages that link to "Item:Q1011208"
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The following pages link to Kriging metamodeling in simulation: a review (Q1011208):
Displaying 50 items.
- Analysis of multi-objective Kriging-based methods for constrained global optimization (Q263179) (← links)
- Sensitivity analysis: a review of recent advances (Q320799) (← links)
- Switching regression metamodels in stochastic simulation (Q322641) (← links)
- A new variance-based global sensitivity analysis technique (Q340092) (← links)
- A learning heuristic for space mapping and searching self-organizing systems using adaptive mesh refinement (Q349400) (← links)
- An efficient class of direct search surrogate methods for solving expensive optimization problems with CPU-time-related functions (Q381689) (← links)
- Constrained efficient global optimization with support vector machines (Q381828) (← links)
- Concurrent treatment of parametric uncertainty and metamodeling uncertainty in robust design (Q381914) (← links)
- Exploring or reducing noise? A global optimization algorithm in the presence of noise (Q382006) (← links)
- Importance of verifying queue model assumptions before planning with simulation software (Q439533) (← links)
- Expected improvement in efficient global optimization through bootstrapped Kriging (Q445325) (← links)
- Optimal designs for Gaussian process models via spectral decomposition (Q460654) (← links)
- Global optimization of general constrained grey-box models: new method and its application to constrained PDEs for pressure swing adsorption (Q506438) (← links)
- ParEGO extensions for multi-objective optimization of expensive evaluation functions (Q506445) (← links)
- Continuous optimization via simulation using golden region search (Q621655) (← links)
- Gaussian process emulation for second-order Monte Carlo simulations (Q629122) (← links)
- Design of computer experiments: space filling and beyond (Q693293) (← links)
- A Kriging model-based expensive multiobjective optimization algorithm using R2 indicator of expectation improvement (Q779579) (← links)
- A mapping-based universal kriging model for order-of-addition experiments in drug combination studies (Q830482) (← links)
- Kriging-based infill sampling criterion for constraint handling in multi-objective optimization (Q905759) (← links)
- Constrained optimization in expensive simulation: novel approach (Q1038394) (← links)
- Statistical testing of optimality conditions in multiresponse simulation-based optimization (Q1042164) (← links)
- Surrogate-based feasibility analysis for black-box stochastic simulations with heteroscedastic noise (Q1668809) (← links)
- Reduced order models for many-query subsurface flow applications (Q1693620) (← links)
- Novel two-stage method for low-order polynomial model (Q1721485) (← links)
- Statistical analysis of complex and spatially dependent data: a review of object oriented spatial statistics (Q1751652) (← 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)
- Use of design sensitivity information in response surface and kriging metamodels (Q1863873) (← links)
- Computational reduction for parametrized PDEs: strategies and applications (Q1932780) (← links)
- A dynamic evolution scheme for structures with interval uncertainties by using bidirectional sequential Kriging method (Q1987927) (← links)
- Kriging-assisted topology optimization of crash structures (Q1987933) (← links)
- Crashworthiness optimization of VRB thin-walled structures under manufacturing constraints by the eHCA-VRB algorithm (Q1988932) (← links)
- Kernel parameter optimization for kriging based on structural risk minimization principle (Q1992574) (← links)
- Emulating dynamic non-linear simulators using Gaussian processes (Q2002727) (← links)
- Expected improvement for expensive optimization: a review (Q2022176) (← links)
- Coarsening in algebraic multigrid using Gaussian processes (Q2055509) (← links)
- Advanced computational technique based on kriging and Polynomial Chaos Expansion for structural stability of mechanical systems with uncertainties (Q2061435) (← links)
- Analyzing stochastic computer models: a review with opportunities (Q2075795) (← links)
- Learning ``best'' kernels from data in Gaussian process regression. With application to aerodynamics (Q2083686) (← links)
- A novel dual-stage adaptive kriging method for profust reliability analysis (Q2125471) (← links)
- Non-uniform rational basis spline hyper-surfaces for metamodelling (Q2180437) (← links)
- Dynamic simulation metamodeling using Mars: a case of radar simulation (Q2228788) (← links)
- Model-data-driven constitutive responses: application to a multiscale computational framework (Q2234818) (← links)
- Physics-informed multi-LSTM networks for metamodeling of nonlinear structures (Q2236167) (← links)
- Surrogate modeling of elasto-plastic problems via long short-term memory neural networks and proper orthogonal decomposition (Q2237770) (← links)
- Advanced single-loop kriging surrogate model method by combining the adaptive reduction of candidate sample pool for safety lifetime analysis (Q2240325) (← links)
- Rapid design of metamaterials via multitarget Bayesian optimization (Q2245155) (← links)
- A survey on kriging-based infill algorithms for multiobjective simulation optimization (Q2289950) (← links)
- High dimensional kriging metamodelling utilising gradient information (Q2290871) (← links)
