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Decoupling uncertainty quantification from robust design optimization
16 references·3 citing·32 second hop
Decoupling uncertainty quantification from robust design optimization (2019)Decoupling uncertainty quantification fro…Metamodel-based importance sampling for structural reliability analysis (2013)Metamodel-based importance sa…AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)AK-MCS: An active learning re…A non-adapted sparse approximation of PDEs with stochastic inputs (2011)A non-adapted sparse approxim…Adaptive sparse polynomial chaos expansion based on least angle regression (2010)Adaptive sparse polynomial ch…Computational methods in optimization considering uncertainties – An overview (2008)Computational methods in opti…Robust optimization – A comprehensive survey (2007)Robust optimization – A compr…A review of robust optimal design and its application in dynamics (2004)A review of robust optimal de…The use of metamodeling techniques for optimization under uncertainty (2003)The use of metamodeling techn…The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)The Wiener--Askey Polynomial …Robust optimization considering tolerances of design variables (2001)Robust optimization consideri…High Dimensional Model Representations (2001)High Dimensional Model Repres…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Comparison of Three Methods…Towards a Better Understanding of Modeling Feasibility Robustness in Engineering Design (1999)Towards a Better Understandin…A Procedure for Robust Design: Minimizing Variations Caused by Noise Factors and Control Factors (1996)A Procedure for Robust Design…Quality Engineering through Design Optimization (1989)Quality Engineering through D…Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Intelligent initial point selection for MPP search in reliability-based design optimization (2020)Intelligent initial point sel…Gaussian process assisted stochastic dynamic analysis with applications to near-periodic structures (2020)Gaussian process assisted sto…Robustness Metric for Robust Design Optimization Under Time- and Space-Dependent Uncertainty Through Metamodeling (2019)Robustness Metric for Robust …Signal-to-Noise Ratios, Performance Criteria, and Transformations (1988)Quality Engineering Using Robust Design (1991)Taguchi's Parameter Design: A Panel Discussion (1992)Trends in Multiple Criteria Decision Analysis (2010)Stochastic Finite Elements: A Spectral Approach (1991)Structural Reliability Methods (1996)Estimation of small failure probabilities in high dimensions by subset simulation (2001)Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles (2011)A Chebyshev interval method for nonlinear dynamic systems under uncertainty (2012)Probability-interval hybrid uncertainty analysis for structures with both aleatory and epistemic uncertainties: a review (2017)A Stochastic Approximation Method (1951)Fuzzy sets (1996)Robust possibilistic programming for socially responsible supply chain network design: A new approach (2012)Kriging metamodeling in simulation: A review (2007)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)LIF: A new Kriging based learning function and its application to structural reliability analysis (2016)Efficient input—output model representations (1999)GUI–HDMR – A software tool for global sensitivity analysis of complex models (2008)An adaptive high-dimensional stochastic model representation technique for the solution of stochastic partial differential equations (2010)Global Sensitivity Analysis for Systems with Independent and/or Correlated Inputs (2010)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Machine learning-based methods in structural reliability analysis: A review (2021)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)Global sensitivity analysis using polynomial chaos expansions (2007)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)Efficient computation of global sensitivity indices using sparse polynomial chaos expansions (2010)UQLab: A Framework for Uncertainty Quantification in Matlab (2014)POLYNOMIAL-CHAOS-BASED KRIGING (2015)
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References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations4,821 cited
  • 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation2,048 cited
  • 2007Robust optimization – A comprehensive survey1,603 cited
  • 2010Adaptive sparse polynomial chaos expansion based on least angle regression1,507 cited
  • 2008Computational methods in optimization considering uncertainties – An overview573 cited
  • 1996A Procedure for Robust Design: Minimizing Variations Caused by Noise Factors and Control Factors566 cited
  • 2013Metamodel-based importance sampling for structural reliability analysis535 cited
  • 2001High Dimensional Model Representations497 cited
  • 2011A non-adapted sparse approximation of PDEs with stochastic inputs436 cited
  • 1999Towards a Better Understanding of Modeling Feasibility Robustness in Engineering Design371 cited
  • 2004A review of robust optimal design and its application in dynamics336 cited
  • 2003The use of metamodeling techniques for optimization under uncertainty326 cited

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1989
Quality Engineering through Design Optimization
290 cited
  • 2001Robust optimization considering tolerances of design variables288 cited
  • Cited by

    • 2019Robustness Metric for Robust Design Optimization Under Time- and Space-Dependent Uncertainty Through Metamodeling19 cited
    • 2020Intelligent initial point selection for MPP search in reliability-based design optimization18 cited
    • 2020Gaussian process assisted stochastic dynamic analysis with applications to near-periodic structures18 cited