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Formulations for Surrogate-Based Optimization Under Uncertainty
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Formulations for Surrogate-Based Optimization Under Uncertainty (2002)Formulations for Surrogate-Based Optimiza…DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 3.0 (2002)DAKOTA, A Multilevel Parallel…An Efficient Method For Probabilistic and Robust Design With Non-normal Distributions (2002)An Efficient Method For Proba…Safety-factor based approach for probability-based design optimization (2001)Safety-factor based approach …Simulation Budget Allocation for Further Enhancing the Efficiency of Ordinal Optimization (2000)Simulation Budget Allocation …Propagation of probabilistic uncertainty in complex physical systems using a stochastic finite element approach (1999)Propagation of probabilistic …Probability, reliability and statistical methods in engineering design (1999)Probability, reliability and …Sequential optimization and uncertainty propagation method for efficient optimization-based model calibration (2019)Sequential optimization and u…Special issue: a comprehensive study on enhanced optimization-based model calibration using gradient information (2018)Special issue: a comprehensiv…Dakota: Bridging Advanced Scalable Uncertainty Quantification Algorithms with Production Deployment (2017)Dakota: Bridging Advanced Sca…Monte Carlo Information-Reuse Approach to Aircraft Conceptual Design Optimization Under Uncertainty (2015)Monte Carlo Information-Reuse…Accurate predictions from noisy data: replication versus exploration with applications to structural failure (2014)Accurate predictions from noi…Optimizations Under Uncertainty Using Gradients, Hessians, and Surrogate Models (2012)Optimizations Under Uncertain…Optimization under uncertainty for electronics cooling design applications (2012)Optimization under uncertaint…Optimization Under Uncertainty Applied to Heat Sink Design (2012)Optimization Under Uncertaint…Approximate Reliability-Based Optimization Using a Three-Step Approach Based on Subset Simulation (2007)Approximate Reliability-Based…Second-Order Reliability Formulations in DAKOTA/UQ (2006)Second-Order Reliability Form…Reliability-Based Design Optimization for Shape Design of Compliant Micro-Electro-Mechanical Systems (2006)Reliability-Based Design Opti…Investigation of reliability method formulations in DAKOTA/UQ (2006)Investigation of reliability …Demonstration of probabilistic ordinal optimization concepts for continuous-variable optimization under uncertainty (2006)Demonstration of probabilisti…Optimal Design with Probabilistic Objective and Constraints (2005)Optimal Design with Probabili…Perspectives in Optimization Under Uncertainty: Algorithms and Applications (2004)Perspectives in Optimization …Stochastic Approximation Methods for Constrained and Unconstrained Systems (1978)A Guide to Simulation (1983)Feature Article: Optimization for simulation: Theory vs. Practice (2002)Optimization for Simulation: Theory vs. Practice (2002)A Knowledge-Gradient Policy for Sequential Information Collection (2008)Simulation modeling for analysis (2010)Robust Design Simulation: A Probabilistic Approach to Multidisciplinary Design (1999)Multilevel Monte Carlo Path Simulation (2008)Multifidelity approaches for optimization under uncertainty (2014)Multifidelity Monte Carlo estimation for large-scale uncertainty propagation (2018)Information Reuse for Importance Sampling in Reliability-Based Design Optimization (2020)Dynamic probabilistic risk assessment of nuclear power plants using multi-fidelity simulations (2022)Reliability-based optimization in structural engineering (1994)Estimation of small failure probabilities in high dimensions by subset simulation (2001)Reliability-based structural optimization using neural networks and Monte Carlo simulation (2002)Reliability based design optimization with approximate failure probability function in partitioned design space (2017)Augmented line sampling for approximation of failure probability function in reliability-based analysis (2019)An efficient method based on AK-MCS for estimating failure probability function (2020)Stochastic Finite Elements: A Spectral Approach (1991)Numerical solution of spectral stochastic finite element systems (1996)Non-Gaussian positive-definite matrix-valued random fields for elliptic stochastic partial differential operators (2005)Long-term behavior of polynomial chaos in stochastic flow simulations (2006)Strong and Weak Error Estimates for Elliptic Partial Differential Equations with Random Coefficients (2012)Structural Reliability under Incomplete Probability Information (1986)A New Study on Reliability-Based Design Optimization (1999)Efficient algorithms for mixed aleatory-epistemic uncertainty quantification with application to radiation-hardened electronics. Part I, algorithms and benchmark results. (2009)Kernel density estimation with bounded data (2017)Efficient time-variant reliability analysis through approximating the most probable point trajectory (2020)Structural Reliability Methods (1996)Stochastic Subset Optimization for reliability optimization and sensitivity analysis in system design (2009)Advances and applications of chance-constrained approaches to systems optimisation under uncertainty (2012)Sequential approximate optimization for design under uncertainty problems utilizing Kriging metamodeling in augmented input space (2016)Structural reliability under combined random load sequences (1978)Optimization algorithms for structural reliability (1991)An efficient strategy for reliability-based multidisciplinary design optimization using BLISS (2006)Design Optimization With System-Level Reliability Constraints (2008)A reliability-based multidisciplinary design optimization procedure based on combined probability and evidence theory (2013)Structural Reliability Analysis and Prediction (2017)Probability Concepts in Engineering Planning and Design (1975)Advanced probabilistic structural analysis method for implicit performance functions (1990)Experience with approximate reliability-based optimization methods (2004)Methods of structural safety (2006)Mixed aleatory-epistemic uncertainty quantification with stochastic expansions and optimization-based interval estimation (2011)Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis version 6.0 theory manual (2014)Refinement strategies for stratified sampling methods (2006)Sensitivity analysis techniques applied to a system of hyperbolic conservation laws (2011)Test Resource Allocation in Hierarchical Systems Using Bayesian Networks (2013)Verification, validation, and predictive capability in computational engineering and physics (2004)Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual. (2010)
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References

  • 1999Probability, reliability and statistical methods in engineering design1,377 cited
  • 2000Simulation Budget Allocation for Further Enhancing the Efficiency of Ordinal Optimization746 cited
  • 2001Safety-factor based approach for probability-based design optimization215 cited
  • 1999Propagation of probabilistic uncertainty in complex physical systems using a stochastic finite element approach186 cited
  • 2002DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 3.0142 cited
  • 2002An Efficient Method For Probabilistic and Robust Design With Non-normal Distributions80 cited

Cited by

  • 2005Optimal Design with Probabilistic Objective and Constraints73 cited
  • 2006Investigation of reliability method formulations in DAKOTA/UQ60 cited
  • 2007Approximate Reliability-Based Optimization Using a Three-Step Approach Based on Subset Simulation52 cited
  • 2015Monte Carlo Information-Reuse Approach to Aircraft Conceptual Design Optimization Under Uncertainty48 cited
  • 2012Optimizations Under Uncertainty Using Gradients, Hessians, and Surrogate Models38 cited
  • 2006Second-Order Reliability Formulations in DAKOTA/UQ32 cited
  • 2004Perspectives in Optimization Under Uncertainty: Algorithms and Applications24 cited

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2018
Special issue: a comprehensive study on enhanced optimization-based model calibration using gradient information
19 cited
  • 2006Reliability-Based Design Optimization for Shape Design of Compliant Micro-Electro-Mechanical Systems19 cited
  • 2012Optimization Under Uncertainty Applied to Heat Sink Design15 cited
  • 2006Demonstration of probabilistic ordinal optimization concepts for continuous-variable optimization under uncertainty13 cited
  • 2014Accurate predictions from noisy data: replication versus exploration with applications to structural failure11 cited
  • 2017Dakota: Bridging Advanced Scalable Uncertainty Quantification Algorithms with Production Deployment11 cited
  • 2019Sequential optimization and uncertainty propagation method for efficient optimization-based model calibration10 cited
  • 2012Optimization under uncertainty for electronics cooling design applications8 cited