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Reliability-based design: Artificial neural networks and double-loop reliability-based optimization approaches
16 references·16 citing·37 second hopsampled
Reliability-based design: Artificial neural networks and double-loop reliability-based optimization approaches (2017)Reliability-based design: Artificial neur…FReET: Software for the statistical and reliability analysis of engineering problems and FReET-D: Degradation module (2013)FReET: Software for the stati…INTRODUCTION TO STOCHASTIC SEARCH AND OPTIMIZATION: ESTIMATION, SIMULATION, AND CONTROL (2012)INTRODUCTION TO STOCHASTIC SE…A comparison of deterministic, reliability-based and risk-based structural optimization under uncertainty (2011)A comparison of deterministic…Reliability-Based Optimization Using Evolutionary Algorithms (2009)Reliability-Based Optimizatio…Correlation control in small-sample Monte Carlo type simulations I: A simulated annealing approach (2009)Correlation control in small-…Robust optimization – A comprehensive survey (2007)Robust optimization – A compr…ANN inverse analysis based on stochastic small-sample training set simulation (2006)ANN inverse analysis based on…Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control (2004)Introduction to Stochastic Se…Reliability-based structural optimization using neural networks and Monte Carlo simulation (2002)Reliability-based structural …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…Improvements to and limitations of Latin hypercube sampling (1998)Improvements to and limitatio…An inverse reliability method and its application (1998)An inverse reliability method…Inverse Reliability Problem (1994)Inverse Reliability ProblemReliability-Based Structural Optimization (1991)Reliability-Based Structural …A fast and efficient response surface approach for structural reliability problems (1990)A fast and efficient response…Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Comparison of Three Methods f…Novel method for reliability optimization design based on rough set theory and hybrid surrogate model (2024)Novel method for reliability …Active learning Kriging-based multi-objective modeling and optimization for system reliability-based robust design (2024)Active learning Kriging-based…A two-level surrogate framework for demand-objective time-variant reliability-based design optimization (2024)A two-level surrogate framewo…A sequential sampling-based Bayesian numerical method for reliability-based design optimization (2024)A sequential sampling-based B…A novel decoupled approach combining invertible cross-entropy method with Gaussian process modeling for reliability-based design and topology optimization (2024)A novel decoupled approach co…Sequential most probable point update combining Gaussian process and comprehensive learning PSO for structural reliability-based design optimization (2023)Sequential most probable poin…Reliability-based design optimization using adaptive Kriging-A single-loop strategy and a double-loop one (2023)Reliability-based design opti…An Overview of Adaptive-Surrogate-Model-Assisted Methods for Reliability-Based Design Optimization (2022)An Overview of Adaptive-Surro…Reliability-based design optimization under dependent random variables by a generalized polynomial chaos expansion (2021)Reliability-based design opti…Reliability index function approximation based on adaptive double-loop Kriging for reliability-based design optimization (2021)Reliability index function ap…Development of surrogate models in reliability-based design optimization: A review (2021)Development of surrogate mode…A Reliability optimization of a coupled soil structure interaction applied to an offshore wind turbine. (2021)A Reliability optimization of…A Two-Level Kriging-Based Approach with Active Learning for Solving Time-Variant Risk Optimization Problems (2020)A Two-Level Kriging-Based App…A modified hybrid method for a reliability-based design optimization applied to an offshore wind turbine (2020)A modified hybrid method for …Reliability-based design optimization using adaptive surrogate model and importance sampling-based modified SORA method (2019)Reliability-based design opti…An efficient optimization based on the robust hybrid method for the coupled acoustic–structural system (2018)An efficient optimization bas…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Simulation of simply cross correlated random fields by series expansion methods (2007)Refined Stratified Sampling for efficient Monte Carlo based uncertainty quantification (2015)A Stochastic Approximation Method (1951)Design and Analysis of Computer Experiments (1989)Fuzzy sets (1996)Computational methods in optimization considering uncertainties – An overview (2008)Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles (2011)Robust possibilistic programming for socially responsible supply chain network design: A new approach (2012)A new look at the response surface approach for reliability analysis (1993)Response Surface Methodology (1996)Moment methods for structural reliability (2001)Application of kriging method to structural reliability problems (2004)Digital simulation of random processes and its applications (1972)A distribution-free approach to inducing rank correlation among input variables (1982)Simulation of Stochastic Processes by Spectral Representation (1991)A study on algorithms for optimization of Latin hypercubes (2005)A Sequential Kriging reliability analysis method with characteristics of adaptive sampling regions and parallelizability (2016)Exact and Invariant Second-Moment Code Format (1974)Multiobjective Decision Making: Theory and Methodology (1983)Structural Reliability Methods (1996)A Critical Review of Surrogate Assisted Robust Design Optimization (2017)A Comparative Study of Metaheuristic Algorithms for Reliability-Based Design Optimization Problems (2020)A novel hybrid adaptive Kriging and water cycle algorithm for reliability-based design and optimization strategy: Application in offshore wind turbine monopile (2023)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)State-of-the-Art Review: A User’s Guide to the Brave New World of Designing Simulation Experiments (2005)Information-seeking, curiosity, and attention: computational and neural mechanisms (2013)Response surface methodology for constrained simulation optimization: An overview (2007)Monte Carlo sampling-based methods for stochastic optimization (2014)A unified framework for stochastic optimization (2018)A survey on approaches for reliability-based optimization (2010)Reliability-based design optimization using kriging surrogates and subset simulation (2011)A new learning function for Kriging and its applications to solve reliability problems in engineering (2015)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Uniform Design: Theory and Application (2000)
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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
  • 1979Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,238 cited
  • 2007Robust optimization – A comprehensive survey1,603 cited
  • 1990A fast and efficient response surface approach for structural reliability problems1,198 cited
  • 2012INTRODUCTION TO STOCHASTIC SEARCH AND OPTIMIZATION: ESTIMATION, SIMULATION, AND CONTROL1,004 cited
  • 2002Reliability-based structural optimization using neural networks and Monte Carlo simulation516 cited
  • 2004Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control375 cited
  • 1998Improvements to and limitations of Latin hypercube sampling299 cited
  • 2009Reliability-Based Optimization Using Evolutionary Algorithms243 cited
  • 2009Correlation control in small-sample Monte Carlo type simulations I: A simulated annealing approach211 cited
  • 1994Inverse Reliability Problem179 cited
  • 2011A comparison of deterministic, reliability-based and risk-based structural optimization under uncertainty168 cited
  • 1998An inverse reliability method and its application118 cited
  • 2006ANN inverse analysis based on stochastic small-sample training set simulation

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95 cited
  • 2013FReET: Software for the statistical and reliability analysis of engineering problems and FReET-D: Degradation module93 cited
  • 1991Reliability-Based Structural Optimization85 cited
  • Cited by

    • 2022An Overview of Adaptive-Surrogate-Model-Assisted Methods for Reliability-Based Design Optimization68 cited
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    • 2023Reliability-based design optimization using adaptive Kriging-A single-loop strategy and a double-loop one60 cited
    • 2024Novel method for reliability optimization design based on rough set theory and hybrid surrogate model55 cited
    • 2020A Two-Level Kriging-Based Approach with Active Learning for Solving Time-Variant Risk Optimization Problems54 cited
    • 2019Reliability-based design optimization using adaptive surrogate model and importance sampling-based modified SORA method41 cited
    • 2024A sequential sampling-based Bayesian numerical method for reliability-based design optimization38 cited
    • 2023Sequential most probable point update combining Gaussian process and comprehensive learning PSO for structural reliability-based design optimization35 cited
    • 2020A modified hybrid method for a reliability-based design optimization applied to an offshore wind turbine34 cited
    • 2024Active learning Kriging-based multi-objective modeling and optimization for system reliability-based robust design32 cited
    • 2018An efficient optimization based on the robust hybrid method for the coupled acoustic–structural system31 cited
    • 2021Development of surrogate models in reliability-based design optimization: A review28 cited
    • 2024A novel decoupled approach combining invertible cross-entropy method with Gaussian process modeling for reliability-based design and topology optimization24 cited
    • 2021Reliability-based design optimization under dependent random variables by a generalized polynomial chaos expansion20 cited
    • 2021A Reliability optimization of a coupled soil structure interaction applied to an offshore wind turbine.18 cited
    • 2024A two-level surrogate framework for demand-objective time-variant reliability-based design optimization18 cited