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An algorithm for fast optimal Latin hypercube design of experiments
16 references·16 citing·22 second hopsampled
An algorithm for fast optimal Latin hypercube design of experiments (2009)An algorithm for fast optimal Latin hyper…Design and Analysis of Simulation Experiments (2018)Design and Analysis of Simula…State-of-the-Art Review: A User’s Guide to the Brave New World of Designing Simulation Experiments (2005)State-of-the-Art Review: A Us…Design and Analysis of Experiments (2005)Design and Analysis of Experi…An efficient algorithm for constructing optimal design of computer experiments (2004)An efficient algorithm for co…Overview of Modern Design of Experiments Methods for Computational Simulations (Invited) (2003)Overview of Modern Design of …Sampling Strategies for Computer Experiments: Design and Analysis (2001)Sampling Strategies for Compu…Algorithmic construction of optimal symmetric Latin hypercube designs (2000)Algorithmic construction of o…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…Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Response Surface Methodology:…Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Response Surface Methodology:…Response Surface Methodology (1996)Response Surface MethodologyExploratory designs for computational experiments (1995)Exploratory designs for compu…Optimal Latin-hypercube designs for computer experiments (1994)Optimal Latin-hypercube desig…Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Small sample sensitivity analysis techniques for computer models.with an application to risk assessment (1980)Small sample sensitivity anal…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A Comparison of Three Methods…System Reliability Analysis With Autocorrelated Kriging Predictions (2020)System Reliability Analysis W…Machine learning and Design of Experiments: Alternative approaches or complementary methodologies for quality improvement? (2020)Machine learning and Design o…Probabilistic sensitivity analysis of offshore wind turbines using a transformed Kullback-Leibler divergence (2019)Probabilistic sensitivity ana…A general failure-pursuing sampling framework for surrogate-based reliability analysis (2018)A general failure-pursuing sa…GPflowOpt: A Bayesian Optimization Library using TensorFlow (2017)GPflowOpt: A Bayesian Optimiz…A Critical Appraisal of Design of Experiments for Uncertainty Quantification (2017)A Critical Appraisal of Desig…Reliability Analysis With Monte Carlo Simulation and Dependent Kriging Predictions (2016)Reliability Analysis With Mon…Construction of nested maximin designs based on successive local enumeration and modified novel global harmony search algorithm (2016)Construction of nested maximi…Latin Hypercubes and Space-Filling Designs (2015)Latin Hypercubes and Space-Fi…An Adaptive Bayesian Sequential Sampling Approach for Global Metamodeling (2015)An Adaptive Bayesian Sequenti…A Tutorial on Latin Hypercube Design of Experiments (2015)A Tutorial on Latin Hypercube…Numerical studies of space-filling designs: optimization of Latin Hypercube Samples and subprojection properties (2013)Numerical studies of space-fi…An efficient optimum Latin hypercube sampling technique based on sequencing optimisation using simulated annealing (2013)An efficient optimum Latin hy…Optimizing Latin hypercube designs by particle swarm (2012)Optimizing Latin hypercube de…Efficient space-filling and non-collapsing sequential design strategies for simulation-based modeling (2011)Efficient space-filling and n…A novel algorithm of maximin Latin hypercube design using successive local enumeration (2011)A novel algorithm of maximin …Minimax and maximin distance designs (1990)Design of computer experiments: space filling and beyond (2011)Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence (2012)Design of computer experiments: A review (2017)Statistics for Experimenters (1979)Design and Analysis of Experiments (1998)Modeling and optimization I: Usability of response surface methodology (2006)Response surface methodology (2010)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal (1993)Sensitivity Analysis for Chemical Models (2005)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)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)Choosing the Sample Size of a Computer Experiment: A Practical Guide (2009)Bioprocess optimization using design‐of‐experiments methodology (2008)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)A unified framework for stochastic optimization (2018)Response Surfaces: Designs and Analyses (1997)Research Issues and Ideas in Statistical Process Control (1999)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 1996Response Surface Methodology: Process and Product Optimization Using Designed Experiments9,540 cited
  • 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
  • 1996Response Surface Methodology3,819 cited
  • 1979A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,766 cited
  • 1996Response Surface Methodology: Process and Product Optimization Using Designed Experiments3,255 cited
  • 1995Exploratory designs for computational experiments1,202 cited
  • 2005Design and Analysis of Experiments962 cited
  • 1980Small sample sensitivity analysis techniques for computer models.with an application to risk assessment837 cited
  • 2004An efficient algorithm for constructing optimal design of computer experiments671 cited
  • 1994Optimal Latin-hypercube designs for computer experiments634 cited
  • 2005State-of-the-Art Review: A User’s Guide to the Brave New World of Designing Simulation Experiments619 cited
  • 2018Design and Analysis of Simulation Experiments449 cited
  • 2000Algorithmic construction of optimal symmetric Latin hypercube designs429 cited

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2003
Overview of Modern Design of Experiments Methods for Computational Simulations (Invited)
393 cited
  • 2001Sampling Strategies for Computer Experiments: Design and Analysis380 cited
  • Cited by

    • 2015A Tutorial on Latin Hypercube Design of Experiments247 cited
    • 2011Efficient space-filling and non-collapsing sequential design strategies for simulation-based modeling226 cited
    • 2018A general failure-pursuing sampling framework for surrogate-based reliability analysis163 cited
    • 2013Numerical studies of space-filling designs: optimization of Latin Hypercube Samples and subprojection properties155 cited
    • 2016Reliability Analysis With Monte Carlo Simulation and Dependent Kriging Predictions145 cited
    • 2012Optimizing Latin hypercube designs by particle swarm79 cited
    • 2013An efficient optimum Latin hypercube sampling technique based on sequencing optimisation using simulated annealing75 cited
    • 2020System Reliability Analysis With Autocorrelated Kriging Predictions69 cited
    • 2015An Adaptive Bayesian Sequential Sampling Approach for Global Metamodeling68 cited
    • 2011A novel algorithm of maximin Latin hypercube design using successive local enumeration67 cited
    • 2020Machine learning and Design of Experiments: Alternative approaches or complementary methodologies for quality improvement?67 cited
    • 2017GPflowOpt: A Bayesian Optimization Library using TensorFlow53 cited
    • 2016Construction of nested maximin designs based on successive local enumeration and modified novel global harmony search algorithm52 cited
    • 2015Latin Hypercubes and Space-Filling Designs41 cited
    • 2019Probabilistic sensitivity analysis of offshore wind turbines using a transformed Kullback-Leibler divergence35 cited
    • 2017A Critical Appraisal of Design of Experiments for Uncertainty Quantification32 cited