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Optimizing discrete event dynamic systems via the gradient surface method
16 references·1 citing·36 second hop
Optimizing discrete event dynamic systems via the gradient surface method (1992)Optimizing discrete event dynamic systems…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 (1996)Response Surface MethodologyConvergence of a stochastic approximation algorithm for the GI/G/1 queue using infinitesimal perturbation analysis (1990)Convergence of a stochastic a…Techniques for simulation response optimization (1989)Techniques for simulation res…Sensitivity Analysis for Simulations via Likelihood Ratios (1989)Sensitivity Analysis for Simu…Perturbation analysis: the state of the art and research issues explained via the GI/G/1 queue (1989)Perturbation analysis: the st…Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Empirical Model-Building and Response Surfaces. (1988)Empirical Model-Building and …Empirical Model Building and Response Surfaces (1988)Empirical Model Building and …Single run optimization of a SIMAN model for closed loop flexible assembly systems (1987)Single run optimization of a …Optimization in simulation (1987)Optimization in simulationPerturbation analysis and optimization of queueing networks (1983)Perturbation analysis and opt…Multiple response surface methods in computer simulation (1977)Multiple response surface met…Response Surface Methodology (1973)Response Surface MethodologyAn Empirical Investigation of Optimum-Seeking in the Computer Simulation Situation (1973)An Empirical Investigation of…A Review of Response Surface Methodology: A Literature Survey (1966)A Review of Response Surface …Optimization via simulation: A review (1994)Optimization via simulation: …Point Processes and Queues (1981)Perturbation Analysis Gives Strongly Consistent Sensitivity Estimates for the M/G/1 Queue (1988)A Unified View of the IPA, SF, and LR Gradient Estimation Techniques (1990)Likelihood ratio gradient estimation for stochastic systems (1990)A gradient technique for general buffer storage design in a production line (1979)Control: A perspective (2014)A Review of Modern Computational Algorithms for Bayesian Optimal Design (2015)Statistics for Experimenters (1979)Book Review: Statistical Principles in Experimental Design (1992)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data (2014)Design of Experiments (1936)On a Measure of the Information Provided by an Experiment (1956)Minimax and maximin distance designs (1990)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Random Balance Experimentation (1959)The Application of Random Balance Designs (1959)The art of simulation (1964)Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)Factorial Sampling Plans for Preliminary Computational Experiments (1991)A Stochastic Approximation Method (1951)Simulation Modeling and Analysis. (1983)Implementation of the simultaneous perturbation algorithm for stochastic optimization (1998)Feature Article: Optimization for simulation: Theory vs. Practice (2002)Simulation optimization: a review of algorithms and applications (2015)On the Experimental Attainment of Optimum Conditions (1951)Some New Three Level Designs for the Study of Quantitative Variables (1960)On the Experimental Attainment of Optimum Conditions (1992)Response Surface Methodology: A Retrospective and Literature Survey (2004)Response-Surface Methods in R , Using rsm (2009)Response Surfaces: Designs and Analyses (1997)Response surface methodology (2010)Experimental Design: Review and Comment (1984)Three-level meta-analysis of dependent effect sizes (2012)
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References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,270 cited
  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 1988Empirical Model Building and Response Surfaces5,253 cited
  • 1996Response Surface Methodology3,837 cited
  • 1988Empirical Model-Building and Response Surfaces.1,919 cited
  • 1966A Review of Response Surface Methodology: A Literature Survey475 cited
  • 1973Response Surface Methodology471 cited
  • 1983Perturbation analysis and optimization of queueing networks296 cited
  • 1989Sensitivity Analysis for Simulations via Likelihood Ratios253 cited
  • 1989Perturbation analysis: the state of the art and research issues explained via the GI/G/1 queue211 cited
  • 1989Techniques for simulation response optimization118 cited
  • 1987Optimization in simulation101 cited
  • 1977Multiple response surface methods in computer simulation89 cited
  • 1990Convergence of a stochastic approximation algorithm for the GI/G/1 queue using infinitesimal perturbation analysis85 cited
  • 1973An Empirical Investigation of Optimum-Seeking in the Computer Simulation Situation54 cited

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  • 1987Single run optimization of a SIMAN model for closed loop flexible assembly systems47 cited
  • Cited by

    • 1994Optimization via simulation: A review420 cited