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A framework for Response Surface Methodology for simulation optimization
10 references·3 citing·30 second hop
A framework for Response Surface Methodology for simulation optimization (2000)A framework for Response Surface Methodol…Statistics as a Catalyst to Learning by Scientific Method Part I—An Example (1999)Statistics as a Catalyst to L…Optimization of Stochastic Models: The Interface Between Simulation and Optimization (1998)Optimization of Stochastic Mo…Simulation optimization (1997)Simulation optimizationResponse Surfaces: Designs and Analyses (1997)Response Surfaces: Designs an…Experimental Design for Sensitivity Analysis, Optimization and Validation of Simulation Models (1997)Experimental Design for Sensi…Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Response Surface Methodology:…Optimization via simulation: A review (1994)Optimization via simulation: …On the Experimental Attainment of Optimum Conditions (1992)On the Experimental Attainmen…Empirical Model Building and Response Surfaces (1988)Empirical Model Building and …Statistics for experimenters. An introduction to design, data analysis, and model building. (1978)Statistics for experimenters.…Efficient simulation budget allocation with regression (2012)Efficient simulation budget a…Stochastic System Design and Applications to Stochastically Robust Structural Control (2007)Stochastic System Design and …Response surface methodology's steepest ascent and step size revisited (2003)Response surface methodology'…Statistics for Experimenters (1979)Adaptive One-Factor-at-a-Time Experimentation and Expected Value of Improvement (2006)Response Surface Methodology (2007)Design of Experiments and machine learning for product innovation: A systematic literature review (2021)A Stochastic Approximation Method (1951)Simulation Modeling and Analysis. (1983)Discrete Event Systems: Sensitivity Analysis and Stochastic Optimization by the Score Function Method (1995)Simple Procedures for Selecting the Best Simulated System When the Number of Alternatives is Large (2001)Simulation Optimization: A Review, New Developments, and Applications (2006)Design of Experiments (1936)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)Some New Three Level Designs for the Study of Quantitative Variables (1960)Sequential Application of Simplex Designs in Optimisation and Evolutionary Operation (1962)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 and Analysis of Experiments (1998)Modeling and optimization I: Usability of response surface methodology (2006)Response surface methodology (2010)A new look at the response surface approach for reliability analysis (1993)Response Surface Methodology: A Retrospective and Literature Survey (2004)Regime Switching Stochastic Approximation Algorithms with Application to Adaptive Discrete Stochastic Optimization (2004)A Sequential Sampling Procedure for Stochastic Programming (2011)Simulation optimization: a review of algorithms and applications (2014)A survey of simulation optimization techniques and procedures (2002)Hybrid simulation–optimization methods: A taxonomy and discussion (2014)Quality Engineering Using Robust Design (1991)A review of techniques for parameter sensitivity analysis of environmental models (1994)Validation of regression metamodels in simulation: Bootstrap approach (2004)Validating and Calibrating Agent-Based Models: A Case Study (2007)Kriging metamodel with modified nugget-effect: The heteroscedastic variance case (2011)
this work references cited by second hop

References

  • 1996Response Surface Methodology: Process and Product Optimization Using Designed Experiments9,540 cited
  • 1988Empirical Model Building and Response Surfaces5,235 cited
  • 1978Statistics for experimenters. An introduction to design, data analysis, and model building.4,021 cited
  • 1992On the Experimental Attainment of Optimum Conditions3,451 cited
  • 1997Response Surfaces: Designs and Analyses1,520 cited
  • 1994Optimization via simulation: A review418 cited
  • 1997Simulation optimization351 cited
  • 1998Optimization of Stochastic Models: The Interface Between Simulation and Optimization195 cited
  • 1999Statistics as a Catalyst to Learning by Scientific Method Part I—An Example111 cited
  • 1997Experimental Design for Sensitivity Analysis, Optimization and Validation of Simulation Models95 cited

Cited by

  • 2003Response surface methodology's steepest ascent and step size revisited39 cited
  • 2012Efficient simulation budget allocation with regression30 cited
  • 2007Stochastic System Design and Applications to Stochastically Robust Structural Control13 cited

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