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Multiple response optimization: Analysis of genetic programming for symbolic regression and assessment of desirability functions
8 references·0 citing·38 second hop
Multiple response optimization: Analysis of genetic programming for symbolic regression and assessment of desirability functions (2019)Multiple response optimization: Analysis …A review on design, modeling and applications of computer experiments (2006)A review on design, modeling …Mean square error criteria to multiresponse process optimization by a new genetic algorithm (2005)Mean square error criteria to…Operations management research methodologies using quantitative modeling (2002)Operations management researc…A Compromise Approach to Multiresponse Optimization (1998)A Compromise Approach to Mult…A review of techniques for parameter sensitivity analysis of environmental models (1994)A review of techniques for pa…A Nonlinear Programming Solution to the Dual Response Problem (1993)A Nonlinear Programming Solut…Simultaneous Optimization of Multiple Responses Represented by Polynomial Regression Functions (1981)Simultaneous Optimization of …Simultaneous Optimization of Several Response Variables (1980)Simultaneous Optimization of …Empirical Model Building and Response Surfaces (1988)Empirical Model-Building and Response Surfaces. (1988)Combining Taguchi and Response Surface Philosophies: A Dual Response Approach (1990)Dual Response Surface Optimization: A Fuzzy Modeling Approach (1998)Response Surface Methodology—Current Status and Future Directions (1999)Robust Parameter Design: A Review (2003)Statistics for experimenters. An introduction to design, data analysis, and model building. (1978)Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Sensitivity Analysis for Chemical Models (2005)Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)Response Surface Methodology (1996)A robust parameter design for multi-response problems (2009)A goal programming-TOPSIS approach to multiple response optimization using the concepts of non-dominated solutions and prediction intervals (2011)A multivariate robust parameter optimization approach based on Principal Component Analysis with combined arrays (2014)On the Experimental Attainment of Optimum Conditions (1951)Multicriteria decision making (1992)On the Experimental Attainment of Optimum Conditions (1992)STRATEGIES FOR ROBUST MULTIRESPONSE QUALITY ENGINEERING (1993)Time Series Analysis: Forecasting and Control (1977)Simulation Modeling and Analysis. (1983)Case Study Research: Design and Methods (1984)Estudo de caso na engenharia de produção: estruturação e recomendações para sua condução (2007)A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection (2014)Artificial intelligence for decision support systems in the field of operations research: review and future scope of research (2021)Design and Analysis of Computer Experiments (1989)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Global sensitivity analysis of stochastic computer models with joint metamodels (2011)A Tutorial on Latin Hypercube Design of Experiments (2015)Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment (2017)Statistics for Experimenters (1979)A New Loss Function-Based Method for Multiresponse Optimization (2005)Multiresponse robust design: Mean square error (MSE) criterion (2005)An interactive desirability function method to multiresponse optimization (2008)Box-Behnken design: An alternative for the optimization of analytical methods (2007)Response surface methodology (2010)Experimental design and multiple response optimization. Using the desirability function in analytical methods development (2014)
this work references cited by second hop

References

  • 1980Simultaneous Optimization of Several Response Variables5,233 cited
  • 1994A review of techniques for parameter sensitivity analysis of environmental models1,964 cited
  • 2002Operations management research methodologies using quantitative modeling597 cited
  • 1981Simultaneous Optimization of Multiple Responses Represented by Polynomial Regression Functions386 cited
  • 2006A review on design, modeling and applications of computer experiments317 cited
  • 1993A Nonlinear Programming Solution to the Dual Response Problem300 cited
  • 1998A Compromise Approach to Multiresponse Optimization244 cited
  • 2005Mean square error criteria to multiresponse process optimization by a new genetic algorithm53 cited

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