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A New Approach for Multiple-Response Optimization
7 references·0 citing·29 second hop
A New Approach for Multiple-Response Optimization (2005)A New Approach for Multiple-Response Opti…A NOVEL MEANS OF APPLYING NEURAL NETWORKS TO OPTIMIZE THE MULTIRESPONSE PROBLEM (2001)A NOVEL MEANS OF APPLYING NEU…Response Surfaces: Designs and Analyses (1997)Response Surfaces: Designs an…Modified Desirability Functions for Multiple Response Optimization (1996)Modified Desirability Functio…A PRAGMATIC APPROACH TO MULTIPLE-RESPONSE PROBLEMS USING LOSS FUNCTIONS (1996)A PRAGMATIC APPROACH TO MULTI…A Nonlinear Programming Solution to the Dual Response Problem (1993)A Nonlinear Programming Solut…Quality Engineering in Production Systems (1990)Quality Engineering in Produc…Response Surfaces: Designs and Analyses. (1988)Response Surfaces: Designs an…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)Quality Engineering Using Robust Design (1990)Quality Engineering Using Robust Design (1991)Design and Analysis of Experiments (1992)VARIANCE OF PREDICTED RESPONSE AS AN OPTIMIZATION CRITERION IN MULTIRESPONSE EXPERIMENTS (2000)Multiresponse systems optimization using a goal attainment approach (2004)Statistics for experimenters. An introduction to design, data analysis, and model building. (1978)A new look at the response surface approach for reliability analysis (1993)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Response Surface Methodology: A Retrospective and Literature Survey (2004)Simultaneous Optimization of Several Response Variables (1980)Simultaneous Optimization of Multiple Responses Represented by Polynomial Regression Functions (1981)Dynamic multi-response optimization using principal component analysis and multiple criteria evaluation of the grey relation model (2006)Comparison of performances of five prospective approaches for the multi-response optimization (2009)Some New Three Level Designs for the Study of Quantitative Variables (1960)A Compromise Approach to Multiresponse Optimization (1998)Optimization of Designed Experiments Based on Multiple Criteria Utilizing a Pareto Frontier (2011)Statistical Process Monitoring and Feedback Adjustment: A Discussion (1992)Brocess capability with asymmetric tolerances (1994)Run by run process control: combining SPC and feedback control (1995)How to Apply Response Surface Methodology (1991)Simulation metamodels (2002)Response Surface Methodology (2008)
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References

  • 1997Response Surfaces: Designs and Analyses1,520 cited
  • 1990Quality Engineering in Production Systems894 cited
  • 1996Modified Desirability Functions for Multiple Response Optimization374 cited
  • 1993A Nonlinear Programming Solution to the Dual Response Problem300 cited
  • 1988Response Surfaces: Designs and Analyses.215 cited
  • 1996A PRAGMATIC APPROACH TO MULTIPLE-RESPONSE PROBLEMS USING LOSS FUNCTIONS55 cited
  • 2001A NOVEL MEANS OF APPLYING NEURAL NETWORKS TO OPTIMIZE THE MULTIRESPONSE PROBLEM41 cited

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