Response surface methodology

By Raymond H. Myers, Douglas C. Montgomery. 1996

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Citations in the corpus

An evaluation of adaptive surrogate modeling based optimization with two benchmark problems (2014, methodology): “Duan et al. (1992, 1993, 1994) developed a widely used global optimization procedure, entitled the shuffled complex evolution (SCE-UA) algorithm.”
Axial-Flow Ventilation Fan Design Through Multi-Objective Optimization to Enhance Aerodynamic Performance (2011, methodology): “In the RSA model, an analysis of variance (ANOVA) and a regression analysis including t-statistics [1] are conducted to measure the uncertainty in a set of coefficients in a polynomial.”
Design Optimization of Internal Cooling Passage with V-shaped Ribs (2007, methodology): “Among the methods of numerical optimization, the response surface-based optimization method [ 11 ], as a global optimization method, has many advantages over the gradient-based methods [ 7 ].”
Enzymatic extruded starch as a carbon source for the production of poly(3-hydroxybutyrate-co-3-hydroxyvalerate) by Haloferax mediterranei (2006, methodology): “Although it is of interest to find the optimal combination of extrusion conditions using response surface method [31], the moisture content of starch would be restricted by the original moisture content (about 13% in wet basis) in the native starch; the screw speed would be restricted by the choke f”
Comparing error estimation measures for polynomial and kriging approximation of noise-free functions (2009, methodology): “An analytical estimate of GCV is available for polynomial response surface approximation ( Myers and Montgomery 1995 ).”
Crushing analysis and multiobjective crashworthiness optimization of tapered square tubes under oblique impact loading (2012, methodology): “[45].”