Adaptive Response Surface Method Using Inherited Latin Hypercube Design Points
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[1] George E. P. Box,et al. Evolutionary Operation: A Statistical Method for Process Improvement , 1969 .
[2] Klaus Schittkowski,et al. Test examples for nonlinear programming codes , 1980 .
[3] Ronald L. Iman,et al. Risk methodology for geologic disposal of radioactive waste: small sample sensitivity analysis techniques for computer models, with an application to risk assessment , 1980 .
[4] Klaus Schittkowski,et al. More test examples for nonlinear programming codes , 1981 .
[5] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[6] Panos M. Pardalos,et al. Constrained Global Optimization: Algorithms and Applications , 1987, Lecture Notes in Computer Science.
[7] Jerome Sacks,et al. Designs for Computer Experiments , 1989 .
[8] Aimo A. Törn,et al. Global Optimization , 1999, Science.
[9] Henry P. Wynn,et al. [Design and Analysis of Computer Experiments]: Rejoinder , 1989 .
[10] Thermoplastic polymer formulations: An approach through experimental design , 1992 .
[11] J. Renaud,et al. Improved coordination in non-hierarchic system optimization , 1992 .
[12] Jerome Sacks,et al. Integrated circuit design optimization using a sequential strategy , 1992, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..
[13] G. A. Gabriele,et al. Improved coordination in nonhierarchic system optimization , 1993 .
[14] Genichi Taguchi,et al. Taguchi methods : design of experiments , 1993 .
[15] Boxin Tang. Orthogonal Array-Based Latin Hypercubes , 1993 .
[16] C. D. Perttunen,et al. Lipschitzian optimization without the Lipschitz constant , 1993 .
[17] Jeong‐Soo Park. Optimal Latin-hypercube designs for computer experiments , 1994 .
[18] J. Renaud,et al. Approximation in nonhierarchic system optimization , 1994 .
[19] G. A. Gabriele,et al. Multidisciplinary analysis and optimization of discrete problems using response surface methods , 1995, DAC 1995.
[20] Wei Chen,et al. A robust concept exploration method for configuring complex systems , 1995 .
[21] Douglas C. Montgomery,et al. Response Surface Methodology: Process and Product Optimization Using Designed Experiments , 1995 .
[22] Raphael T. Haftka,et al. Optimization and experiments , 1995 .
[23] Farrokh Mistree,et al. A procedure for robust design: Minimizing variations caused by noise factors and control factors , 1996 .
[24] J. Dennis,et al. Approximation model management for optimization , 1996 .
[25] Douglas O. Stanley,et al. Approximation model building and multidisciplinary design optimization using response surface methods , 1996 .
[26] Natalia Alexandrov,et al. Multidisciplinary design optimization : state of the art , 1997 .
[27] S. Krishnamurty,et al. Trade-Offs in Robust Engineering Design , 1997, DAC 1997.
[28] T Watson Layne,et al. Multidisciplinary Optimization of a Supersonic Transport Using Design of Experiments Theory and Response Surface Modeling , 1997 .
[29] Roger A. Lepsch,et al. Response Surface Model Building and Multidisciplinary Optimization Using D-Optimal Designs , 1998 .
[30] Raphael T. Haftka,et al. Optimization and Experiments: A Survey , 1998 .
[31] J. Renaud,et al. New Adaptive Move-Limit Management Strategy for Approximate Optimization, Part 2 , 1998 .
[32] Timothy M. Mauery,et al. COMPARISON OF RESPONSE SURFACE AND KRIGING MODELS FOR MULTIDISCIPLINARY DESIGN OPTIMIZATION , 1998 .
[33] T. W. Layne,et al. A Comparison of Approximation Modeling Techniques: Polynomial Versus Interpolating Models , 1998 .
[34] Farrokh Mistree,et al. Statistical Approximations for Multidisciplinary Design Optimization: The Problem of Size , 1999 .
[35] Kenny Q. Ye,et al. Algorithmic construction of optimal symmetric Latin hypercube designs , 2000 .
[36] Wei Chen,et al. ROBUST CONCEPT EXPLORATION OF PROPULSION SYSTEMS WITH ENHANCED MODEL APPROXIMATION CAPABILITIES , 2000 .
[37] T. Simpson,et al. Comparative studies of metamodeling techniques under multiple modeling criteria , 2000 .
[38] Toby J. Mitchell,et al. An Algorithm for the Construction of “D-Optimal” Experimental Designs , 2000, Technometrics.
[39] Farrokh Mistree,et al. ROBUST CONCEPT EXPLORATION IN ENGINEERING DESIGN: METAMODELING TECHNIQUES AND GOAL FORMULATIONS , 2000 .
[40] Richard J. Beckman,et al. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code , 2000, Technometrics.
[41] Timothy W. Simpson,et al. Metamodels for Computer-based Engineering Design: Survey and recommendations , 2001, Engineering with Computers.
[42] G. Gary Wang,et al. ADAPTIVE RESPONSE SURFACE METHOD - A GLOBAL OPTIMIZATION SCHEME FOR APPROXIMATION-BASED DESIGN PROBLEMS , 2001 .
[43] T. Simpson,et al. Comparative studies of metamodelling techniques under multiple modelling criteria , 2001 .
[44] Bernard Grossman,et al. Variable Complexity Response Surface Design of an HSCT Con guration , 2003 .
[45] Thomas J. Santner,et al. Design and analysis of computer experiments , 1998 .