Towards Optimization of Multi-Material Structure: Metamodeling of Mixed-Variable Problems

[1]  M. Herrera,et al.  Metamodel-assisted optimization based on multiple kernel regression for mixed variables , 2014, Structural and Multidisciplinary Optimization.

[2]  Xu Xu,et al.  Surrogate Models for Mixed Discrete-Continuous Variables , 2014, Constraint Programming and Decision Making.

[3]  Jon C. Helton,et al.  Analysis of computationally demanding models with continuous and categorical inputs , 2013, Reliab. Eng. Syst. Saf..

[4]  Paul D. Arendt,et al.  Quantification of model uncertainty: Calibration, model discrepancy, and identifiability , 2012 .

[5]  Wei-Yin Loh,et al.  Classification and regression trees , 2011, WIREs Data Mining Knowl. Discov..

[6]  Wei Chen,et al.  Optimizing Latin hypercube design for sequential sampling of computer experiments , 2009 .

[7]  Robert B. Gramacy,et al.  Gaussian processes and limiting linear models , 2008, Comput. Stat. Data Anal..

[8]  S. Jack Hu,et al.  A method for optimal design of automotive body assembly using multi-material construction , 2008 .

[9]  Robert B. Gramacy,et al.  Ja n 20 08 Bayesian Treed Gaussian Process Models with an Application to Computer Modeling , 2009 .

[10]  Thomas J. Santner,et al.  Design and analysis of computer experiments , 1998 .

[11]  David Maxwell Chickering,et al.  Optimal Structure Identification With Greedy Search , 2002, J. Mach. Learn. Res..

[12]  T. Simpson,et al.  Comparative studies of metamodelling techniques under multiple modelling criteria , 2001 .

[13]  Timothy W. Simpson,et al.  Metamodels for Computer-based Engineering Design: Survey and recommendations , 2001, Engineering with Computers.

[14]  A. O'Hagan,et al.  Predicting the output from a complex computer code when fast approximations are available , 2000 .

[15]  R. Lewis An Introduction to Classification and Regression Tree (CART) Analysis , 2000 .

[16]  Gordon Blount,et al.  The suitability of aluminium as an alternative material for car bodies , 1999 .

[17]  A. J. Booker,et al.  A rigorous framework for optimization of expensive functions by surrogates , 1998 .

[18]  Arno Jambor,et al.  New cars — new materials , 1997 .

[19]  Marko Robnik-Sikonja,et al.  An adaptation of Relief for attribute estimation in regression , 1997, ICML.

[20]  Igor Kononenko,et al.  Estimating Attributes: Analysis and Extensions of RELIEF , 1994, ECML.

[21]  Bernard Widrow,et al.  The basic ideas in neural networks , 1994, CACM.

[22]  D. M. Titterington,et al.  Neural Networks: A Review from a Statistical Perspective , 1994 .

[23]  Prabhat Hajela,et al.  Neural networks in structural analysis and design - An overview , 1992 .

[24]  S. Zeger,et al.  Multivariate Regression Analyses for Categorical Data , 1992 .

[25]  Larry A. Rendell,et al.  The Feature Selection Problem: Traditional Methods and a New Algorithm , 1992, AAAI.

[26]  J. Friedman Multivariate adaptive regression splines , 1990 .

[27]  S. Rippa,et al.  Numerical Procedures for Surface Fitting of Scattered Data by Radial Functions , 1986 .

[28]  James R. Carr,et al.  Cokriging—a computer program , 1985 .

[29]  G. Matheron,et al.  A Simple Substitute for Conditional Expectation : The Disjunctive Kriging , 1976 .

[30]  R. L. Hardy Multiquadric equations of topography and other irregular surfaces , 1971 .