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Metamodels for Computer-based Engineering Design: Survey and recommendations
This paper surveys their existing application in engineering design, and addresses the dangers of applying traditional statistical techniques to approximate deterministic computer analysis codes, along with recommendations for the appropriate use of statistical approximation techniques in given situations. Expand
Comparative studies of metamodelling techniques under multiple modelling criteria
Abstract.Despite advances in computer capacity, the enormous computational cost of running complex engineering simulations makes it impractical to rely exclusively on simulation for the purpose ofExpand
Product family design and platform-based product development: a state-of-the-art review
A decision framework is introduced to reveal a holistic view of product family design and platform-based product development, encompassing both front-end and back-end issues. Expand
Product platform design and customization: Status and promise
  • T. Simpson
  • Computer Science, Engineering
  • Artificial Intelligence for Engineering Design…
  • 1 February 2004
This paper provides a comprehensive review of the flurry of research activity that has occurred during that time to facilitate product family design and platform-based product development for mass customization. Expand
Product platform design: method and application
AbstractIn this paper we focus on scale-based product families derived from scalable product platforms that can be exploited from both a functional and a manufacturing standpoint to increase theExpand
Use of Kriging Models to Approximate Deterministic Computer Models
The use of kriging models for approximation and metamodel-based design and optimization has been steadily on the rise in the past decade. The widespread usage of kriging models appears to be hamperedExpand
Kriging Models for Global Approximation in Simulation-Based Multidisciplinary Design Optimization
Response surface methods have been used for a variety of applications in aerospace engineering, particularly in multidisciplinary design optimization. We investigate the use of kriging models asExpand
Comparative studies of metamodeling techniques under multiple modeling criteria
Despite the advances in computer capacity, the enormous computational cost of complex engineering simulations makes it impractical to rely exclusively on simulation for the purpose of designExpand
Analysis of support vector regression for approximation of complex engineering analyses
This paper presents Support Vector Regression (SVR) as an alternative technique for approximating complex engineering analyses and shows great promise for future metamodeling applications. Expand
Sampling Strategies for Computer Experiments: Design and Analysis
Comparing and contrast five experimental design types and four approximation model types in terms of their capability to generate accurate approximations for two engineering applications with typical engineering behaviors and a wide range of nonlinearity reveals that uniform designs provide good sampling for generating accurate approxIMations using different sample sizes while kriging models provide accurate approxims that are robust for use with a variety of experimental designs and sample sizes. Expand