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Simulation metamodels

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Simulation Techniques and Applications Optimal Experimental Design Methods Advanced Multi-Objective Optimization Algorithms

Abstract

The simulation community has used metamodels to study the behavior of computer simulations for over twenty-five years. The most popular techniques have been based on parametric polynomial response surface approximations. The article discusses developments in this area, including alternative metamodel types and experimental designs.

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1989Design and Analysis of Computer Experiments 1979Statistics for Experimenters 1988Empirical Model Building and Response Surfaces 1996Response Surface Methodology 1997Response Surfaces: Designs and Analyses 1990Statistical tools for simulation practitioners 2000A methodology for fitting and validating metamodels in simulation1Two anonymous referees' comments on the first draft lead to an improved organization of our paper.1 1991Bayesian design and analysis of computer experiments: Use of derivatives in surface prediction

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