Journal Article10.1016/S0305-0548(03)00146-1
A sequential-design metamodeling strategy for simulation optimization
Anthony C. Keys,Loren Paul Rees +1 more
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TL;DR: It is concluded that the nonparametric thin-plate spline sequential procedure faithfully reproduces the test case response surfaces and terminates reasonably, but it is also seen that misleading results may be obtained in systems heavily constrained by budget, and that splines may do a poor job fitting plateaus due to their inherent predisposition to "create ripples."
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About: This article is published in Computers & Operations Research. The article was published on 01 Oct 2004. The article focuses on the topics: Nonparametric statistics & Metamodeling.
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Citations
Proceedings of the 2004 winter simulation conference
Ricki G. Ingalls,Manuel D. Rossetti +1 more
- 01 Jan 2004
TL;DR: This tutorial explains the reasons for using this platform for simulation, discusses why this is frequently an efficient way to build simulation models and execute them, describes how to setup a spreadsheet simulation, and examines some limitations on the use of spreadsheets for simulation.
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Introduction to modeling and simulation
Anu Maria
- 01 Dec 1997
TL;DR: This introductory tutorial is an overview of simulation modeling and analysis for those unfamiliar with the area of discrete event simulation as well as beginners looking for a overview of the area.
Kriging interpolation in simulation: a survey
W.C.M. van Beers,Jack P. C. Kleijnen +1 more
- 05 Dec 2004
TL;DR: This paper presents novel, customized (application driven) sequential designs based on cross-validation and bootstrapping, and provides 'exact' interpolation of the underlying simulation models, which gives better global predictions than regression analysis.
A systematic comparison of metamodeling techniques for simulation optimization in Decision Support Systems
Yuan-Fang Li,Szu Hui Ng,Min Xie,Thong Ngee Goh +3 more
- 01 Sep 2010
TL;DR: A general optimization framework GA-META is proposed, which integrates metamodels into the Genetic Algorithm, to improve the efficiency and reliability of the decision making process and indicate that GA-Support Vector Regression achieves the best solution among the metAModels.
213
Metamodel-based simulation optimization: A systematic literature review
João Victor Soares Do Amaral,Chen Zhiguang,José Arnaldo Barra Montevechi,Rafael de Carvalho Miranda,Wilson Trigueiro de Sousa Junior +4 more
TL;DR: A systematic literature review of metamodeling-based simulation optimization (MBSO) suggests that this research area is growing in the past 15 years.
112
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