Gaussian radial basis functions for simulation metamodeling

Miyoung Shin, Robert G. Sargent, Amrit L. Goel

Research output: Contribution to journalConference articlepeer-review

25 Scopus citations

Abstract

This paper presents a novel approach for developing simulation metamodels using Gaussian radial basis functions. This approach is based on some recently developed mathematical results for radial basis functions. It is systematic, explicitly controls the underfilling and overfitting tradeoff, and uses a fast computational algorithm that requires minimal human involvement. This approach is illustrated by developing metamodels for the M/M/1 queueing system.

Original languageEnglish
Pages (from-to)483-488
Number of pages6
JournalWinter Simulation Conference Proceedings
Volume1
StatePublished - 2002
EventProceedings of the 2002 Winter Simulation Conference - San Diego, CA, United States
Duration: 8 Dec 200211 Dec 2002

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