Issues in development of simultaneous forward-inverse metamodels

Russell R. Barton

doi:10.1109/WSC.2005.1574253

Issues in development of simultaneous forward-inverse metamodels

Russell R. Barton

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

15 Scopus citations

Abstract

Metamodels provide estimates of simulation outputs as a function of design parameters. Often in the design of a system or product, one has performance targets in mind, and would like to identify system design parameters that would yield the target performance vector. Typically this is handled iteratively through an optimization search procedure. As an alternative, one could map system performance requirements to design parameters via an inverse metamodel. Inverse metamodels can be fitted 'for free,' given an experiment design to fit several forward models for multiple performance measures. This paper discusses this strategy, and some of the issues that must be resolved to make the approach practical.

Original language	English (US)
Title of host publication	Proceedings of the 2005 Winter Simulation Conference
Pages	209-217
Number of pages	9
DOIs	https://doi.org/10.1109/WSC.2005.1574253
State	Published - Dec 1 2005
Event	2005 Winter Simulation Conference - Orlando, FL, United States Duration: Dec 4 2005 → Dec 7 2005

Publication series

Name	Proceedings - Winter Simulation Conference
Volume	2005
ISSN (Print)	0891-7736

Other

Other	2005 Winter Simulation Conference
Country/Territory	United States
City	Orlando, FL
Period	12/4/05 → 12/7/05

All Science Journal Classification (ASJC) codes

Software
Modeling and Simulation
Computer Science Applications

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10.1109/WSC.2005.1574253

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abstract = "Metamodels provide estimates of simulation outputs as a function of design parameters. Often in the design of a system or product, one has performance targets in mind, and would like to identify system design parameters that would yield the target performance vector. Typically this is handled iteratively through an optimization search procedure. As an alternative, one could map system performance requirements to design parameters via an inverse metamodel. Inverse metamodels can be fitted 'for free,' given an experiment design to fit several forward models for multiple performance measures. This paper discusses this strategy, and some of the issues that must be resolved to make the approach practical.",

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AB - Metamodels provide estimates of simulation outputs as a function of design parameters. Often in the design of a system or product, one has performance targets in mind, and would like to identify system design parameters that would yield the target performance vector. Typically this is handled iteratively through an optimization search procedure. As an alternative, one could map system performance requirements to design parameters via an inverse metamodel. Inverse metamodels can be fitted 'for free,' given an experiment design to fit several forward models for multiple performance measures. This paper discusses this strategy, and some of the issues that must be resolved to make the approach practical.

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ER -

Issues in development of simultaneous forward-inverse metamodels

Abstract

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All Science Journal Classification (ASJC) codes

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