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A constraint mapping approach to the structural optimization of an expensive model using surrogates (in special issue on surrogate modelling and space mapping for engineering optimization)

A constraint mapping approach to the structural optimization of an expensive model using surrogates (in special issue on surrogate modelling and space mapping for engineering optimization)
A constraint mapping approach to the structural optimization of an expensive model using surrogates (in special issue on surrogate modelling and space mapping for engineering optimization)
The use of response surface methods are well established in the global optimization of expensive functions, the response surface acting as a surrogate to the expensive function objective. In structural design however, the change in objective may vary little between the two models: it is more often the constraints that change with models of varying fidelity. Here approaches are described whereby the coarse model constraints are mapped so that the mapped constraints more faithfully approximate the fine model constraints. The shape optimization of a simple structure demonstrates the approach.
kriging, space mapping, model fusion, expensive function optimization
1389-4420
385-398
Leary, Stephen J.
2f0f8880-bc29-4d3b-9af8-b66d759e4092
Bhaskar, Atul
d4122e7c-5bf3-415f-9846-5b0fed645f3e
Keane, Andy J.
26d7fa33-5415-4910-89d8-fb3620413def
Leary, Stephen J.
2f0f8880-bc29-4d3b-9af8-b66d759e4092
Bhaskar, Atul
d4122e7c-5bf3-415f-9846-5b0fed645f3e
Keane, Andy J.
26d7fa33-5415-4910-89d8-fb3620413def

Leary, Stephen J., Bhaskar, Atul and Keane, Andy J. (2001) A constraint mapping approach to the structural optimization of an expensive model using surrogates (in special issue on surrogate modelling and space mapping for engineering optimization). Optimization and Engineering, 2 (4), 385-398. (doi:10.1023/A:1016038305014).

Record type: Article

Abstract

The use of response surface methods are well established in the global optimization of expensive functions, the response surface acting as a surrogate to the expensive function objective. In structural design however, the change in objective may vary little between the two models: it is more often the constraints that change with models of varying fidelity. Here approaches are described whereby the coarse model constraints are mapped so that the mapped constraints more faithfully approximate the fine model constraints. The shape optimization of a simple structure demonstrates the approach.

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More information

Published date: 2001
Keywords: kriging, space mapping, model fusion, expensive function optimization

Identifiers

Local EPrints ID: 22064
URI: http://eprints.soton.ac.uk/id/eprint/22064
ISSN: 1389-4420
PURE UUID: f367be09-f4e2-4e98-859d-85bc1c8274d0
ORCID for Andy J. Keane: ORCID iD orcid.org/0000-0001-7993-1569

Catalogue record

Date deposited: 20 Mar 2006
Last modified: 16 Mar 2024 02:53

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Contributors

Author: Stephen J. Leary
Author: Atul Bhaskar
Author: Andy J. Keane ORCID iD

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