A constraint mapping approach to the structural optimization of an expensive model using surrogate
A constraint mapping approach to the structural optimization of an expensive model using surrogate
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 the constraints that change with models of varying fidelity. Her 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.
1-15
Leary, S.J.
5be3ae8b-b65d-4cff-9e28-fbf433e938d9
Bhaskar, A.
d4122e7c-5bf3-415f-9846-5b0fed645f3e
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
2000
Leary, S.J.
5be3ae8b-b65d-4cff-9e28-fbf433e938d9
Bhaskar, A.
d4122e7c-5bf3-415f-9846-5b0fed645f3e
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
Leary, S.J., Bhaskar, A. and Keane, A.J.
(2000)
A constraint mapping approach to the structural optimization of an expensive model using surrogate.
First International Workshop on Surrogate Modelling and Space Mapping for Engineering Optimization, Denmark.
16 - 18 Nov 2000.
.
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Conference or Workshop Item
(Paper)
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 the constraints that change with models of varying fidelity. Her 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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lear_01.pdf
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Published date: 2000
Venue - Dates:
First International Workshop on Surrogate Modelling and Space Mapping for Engineering Optimization, Denmark, 2000-11-16 - 2000-11-18
Identifiers
Local EPrints ID: 21419
URI: http://eprints.soton.ac.uk/id/eprint/21419
PURE UUID: 5edadae6-7ad5-4e63-a224-52d12a6138aa
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Date deposited: 22 Feb 2007
Last modified: 16 Mar 2024 02:53
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Author:
S.J. Leary
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