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)


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), pp. 385-398. (doi:10.1023/A:1016038305014).

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Description/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.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1023/A:1016038305014
ISSNs: 1389-4420 (print)
Keywords: kriging, space mapping, model fusion, expensive function optimization
Subjects:
ePrint ID: 22064
Date :
Date Event
2001Published
Date Deposited: 20 Mar 2006
Last Modified: 16 Apr 2017 22:53
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/22064

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