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

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Original Publication URL: http://dx.doi.org/10.1023/A:1016038305014

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
ISSNs: 1389-4420 (print)
Related URLs:
Keywords: kriging, space mapping, model fusion, expensive function optimization
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: University Structure - Pre August 2011 > School of Engineering Sciences
ePrint ID: 22064
Date Deposited: 20 Mar 2006
Last Modified: 27 Mar 2014 18:11
Contact Email Address: S.J.Leary@soton.ac.uk
URI: http://eprints.soton.ac.uk/id/eprint/22064

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