Recent advances in surrogate-based optimization
Recent advances in surrogate-based optimization
The evaluation of aerospace designs is synonymous with the use of long running computationally intensive simulations. This fuels the desire to harness the efficiency of surrogate-based methods in aerospace design optimization. Recent advances in surrogate-based design methodology bring the promise of efficient global optimization closer to reality. We review the present state of the art of constructing surrogate models and their use in optimization strategies. We make extensive use of pictorial examples and, since no method is truly universal, give guidance as to each method's strengths and weaknesses.
50-79
Forrester, Alexander I.J.
176bf191-3fc2-46b4-80e0-9d9a0cd7a572
Keane, Andy J.
26d7fa33-5415-4910-89d8-fb3620413def
10 January 2009
Forrester, Alexander I.J.
176bf191-3fc2-46b4-80e0-9d9a0cd7a572
Keane, Andy J.
26d7fa33-5415-4910-89d8-fb3620413def
Forrester, Alexander I.J. and Keane, Andy J.
(2009)
Recent advances in surrogate-based optimization.
Progress in Aerospace Sciences, 45 (1-3), .
(doi:10.1016/j.paerosci.2008.11.001).
Abstract
The evaluation of aerospace designs is synonymous with the use of long running computationally intensive simulations. This fuels the desire to harness the efficiency of surrogate-based methods in aerospace design optimization. Recent advances in surrogate-based design methodology bring the promise of efficient global optimization closer to reality. We review the present state of the art of constructing surrogate models and their use in optimization strategies. We make extensive use of pictorial examples and, since no method is truly universal, give guidance as to each method's strengths and weaknesses.
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Forr_09.pdf
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Published date: 10 January 2009
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Local EPrints ID: 65935
URI: http://eprints.soton.ac.uk/id/eprint/65935
ISSN: 0376-0421
PURE UUID: 59bd3c69-96c6-4451-9afd-88f72e6d8ef9
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Date deposited: 02 Apr 2009
Last modified: 14 Mar 2024 02:39
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