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Multiobjective optimization using kriging for industrial applications

Multiobjective optimization using kriging for industrial applications
Multiobjective optimization using kriging for industrial applications
This study demonstrates advances in multiobjective optimization, supporting a robustness study of a simplified jet engine structural model. The ultimate goal is to find the best structural configuration of shell thicknesses along the engine that will be robust to a variety of exgternal loads, will be as light as possible and where fuel consumption will be minimal. These are competitive objectives some of which are stochastic rather than deterministic in nature. The paper demonstrates that a deep level multiobjective search pays off many times the investment in time and money by providing significant design improvement
9789544650438
107-110
University of Chemical Technology and Metallurgy
Voutchkov, I.
16640210-6d07-49cc-aebd-28bf89c7ac27
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
Hadjiski, M.
Boshnakov, K.
Batchkova, I.
Voutchkov, I.
16640210-6d07-49cc-aebd-28bf89c7ac27
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
Hadjiski, M.
Boshnakov, K.
Batchkova, I.

Voutchkov, I. and Keane, A.J. (2011) Multiobjective optimization using kriging for industrial applications. Hadjiski, M., Boshnakov, K. and Batchkova, I. (eds.) In Proceedings of Anniversary Scientific Conference: 40 Years Department of Industrial Automation. University of Chemical Technology and Metallurgy. pp. 107-110 .

Record type: Conference or Workshop Item (Paper)

Abstract

This study demonstrates advances in multiobjective optimization, supporting a robustness study of a simplified jet engine structural model. The ultimate goal is to find the best structural configuration of shell thicknesses along the engine that will be robust to a variety of exgternal loads, will be as light as possible and where fuel consumption will be minimal. These are competitive objectives some of which are stochastic rather than deterministic in nature. The paper demonstrates that a deep level multiobjective search pays off many times the investment in time and money by providing significant design improvement

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Published date: March 2011
Venue - Dates: Anniversary Scientific Conference 40 Years Department of Industrial Automation, Sofia, Bulgaria, 2011-03-18

Identifiers

Local EPrints ID: 180697
URI: http://eprints.soton.ac.uk/id/eprint/180697
ISBN: 9789544650438
PURE UUID: df369db8-4c66-44f9-87c4-0f4fad2a65fe
ORCID for A.J. Keane: ORCID iD orcid.org/0000-0001-7993-1569

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Date deposited: 14 Apr 2011 14:03
Last modified: 15 Mar 2024 02:52

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Contributors

Author: I. Voutchkov
Author: A.J. Keane ORCID iD
Editor: M. Hadjiski
Editor: K. Boshnakov
Editor: I. Batchkova

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