Interval multi-objective optimisation of structures using adaptive Kriging approximations

Li, F; Luo, Z; Rong, J; Zhang, N

Interval multi-objective optimisation of structures using adaptive Kriging approximations

Li, F Luo, Z

Rong, J Zhang, N

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Publication Type:: Journal Article
Citation:: Computers and Structures, 2013, 119 pp. 68 - 84
Issue Date:: 2013-02-18

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Field	Value	Language
dc.contributor.author	Li, F	en_US
dc.contributor.author	Luo, Z https://orcid.org/0000-0002-6953-3986	en_US
dc.contributor.author	Rong, J	en_US
dc.contributor.author	Zhang, N https://orcid.org/0000-0001-6408-0044	en_US
dc.date.issued	2013-02-18	en_US
dc.identifier.citation	Computers and Structures, 2013, 119 pp. 68 - 84	en_US
dc.identifier.issn	0045-7949	en_US
dc.identifier.uri	http://hdl.handle.net/10453/27554
dc.description.abstract	This paper proposes an interval uncertain multi-objective optimisation (IUMOO) method for structures with uncertain-but-bounded parameters. An adaptive Kriging model is established to improve the computational efficiency and numerical accuracy in the approximation of design functions. Latin Hypercube Design (LHD) is applied to achieve a set of sampling points both in the design and uncertain spaces for calibrating the Kriging surrogate model. The interval number programming method is used to transform the uncertain optimisation into a corresponding deterministic multi-objective optimisation. Typical numerical examples are used to demonstrate the effectiveness of the proposed methodology.	en_US
dc.relation.ispartof	Computers and Structures	en_US
dc.relation.isbasedon	10.1016/j.compstruc.2012.12.028	en_US
dc.subject.classification	Applied Mathematics	en_US
dc.title	Interval multi-objective optimisation of structures using adaptive Kriging approximations	en_US
dc.type	Journal Article
utslib.citation.volume	119	en_US
utslib.for	0913 Mechanical Engineering	en_US
utslib.for	0902 Automotive Engineering	en_US
utslib.for	09 Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	119	en_US

Abstract:

This paper proposes an interval uncertain multi-objective optimisation (IUMOO) method for structures with uncertain-but-bounded parameters. An adaptive Kriging model is established to improve the computational efficiency and numerical accuracy in the approximation of design functions. Latin Hypercube Design (LHD) is applied to achieve a set of sampling points both in the design and uncertain spaces for calibrating the Kriging surrogate model. The interval number programming method is used to transform the uncertain optimisation into a corresponding deterministic multi-objective optimisation. Typical numerical examples are used to demonstrate the effectiveness of the proposed methodology.

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http://hdl.handle.net/10453/27554