A new hybrid fuzzy-goal programming scheme for multi-objective topological optimization of static and dynamic structures under multiple loading conditions

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dc.contributor.author Luo, Z
dc.contributor.author Yang, J
dc.contributor.author Zhang, Y
dc.contributor.author Abdel-Malek, K
dc.date.accessioned 2012-02-02T10:56:50Z
dc.date.issued 2006-01
dc.identifier.citation Structural and Multidisciplinary Optimization, 2006, 31 (1), pp. 26 - 39
dc.identifier.issn 1615-147X
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/15373
dc.description.abstract This work presents a hybrid fuzzy-goal multiobjective programming scheme for topological optimization of continuum structures, in which both static and dynamic loadings are considered. The proposed methodology for topological optimization first employs a fuzzy-goal programming scheme at the top level for multi-objective problems with static and dynamic objectives. For the static objective with multi-stiffness cases in the fuzzy-goal formulation, a hybrid approach, involving a hierarchical sequence approach or a hierarchical sequence approach coupled with a compromise programming method, is especially suggested for the statically loaded multi-stiffness structure at the sub-level. Concerning dynamic optimization problems of free vibration cases, nonstructural mass, oscillation of the objective function, and repeated eigenvalues are also discussed. Solid Isotropic Material with Penalization density-stiffness interpolation scheme is used to indicate the dependence of material modulus upon regularized element densities. The globally convergent version of the method of moving asymptotes and the sequential linear programming method are both employed as optimizers. Several applications have been applied to demonstrate the validation of the presented methodologies
dc.format Scott McWhirter
dc.publisher Springer
dc.relation.isbasedon 10.1007/s00158-005-0543-z
dc.title A new hybrid fuzzy-goal programming scheme for multi-objective topological optimization of static and dynamic structures under multiple loading conditions
dc.type Journal Article
dc.parent Structural and Multidisciplinary Optimization
dc.journal.volume 1
dc.journal.volume 31
dc.journal.number 1 en_US
dc.publocation USA en_US
dc.identifier.startpage 26 en_US
dc.identifier.endpage 39 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 0906 Electrical and Electronic Engineering
dc.personcode 111984
dc.percentage 100 en_US
dc.classification.name Electrical and Electronic Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords structural optimization; topology optimization; multi-objective; fuzzy-sets; goal programming; mathematical programming en_US
dc.description.keywords Image quality assessment
dc.description.keywords No reference
dc.description.keywords Image modeling
dc.description.keywords Contourlets
dc.description.keywords structural optimization
dc.description.keywords topology optimization
dc.description.keywords multi-objective
dc.description.keywords fuzzy-sets
dc.description.keywords goal programming
dc.description.keywords mathematical programming
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)

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