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dc.contributor.authorWu, Yongen_US
dc.contributor.authorOzdamar, Lineten_US
dc.contributor.authorKumar, Arunen_US
dc.contributor.editorJanos Pinteren_US
dc.date.accessioned2017-05-03T15:54:50Z
dc.date.available2017-05-03T15:54:50Z
dc.date.issued2006en_US
dc.date.modified2011-02-15T12:54:02Z
dc.identifier.isbn9780387304083en_US
dc.identifier.doi10.1007/0-387-30927-6_20en_AU
dc.identifier.urihttp://hdl.handle.net/10072/36196
dc.description.abstractWe propose a parallel triangulation based partitioning algorithm (TRIOPT) for solving low dimensional bound-constrained black box global optimization problems. Black box optimization problems are important in engineering design where restricted numbers of input-output pairs are provided as data. Optimization is carried out over sparse data in the absence of a formal mathematical relationship among inputs and outputs. In such settings, function evaluations become expensive, because system performance assessment might be conducted via simulation studies or physical experiments. Thus, the optimal solution should be found in a minimal number of function evaluations. In TRIOPT, input-output pairs are treated as samples located in the search domain and search space coverage is obtained over these samples by triangulation. This produces an initial partition of the domain. Thereafter, each simplex is assessed for re-partitioning in parallel. In this assessment, performance values at the vertices are transformed and mapped to [0,1] interval using a non-linear transformation function with dynamic parameters. Transformed values are then aggregated into a group measureen_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherSpringeren_US
dc.publisher.placeGermanyen_US
dc.relation.ispartofbooktitleGlobal Optimizationen_US
dc.relation.ispartofchapter20en_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom487en_US
dc.relation.ispartofpageto506en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchOptimisationen_US
dc.subject.fieldofresearchcode010303en_US
dc.titleParallel triangulated partitioning for black box optimizationen_US
dc.typeBook chapteren_US
dc.type.descriptionB1 - Book Chapters (HERDC)en_US
dc.type.codeB - Book Chaptersen_US
gro.date.issued2006
gro.hasfulltextNo Full Text


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