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dc.contributor.authorLewis, A
dc.contributor.authorAbramson, D
dc.contributor.authorPeachey, T
dc.contributor.editorRonald H. Perrott and Boleslaw K. Szymanski
dc.date.accessioned2017-05-03T12:48:46Z
dc.date.available2017-05-03T12:48:46Z
dc.date.issued2006
dc.date.modified2007-08-07T04:29:40Z
dc.identifier.issn1058-9244
dc.identifier.urihttp://hdl.handle.net/10072/11561
dc.description.abstractThis paper describes a method of parallelisation of the popular Nelder-Mead simplex optimisation algorithms that can lead to enhanced performance on parallel and distributed computing resources. Reducing sets of simplex vertices are used to derive search directions generally closely aligned with the local gradient. When tested on a range of problems drawn from real-world applications in science and engineering, this reducing set concurrent simplex (RSCS) variant of the Nelder-Mead algorithm compared favourably with the original algorithm, and also with the inherently parallel multidirectional search algorithm (MDS). All algorithms were implemented and tested in a general-purpose, grid-enabled optimisation toolset.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent35334 bytes
dc.format.extent580022 bytes
dc.format.mimetypetext/plain
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherIOS Press
dc.publisher.placeAmsterdam, The Netherlands
dc.publisher.urihttp://www.iospress.nl/loadtop/load.php?isbn=10589244
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom1
dc.relation.ispartofpageto11
dc.relation.ispartofissue1
dc.relation.ispartofjournalScientific Programming
dc.relation.ispartofvolume14
dc.rights.retentionY
dc.subject.fieldofresearchInformation and computing sciences
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchcode46
dc.subject.fieldofresearchcode40
dc.titleRSCS: A parallel simplex algorithm for the Nimrod/O optimization toolset
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.rights.copyright© 2006 IOS Press. Reproduced here in accordance with publisher policy. Please refer to the journal for the definitive published version.
gro.date.issued2006
gro.hasfulltextFull Text
gro.griffith.authorLewis, Andrew J.


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