Show simple item record

dc.contributor.authorFolkman, Lukasen_US
dc.contributor.authorPullan, Wayne Johnen_US
dc.contributor.authorStantic, Belaen_US
dc.contributor.editorYang Xiang Alfredo Cuzzocrea Michael Hobbs Wanlei Zhouen_US
dc.date.accessioned2012-02-02en_US
dc.date.accessioned2012-03-12T05:41:21Z
dc.date.accessioned2017-03-01T22:21:34Z
dc.date.available2017-03-01T22:21:34Z
dc.date.issued2011en_US
dc.date.modified2012-03-12T05:41:21Z
dc.identifier.isbn978-3-642-24649-4en_US
dc.identifier.refurihttp://anss.org.au/ica3pp11/en_US
dc.identifier.doi10.1007/978-3-642-24669-2_7en_US
dc.identifier.urihttp://hdl.handle.net/10072/43564
dc.description.abstractProteins are one of the most vital macromolecules on the cellular level. In order to understand the function of a protein, its structure needs to be determined. For this purpose, different computational approaches have been introduced. Genetic algorithms can be used to search the vast space of all possible conformations of a protein in order to find its native structure. A framework for design of such algorithms that is both generic, easy to use and performs fast on distributed systems may help further development of genetic algorithm based approaches. We propose such a framework based on a parallel master-slave model which is implemented in C++ and Message Passing Interface. We evaluated its performance on distributed systems with a different number of processors and achieved a linear acceleration in proportion to the number of processing units.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.publisherSpringeren_US
dc.publisher.placeGermanyen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofconferencenameICA3PP 2011en_US
dc.relation.ispartofconferencetitle11th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2011)en_US
dc.relation.ispartofdatefrom2011-10-24en_US
dc.relation.ispartofdateto2011-10-26en_US
dc.relation.ispartoflocationMelbourne, Australiaen_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchNeural, Evolutionary and Fuzzy Computationen_US
dc.subject.fieldofresearchcode080108en_US
dc.titleGeneric Parallel Genetic Algorithm Framework for Protein Optimisationen_US
dc.typeConference output
dc.type.descriptionConference Publications (Full Written Paper - Refereed)en_US
dc.type.codee1en_US
gro.facultyFaculty of Science, Environment, Engineering and Technologyen_US
gro.date.issued2011
gro.hasfulltextNo Full Text


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

  • Conference outputs
    Contains papers delivered by Griffith authors at national and international conferences.

Show simple item record