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dc.contributor.authorMirjalili, S.
dc.contributor.authorMohad Hashim, S.
dc.contributor.authorTaherzadeh, G.
dc.contributor.authorMirjalili, S.
dc.contributor.authorSalehi, S.
dc.contributor.editorHamid R. Arabnia, Ray R. Hashemi, Ashu M. G. Solo
dc.date.accessioned2017-05-03T16:08:56Z
dc.date.available2017-05-03T16:08:56Z
dc.date.issued2011
dc.date.modified2013-02-13T23:48:37Z
dc.identifier.urihttp://hdl.handle.net/10072/48831
dc.description.abstractParticle Swarm Optimization (PSO) is one of the most widely used heuristic algorithms. The simplicity and inexpensive computational cost make this algorithm very popular and powerful in solving wide ranges of problems. However, PSO suffers two problems of trapping in local minima and slow convergence speed. Binary version of this algorithm has been introduced for solving binary problems. Because BPSO uses the same concepts of PSO, it also undergoes the same problems. The main part of the binary version is the transfer function. There is not enough study in the literature focusing on the transfer function. In this study, eight new transfer functions dividing into two families (s-shape and v-shape) for binary particle swarm optimization are introduced and evaluated. Four benchmark optimization problems are employed in order to evaluate these transfer functions in terms of avoiding local minima, convergence speed, and accuracy of results. The results prove that the new introduced v-shape family of transfer functions could improve the performance of original binary PSO based on the above-mentioned drawbacks.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent618174 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherCSREA Press
dc.publisher.placeUnited States
dc.publisher.urihttp://www.world-academy-of-science.org/worldcomp11/ws/conferences/gem11
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofconferencenameGEM'11
dc.relation.ispartofconferencetitleProceedings of the 2011 International Conference on Genetic and Evolutionary Methods (GEM 11)
dc.relation.ispartofdatefrom2011-07-18
dc.relation.ispartofdateto2011-07-21
dc.relation.ispartoflocationLas Vegas, Nevada, USA
dc.rights.retentionY
dc.subject.fieldofresearchNeural, Evolutionary and Fuzzy Computation
dc.subject.fieldofresearchcode080108
dc.titleA Study of Different Transfer Functions for Binary Version of Particle Swarm Optimization
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.rights.copyright© 2012 CSREA. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.
gro.date.issued2011
gro.hasfulltextFull Text
gro.griffith.authorMirjalili, Seyedali


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

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