Hybridization of Particle Swarm Optimization with adaptive genetic algorithm operators

dc.contributor.authorMasrom, Suraya
dc.contributor.authorMoser, Irene
dc.contributor.authorMontgomery, James
dc.contributor.authorAbidin, Siti Zaleha Zainal
dc.contributor.authorOmar, Nasiroh
dc.coverage.spatialTBC
dc.date.accessioned2015-12-13T22:36:04Z
dc.date.created8 December 2013 through 10 December 2013
dc.date.issued2014
dc.date.updated2015-12-11T09:29:58Z
dc.description.abstractParticle Swarm Optimization (PSO) is a popular algorithm used extensively in continuous optimization. One of its well-known drawbacks is its propensity for premature convergence. Many techniques have been proposed for alleviating this problem. One of the
dc.identifier.isbn9781479935161
dc.identifier.urihttp://hdl.handle.net/1885/76615
dc.publisherIEEE
dc.relation.ispartofseries2013 13th International Conference on Intellient Systems Design and Applications, ISDA 2013
dc.sourceInternational Conference on Intelligent Systems Design and Applications, ISDA
dc.titleHybridization of Particle Swarm Optimization with adaptive genetic algorithm operators
dc.typeConference paper
local.bibliographicCitation.lastpage158
local.bibliographicCitation.startpage153
local.contributor.affiliationMasrom, Suraya, Universiti Teknologi MARA
local.contributor.affiliationMoser, Irene, Swinburne University
local.contributor.affiliationMontgomery, James, College of Engineering and Computer Science, ANU
local.contributor.affiliationAbidin, Siti Zaleha Zainal, Universiti Teknologi MARA
local.contributor.affiliationOmar, Nasiroh, Universiti Teknologi MARA
local.contributor.authoremailrepository.admin@anu.edu.au
local.contributor.authoruidMontgomery, James, u5072917
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080108 - Neural, Evolutionary and Fuzzy Computation
local.identifier.ariespublicationU3488905xPUB5418
local.identifier.doi10.1109/ISDA.2013.6920726
local.identifier.scopusID2-s2.0-84908178965
local.identifier.uidSubmittedByU3488905
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
01_Masrom_Hybridization_of_Particle_2014.pdf
Size:
616.41 KB
Format:
Adobe Portable Document Format
Back to topicon-arrow-up-solid
 
APRU
IARU
 
edX
Group of Eight Member

Acknowledgement of Country

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.


Contact ANUCopyrightDisclaimerPrivacyFreedom of Information

+61 2 6125 5111 The Australian National University, Canberra

TEQSA Provider ID: PRV12002 (Australian University) CRICOS Provider Code: 00120C ABN: 52 234 063 906