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dc.contributor.authorSaremi, Shahrzad
dc.contributor.authorMirjalili, Seyedali
dc.date.accessioned2018-08-22T00:25:42Z
dc.date.available2018-08-22T00:25:42Z
dc.date.issued2013
dc.identifier.issn2010-3743en_US
dc.identifier.doi10.7763/IJCCE.2013.V2.268en_US
dc.identifier.urihttp://hdl.handle.net/10072/380040
dc.description.abstractThis work integrates chaotic maps into the recently proposed heuristic algorithm called Biogeography-Based Optimization (BBO) algorithm. The effects of 3 different chaotic maps such as Circle, Sine, and Sinusoidal on improving the performance of BBO are investigated in terms of local optima avoidance and convergence speed. The algorithms are benchmarked on four thirty-dimensional test function such as Sphere, Schwefel, Rasterigin, and Griewank. The results prove that chaotic maps (especially Sine map) are able to improve the performance of BBO.en_US
dc.description.peerreviewedYesen_US
dc.languageEnglishen_US
dc.publisherInternational Academy Publishingen_US
dc.relation.ispartofpagefrom655en_US
dc.relation.ispartofpageto658en_US
dc.relation.ispartofissue6en_US
dc.relation.ispartofjournalInternational Journal of Computer and Communication Engineeringen_US
dc.relation.ispartofvolume2en_US
dc.subject.fieldofresearchInformation and Computing Sciences not elsewhere classifieden_US
dc.subject.fieldofresearchcode089999en_US
dc.titleIntegrating Chaos to Biogeography-Based Optimization Algorithmen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
dc.description.versionPublisheden_US
gro.rights.copyright© 2013 IACSIT. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.en_US
gro.hasfulltextFull Text
gro.griffith.authorMirjalili, Seyedali


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