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A modified ant colony optimization algorithm modeled on tabu-search methods

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dc.contributor.authorHo, S. L.
dc.contributor.authorYang, S. Y.
dc.contributor.authorNi, G. Z.
dc.contributor.authorMachado, J. M.
dc.contributor.institutionHong Kong Polytech Univ
dc.contributor.institutionZhejiang Univ
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T15:27:23Z
dc.date.available2014-05-20T15:27:23Z
dc.date.issued2006-04-01
dc.description.abstractAn earlier model underlying the foraging strategy of a pachycodyla apicalis ant is modified. The proposed algorithm incorporates key features of the tabu-search method in the development of a relatively simple but robust global ant colony optimization algorithm. Numerical results are reported to validate and demonstrate the feasibility and effectiveness of the proposed algorithm in solving electromagnetic (EM) design problems.en
dc.description.affiliationHong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China
dc.description.affiliationZhejiang Univ, Coll Elect Engn, Hangzhou 310027, Peoples R China
dc.description.affiliationUNESP, Sao Josa do Rio Preto, Brazil
dc.description.affiliationUnespUNESP, Sao Josa do Rio Preto, Brazil
dc.format.extent1195-1198
dc.identifierhttp://dx.doi.org/10.1109/TMAG.2006.871425
dc.identifier.citationIEEE Transactions on Magnetics. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc., v. 42, n. 4, p. 1195-1198, 2006.
dc.identifier.doi10.1109/TMAG.2006.871425
dc.identifier.issn0018-9464
dc.identifier.urihttp://hdl.handle.net/11449/37379
dc.identifier.wosWOS:000236675200174
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofIEEE Transactions on Magnetics
dc.relation.ispartofjcr1.467
dc.relation.ispartofsjr0,488
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectant colony optimization (ACO)pt
dc.subjectdesign optimizationpt
dc.subjectforaging behaviorpt
dc.subjecttabu search methodpt
dc.titleA modified ant colony optimization algorithm modeled on tabu-search methodsen
dc.typeArtigo
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIEEE-Inst Electrical Electronics Engineers Inc
dspace.entity.typePublication

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