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

dc.contributorHong Kong Polytech Univ
dc.contributorZhejiang Univ
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T15:27:23Z
dc.date.available2014-05-20T15:27:23Z
dc.date.created2014-05-20T15:27:23Z
dc.date.issued2006-04-01
dc.identifierIEEE Transactions on Magnetics. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc., v. 42, n. 4, p. 1195-1198, 2006.
dc.identifier0018-9464
dc.identifierhttp://hdl.handle.net/11449/37379
dc.identifier10.1109/TMAG.2006.871425
dc.identifierWOS:000236675200174
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.
dc.languageeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relationIEEE Transactions on Magnetics
dc.relation1.467
dc.relation0,488
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjectant colony optimization (ACO)
dc.subjectdesign optimization
dc.subjectforaging behavior
dc.subjecttabu search method
dc.titleA modified ant colony optimization algorithm modeled on tabu-search methods
dc.typeArtículos de revistas


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