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dc.contributor.authorDorea, CCY
dc.contributor.authorGoncalves, C. R.
dc.date.accessioned2014-05-20T15:27:46Z
dc.date.available2014-05-20T15:27:46Z
dc.date.issued1993-08-01
dc.identifierhttp://dx.doi.org/10.1007/BF00939677
dc.identifier.citationJournal of Optimization Theory and Applications. New York: Plenum Publ Corp, v. 78, n. 2, p. 401-407, 1993.
dc.identifier.issn0022-3239
dc.identifier.urihttp://hdl.handle.net/11449/37703
dc.description.abstractAlternative sampling procedures are compared to the pure random search method. It is shown that the efficiency of the algorithm can be improved with respect to the expected number of steps to reach an epsilon-neighborhood of the optimal point.en
dc.format.extent401-407
dc.language.isoeng
dc.publisherPlenum Publ Corp
dc.relation.ispartofJournal of Optimization Theory and Applications
dc.sourceWeb of Science
dc.subjectRANDOM OPTIMIZATIONpt
dc.subjectSAMPLING STRATEGYpt
dc.subjectEXPECTED LENGTHpt
dc.titleALTERNATIVE SAMPLING STRATEGY FOR A RANDOM OPTIMIZATION ALGORITHMen
dc.typeArtigo
dcterms.licensehttp://www.springer.com/open+access/authors+rights
dcterms.rightsHolderPlenum Publ Corp
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.description.affiliationUNIV ESTADUAL PAULISTA,DEPT MATEMAT,SAO PAULO,BRAZIL
dc.description.affiliationUnespUNIV ESTADUAL PAULISTA,DEPT MATEMAT,SAO PAULO,BRAZIL
dc.identifier.doi10.1007/BF00939677
dc.identifier.wosWOS:A1993LZ35000011
dc.rights.accessRightsAcesso restrito
dc.relation.ispartofjcr1.234
dc.relation.ispartofsjr0,813
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