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dc.contributor.authorDorea, CCY-
dc.contributor.authorGoncalves, C. R.-
dc.date.accessioned2014-05-20T15:27:46Z-
dc.date.accessioned2016-10-25T18:02:41Z-
dc.date.available2014-05-20T15:27:46Z-
dc.date.available2016-10-25T18:02:41Z-
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.identifier.urihttp://acervodigital.unesp.br/handle/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.sourceWeb of Science-
dc.subjectRANDOM OPTIMIZATIONpt
dc.subjectSAMPLING STRATEGYpt
dc.subjectEXPECTED LENGTHpt
dc.titleALTERNATIVE SAMPLING STRATEGY FOR A RANDOM OPTIMIZATION ALGORITHMen
dc.typeoutro-
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.ispartofJournal of Optimization Theory and Applications-
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