Publicação: Search schemes for random optimization algorithms that preserve the asymptotic distribution
dc.contributor.author | Dorea, CCY | |
dc.contributor.author | Goncalves, C. R. | |
dc.contributor.institution | Universidade de Brasília (UnB) | |
dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
dc.date.accessioned | 2014-05-20T13:23:29Z | |
dc.date.available | 2014-05-20T13:23:29Z | |
dc.date.issued | 1999-09-01 | |
dc.description.abstract | Markovian algorithms for estimating the global maximum or minimum of real valued functions defined on some domain Omega subset of R-d are presented. Conditions on the search schemes that preserve the asymptotic distribution are derived. Global and local search schemes satisfying these conditions are analysed and shown to yield sharper confidence intervals when compared to the i.i.d. case. | en |
dc.description.affiliation | Univ Brasilia, Dept Matemat, BR-70910900 Brasilia, DF, Brazil | |
dc.description.affiliation | Univ Estadual Paulista, Dept Matemat, BR-19060900 Presdidente Prudente, SP, Brazil | |
dc.description.affiliationUnesp | Univ Estadual Paulista, Dept Matemat, BR-19060900 Presdidente Prudente, SP, Brazil | |
dc.format.extent | 825-836 | |
dc.identifier | http://projecteuclid.org/euclid.jap/1032374637 | |
dc.identifier | http://www.jstor.org/stable/3215444 | |
dc.identifier.citation | Journal of Applied Probability. Sheffield: Applied Probability Trust, v. 36, n. 3, p. 825-836, 1999. | |
dc.identifier.issn | 0021-9002 | |
dc.identifier.uri | http://hdl.handle.net/11449/7086 | |
dc.identifier.wos | WOS:000084090500017 | |
dc.language.iso | eng | |
dc.publisher | Applied Probability Trust | |
dc.relation.ispartof | Journal of Applied Probability | |
dc.relation.ispartofjcr | 0.830 | |
dc.relation.ispartofsjr | 0,797 | |
dc.rights.accessRights | Acesso restrito | |
dc.source | Web of Science | |
dc.subject | random search algorithms | pt |
dc.subject | global optimization | pt |
dc.subject | search schemes | pt |
dc.subject | asymptotic distribution | pt |
dc.title | Search schemes for random optimization algorithms that preserve the asymptotic distribution | en |
dc.type | Artigo | |
dcterms.license | http://www.appliedprobability.org/content.aspx?Group=journals&Page=japcontributors | |
dcterms.rightsHolder | Applied Probability Trust | |
dspace.entity.type | Publication | |
unesp.campus | Universidade Estadual Paulista (UNESP), Faculdade de Ciências e Tecnologia, Presidente Prudente | pt |
unesp.department | Matemática e Computação - FCT | pt |
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