%0 Journal Article %@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S} %@nexthigherunit 8JMKD3MGPCW/3ESGTTP %@archivingpolicy denypublisher denyfinaldraft %@resumeid %@resumeid 8JMKD3MGP5W/3C9JHMQ %X The unconstrained binary quadratic programming problem (QP) is a classical non-linear problem of optimizing a quadratic objective by a suitable choice of binary decision variables. This paper proposes new Lagrangean decompositions to find bounds for QP. The methods presented treat a mixed binary linear version (LQP) of QP with constraints represented by a graph. This graph is partitioned into clusters of vertices forming a dual problem that is solved by a subgradient algorithm. The subproblems formed by the generated subgraphs are solved by CPLEX. Computational experiments consider a data set formed by several difficult instances with different features. The results show the efficiency of the proposed methods over traditional Lagrangean relaxations and other methods found in the literature. %8 Mar. %N 2 %T Lagrangean decompositions for the unconstrained binary quadratic programming problem %@electronicmailaddress %@electronicmailaddress lorena@lac.inpe.br %@secondarytype PRE PI %K lagrangean relaxation with clusters, Unconstrained binary quadratic programming. %@usergroup administrator %@usergroup lattes %@usergroup marciana %@group %@group LAC-CTE-INPE-MCT-BR %@e-mailaddress lorena@lac.inpe.br %@secondarykey INPE--PRE/ %@secondarymark B1_ADMINISTRAÇÃO,_CIÊNCIAS_CONTÁBEIS_E_TURISMO B4_CIÊNCIA_DA_COMPUTAÇÃO B4_ECONOMIA B2_ENGENHARIAS_I B3_ENGENHARIAS_III B4_ENGENHARIAS_IV B3_INTERDISCIPLINAR B4_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA %F lattes: 7195702087655314 2 MauriLore:2011:LaDeUn %@issn 0969-6016 %2 dpi.inpe.br/plutao/2011/06.11.14.44.17 %@affiliation Fed Univ Espirito Santo UFES, Ctr Agrarian Sci, BR-29500000 Alegre, ES, Brazil %@affiliation Instituto Nacional de Pesquisas Espaciais (INPE) %@project FAPESP[04/11053-9]; CNPq[305225/2006-5] %B International Transactions in Operational Research %@versiontype publisher %P 257-270 %4 dpi.inpe.br/plutao/2011/06.11.14.44.16 %@documentstage not transferred %D 2011 %V 18 %@doi 10.1111/j.1475-3995.2009.00743.x %A Mauri, Geraldo Regis, %A Lorena, Luiz Antonio Nogueira, %@dissemination WEBSCI; PORTALCAPES. %@area COMP