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Univariate parameterization for global optimization of mixed-integer polynomial problems

dc.contributor.authorTeles, João P.
dc.contributor.authorCastro, Pedro
dc.contributor.authorMatos, Henrique A.
dc.date.accessioned2014-04-28T14:08:17Z
dc.date.available2014-04-28T14:08:17Z
dc.date.issued2013
dc.description.abstractThis paper presents a new relaxation technique to globally optimize mixed-integer polynomial programming problems that arise in many engineering and management contexts. Using a bilinear term as the basic building block, the underlying idea involves the discretization of one of the variables up to a chosen accuracy level (Teles, J.P., Castro, P.M., Matos, H.A. (2013). Multiparametric disaggregation technique for global optimization of polynomial programming problems. J. Glob. Optim. 55, 227–251), by means of a radix-based numeric representation system, coupled with a residual variable to effectively make its domain continuous. Binary variables are added to the formulation to choose the appropriate digit for each position together with new sets of continuous variables and constraints leading to the transformation of the original mixed-integer non-linear problem into a larger one of the mixed-integer linear programming type. The new underestimation approach can be made as tight as desired and is shown capable of providing considerably better lower bounds than a widely used global optimization solver for a specific class of design problems involving bilinear terms.por
dc.identifier.citationTeles, J.P.; Castro, P.M.; Matos, H.A. Univariate parameterization for global optimization of mixed-integer polynomial problems. In: European Journal of Operational Research, 2013, Vol. 229, p. 613-625 por
dc.identifier.issn0377-2217
dc.identifier.urihttp://hdl.handle.net/10400.9/2447
dc.language.isoengpor
dc.publisherElsevierpor
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.ejor.2013.03.042por
dc.subjectGlobal optimizationpor
dc.subjectNonlinear programmingpor
dc.subjectInteger programmingpor
dc.subjectMixed-integer nonlinear programmingpor
dc.titleUnivariate parameterization for global optimization of mixed-integer polynomial problemspor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage625por
oaire.citation.startPage613por
oaire.citation.titleEuropean Journal of Operational Researchpor
oaire.citation.volume229por
person.familyNameMatos
person.givenNameHenrique
person.identifier118375
person.identifier.ciencia-idF215-6622-49CC
person.identifier.orcid0000-0001-8128-7346
person.identifier.ridA-4946-2012
person.identifier.scopus-author-id6701829745
rcaap.rightsopenAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublicationf7ab75fb-9f5b-485f-aa2f-6181c2a82be8
relation.isAuthorOfPublication.latestForDiscoveryf7ab75fb-9f5b-485f-aa2f-6181c2a82be8

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