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Interior point filter method for semi-infinite programming problems

dc.contributor.authorPereira, Ana I.
dc.contributor.authorCosta, M. Fernanda P.
dc.contributor.authorFernandes, Edite M.G.P.
dc.date.accessioned2012-09-13T10:07:04Z
dc.date.available2012-09-13T10:07:04Z
dc.date.issued2011
dc.description.abstractSemi-infinite programming (SIP) problems can be efficiently solved by reduction-type methods. Here, we present a new reduction method for SIP, where the multi-local optimization is carried out with a stretched simulated annealing algorithm, the reduced (finite) problem is approximately solved by a Newton’s primal–dual interior point method that uses a novel twodimensional filter line search strategy to guarantee the convergence to a KKT point that is a minimizer, and the global convergence of the overall reduction method is promoted through the implementation of a classical two-dimensional filter line search. Numerical experiments with a set of well-known problems are shown.por
dc.identifier.citationPereira, Ana I.; Costa, M. Fernanda; P.; Fernandes, Edite M.G.P. (2011). Interior point filter method for semi-infinite programming problems. Optimization. ISSN 0233-1934. 60:10-11, p. 1309-1338.por
dc.identifier.doi10.1080/02331934.2011.616894
dc.identifier.urihttp://hdl.handle.net/10198/7531
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherTaylor & Francispor
dc.subjectNonlinear optimizationpor
dc.subjectSemi-infinite programmingpor
dc.subjectInterior point methodpor
dc.subjectFilter methodpor
dc.subjectLine search techniquepor
dc.titleInterior point filter method for semi-infinite programming problemspor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1338por
oaire.citation.startPage1309por
oaire.citation.titleOptimizationpor
person.familyNamePereira
person.givenNameAna I.
person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.orcid0000-0003-3803-2043
person.identifier.ridF-3168-2010
person.identifier.scopus-author-id15071961600
rcaap.rightsopenAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublicatione9981d62-2a2b-4fef-b75e-c2a14b0e7846
relation.isAuthorOfPublication.latestForDiscoverye9981d62-2a2b-4fef-b75e-c2a14b0e7846

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