Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/20755

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dc.contributor.authorFernandes, Florbela P.-
dc.contributor.authorCosta, M. Fernanda P.-
dc.contributor.authorFernandes, Edite Manuela da G. P.-
dc.date.accessioned2012-11-08T18:34:18Z-
dc.date.available2012-11-08T18:34:18Z-
dc.date.issued2012-
dc.identifier.isbn978-3-642-31136-9-
dc.identifier.issn0302-9743por
dc.identifier.urihttps://hdl.handle.net/1822/20755-
dc.description.abstractA stochastic global optimization method based on a multistart strategy and a derivative-free filter local search for general constrained optimization is presented and analyzed. In the local search procedure, approximate descent directions for the constraint violation or the objective function are used to progress towards the optimal solution. The algorithm is able to locate all the local minima, and consequently, the global minimum of a multi-modal objective function. The performance of the multistart method is analyzed with a set of benchmark problems and a comparison is made with other methods.por
dc.description.sponsorshipThis work was financed by FEDER funds through COMPETE-Programa Operacional Fatores de Competitividade and by portuguese funds through FCT-Fundação para a Ciência e a Tecnologia within projects PEst-C/MAT/UI0013/2011 and FCOMP- 01-0124-FEDER-022674.por
dc.language.isoengpor
dc.publisherSpringer Verlagpor
dc.rightsopenAccesspor
dc.subjectGlobal optimizationpor
dc.subjectMultistartpor
dc.subjectDescent directionpor
dc.subjectFilter Methodpor
dc.titleA derivative-free filter driven multistart technique for global optimizationpor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.relation.publisherversionhttp://www.springer.com/computer/communication+networks/book/978-3-642-31136-9por
sdum.publicationstatuspublishedpor
oaire.citationStartPage103por
oaire.citationEndPage118por
oaire.citationIssuePART 3por
oaire.citationConferencePlaceICCSA 2012por
oaire.citationTitleLecture Notes in Computing Sciencepor
oaire.citationVolume7335por
dc.identifier.doi10.1007/978-3-642-31137-6_8por
dc.subject.wosScience & Technologypor
sdum.journalLecture Notes in Computer Sciencepor
sdum.conferencePublicationLecture Notes in Computing Sciencepor
Aparece nas coleções:CMAT - Artigos em atas de conferências e capítulos de livros com arbitragem / Papers in proceedings of conferences and book chapters with peer review
LES/ALG - Textos completos em actas de encontros científicos internacionais com arbitragem

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ICCSA-Final.pdfFlorbela P. Fernandes, M. Fernanda P. Costa, Edite M. G. P. Fernandes, A Derivative-Free Filter Driven Multistart Technique for Global Optimization, B. Murgante et al. (Eds.), Lecture Notes in Computing Science, Part III, LNCS 7335, pp. 103–118,Springer-Verlag Berlin Heidelberg 2012301,98 kBAdobe PDFVer/Abrir

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