Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/57942

TitleFilter-based DIRECT method for constrained global optimization
Author(s)Costa, M. Fernanda P.
Rocha, Ana Maria A. C.
Fernandes, Edite Manuela da G. P.
KeywordsGlobal optimization
DIRECT algorithm
Filter method
Issue date2018
PublisherSpringer Nature
JournalJournal of Global Optimization
Abstract(s)This paper presents a DIRECT-type method that uses a filter methodology to assure convergence to a feasible and optimal solution of nonsmooth and nonconvex constrained global optimization problems. The filter methodology aims to give priority to the selection of hyperrectangles with feasible center points, followed by those with infeasible and non-dominated center points and finally by those that have infeasible and dominated center points. The convergence properties of the algorithm are analyzed. Preliminary numerical experiments show that the proposed filter-based DIRECT algorithm gives competitive results when compared with other DIRECT-type methods.
TypeArticle
URIhttp://hdl.handle.net/1822/57942
DOI10.1007/s10898-017-0596-8
ISSN0925-5001
e-ISSN1573-2916
Publisher versionhttps://link.springer.com/article/10.1007%2Fs10898-017-0596-8
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals
CMAT - Artigos em revistas com arbitragem / Papers in peer review journals

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