Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/20039

TitleAn artificial fish swarm filter-based Method for constrained global optimization
Author(s)Rocha, Ana Maria A. C.
Costa, M. Fernanda P.
Fernandes, Edite Manuela da G. P.
KeywordsGlobal optimization
Swarm Intelligence
Artificial Fish Swarm
Filter Method
Issue date2012
PublisherSpringer Verlag
JournalLecture Notes in Computer Science
Abstract(s)An artificial fish swarm algorithm based on a filter methodology for trial solutions acceptance is analyzed for general constrained global optimization problems. The new method uses the filter set concept to accept, at each iteration, a population of trial solutions whenever they improve constraint violation or objective function, relative to the current solutions. The preliminary numerical experiments with a wellknown benchmark set of engineering design problems show the effectiveness of the proposed method.
TypeConference paper
DescriptionAna Maria A.C. Rocha, M. Fernanda P. Costa and Edite M.G.P. Fernandes, An Artificial Fish Swarm Filter-Based Method for Constrained Global Optimization, B. Murgante, O. Gervasi, S. Mirsa, N. Nedjah, A.M. Rocha, D. Taniar, B. Apduhan (Eds.), Lecture Notes in Computer Science, Part III, LNCS 7335, pp. 57–71, Springer, Heidelberg, 2012.
URIhttp://hdl.handle.net/1822/20039
ISBN9783642311369
DOI10.1007/978-3-642-31137-6_5
ISSN0302-9743
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CMAT - Artigos em atas de conferências e capítulos de livros com arbitragem / Papers in proceedings of conferences and book chapters with peer review
CAlg - Livros e capítulos de livros/Books and book chapters
LES/ALG - Capítulos de livros

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