Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/12909

TitleAn augmented lagrangian fish swarm based method for global optimization
Author(s)Rocha, Ana Maria A. C.
Martins, Tiago F. M. C.
Fernandes, Edite Manuela da G. P.
KeywordsAugmented Lagrangian function
Artificial fish swarm
Stochastic convergence
Issue dateJun-2011
PublisherElsevier Science
JournalJournal of Computational and Applied Mathematics
Abstract(s)This paper presents an augmented Lagrangian methodology with a stochastic population based algorithm for solving nonlinear constrained global optimization problems. The method approximately solves a sequence of simple bound global optimization subproblems using a fish swarm intelligent algorithm. A stochastic convergence analysis of the fish swarm iterative process is included. Numerical results with a benchmark set of problems are shown, including a comparison with other stochastic-type algorithms.
TypeArticle
URIhttp://hdl.handle.net/1822/12909
DOI10.1016/j.cam.2010.04.020
ISSN0377-0427
Publisher versionhttp://www.sciencedirect.com/
Peer-Reviewedyes
AccessOpen access
Appears in Collections:LES/ALG - Artigos em revistas científicas internacionais com arbitragem

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