Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/57915

TitleOn metaheuristics for solving the parameter estimation problem in dynamic systems: A comparative study
Author(s)Ramadas, Gisela C. V.
Fernandes, Edite Manuela da G. P.
Ramadas, Antonio M. V.
Rocha, Ana Maria A. C.
Costa, M. Fernanda P.
Issue date2018
PublisherHindawi Limited
JournalJournal of Optimization
Abstract(s)This paper presents an experimental study that aims to compare the practical performance of well-known metaheuristics for solving the parameter estimation problem in a dynamic systems context. The metaheuristics produce good quality approximations to the global solution of a finite small-dimensional nonlinear programming problem that emerges from the application of the sequential numerical direct method to the parameter estimation problem. Using statistical hypotheses testing, significant differences in the performance of the metaheuristics, in terms of the average objective function values and average CPU time, are determined. Furthermore, the best obtained solutions are graphically compared in relative terms by means of the performance profiles. The numerical comparisons with other results in the literature show that the tested metaheuristics are effective in achieving good quality solutions with a reduced computational effort.
TypeArticle
URIhttp://hdl.handle.net/1822/57915
DOI10.1155/2018/3213484
ISSN2356-752X
e-ISSN2314-6486
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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