Utilize este identificador para referenciar este registo: http://hdl.handle.net/10198/8621
Título: A derivative-free filter driven multistart technique for global optimization
Autor: Fernandes, Florbela P.
Costa, M. Fernanda P.
Fernandes, Edite M.G.P.
Palavras-chave: Global optimization
Multistart,
Descent direction
Filter method
Data: 2012
Editora: Springer
Citação: Fernandes, Florbela P.; Costa, M. Fernanda P.; Fernandes, Edite M.G.P. (2012) - A derivative-free filter driven multistart technique for global optimization. In Murgante, Beniamino (Eds.) [et al.] Computational Science and its Applications - ICCSA 2012, Part III, 7335. Berlin: Springer-Verlag. p. 103–118. ISBN 978-3-642-31137-6
Resumo: A 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.
Peer review: yes
URI: http://hdl.handle.net/10198/8621
ISBN: 978-3-642-31137-6
Versão do Editor: http://www.springer.com/computer/communication+networks/book/978-3-642-31136-9
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