Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/9672

TitleA modified electromagnetism-like algorithm based on a pattern search method
Author(s)Rocha, Ana Maria A. C.
Fernandes, Edite Manuela da G. P.
KeywordsGlobal optimization
Electromagnetism-like algorithm
Pattern search method
Issue date2009
PublisherSpringer Verlag
JournalLecture Notes in Electrical Engineering
CitationMASTORAKIS, Nikos ; MLADENOV, Valeri ; KONTARGYRI, Vassiliki, T., ed. lit. – “European Computing Conference : proceedings”. [S.l.] : Springer, 2009. ISBN 978-0-387-84818-1. vol. 2, pt.9, cap. 12, p. 1035-1042.
Abstract(s)The Electromagnetism-like (EM) algorithm, developed by Birbil and Fang [2] is a population-based stochastic global optimization algorithm that uses an attraction-repulsion mechanism to move sample points towards optimality. A typical EM algorithm for solving continuous bound constrained optimization problems performs a local search in order to gather information for a point, in the population. Here, we propose a new local search procedure based on the original pattern search method of Hooke and Jeeves, which is simple to implement and does not require any derivative information. The proposed method is applied to different test problems from the literature and compared with the original EM algorithm.
TypeConference paper
URIhttp://hdl.handle.net/1822/9672
ISBN978-0-387-84818-1
DOI10.1007/978-0-387-85437-3_15
ISSN1876-1100
Peer-Reviewedyes
AccessOpen access
Appears in Collections:LES/ALG - Textos completos em actas de encontros científicos internacionais com arbitragem

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