Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/9729

TitleNumerical experiments with a population shrinking strategy within an electromagnetism-like algorithm
Author(s)Rocha, Ana Maria A. C.
Fernandes, Edite Manuela da G. P.
KeywordsGlobal optimization
Electromagnetism-like algorithm
Population shrinking
Performance profiles
Issue date2007
Citation"International Journal of Mathematics and Computers in Simulation". ISSN 1998-0159. 1:3 (2007) 238-243.
Abstract(s)This paper extends our previous work done with a modified Electromagnetism-like (EM) algorithm to a benchmark global optimization collection of test problems. The EM algorithm is a population-based stochastic method that uses an attractionrepulsion mechanism to move sample points towards optimality. The modifications include a local search based on the original pattern search method of Hooke and Jeeves and a shrinking strategy that aims to reduce the population size as the iterative process progresses. Performance profiles are used to compare the proposed modifications with the original EM algorithm considering the average number of function evaluations and the best function value.
TypeArticle
URIhttp://hdl.handle.net/1822/9729
ISSN1998-0159
Peer-Reviewedyes
AccessOpen access
Appears in Collections:LES/ALG - Artigos em revistas científicas internacionais com arbitragem

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