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TitleDistribution based artificial fish swarm in continuous global optimization
Author(s)Rocha, Ana Maria A. C.
Costa, M. Fernanda P.
Fernandes, Edite Manuela da G. P.
KeywordsGlobal optimization
Artificial fish swarm
Gaussian distribution
Local search
Issue date2013
PublisherInstituto Politécnico de Bragança
CitationAna Maria A.C. Rocha, M. Fernanda P. Costa, Edite M.G.P. Fernandes, Distribution based artificial fish swarm in continuous global optimization, Atas do XVI Congresso da Associação Portuguesa de Investigação Operacional, Oliveira, José F.; Vaz, Clara B. (Eds.), Instituto Politécnico de Bragança, p. 306-312, 2013.
Abstract(s)Distribution based artificial fish swarm (DbAFS) is a new heuristic for continuous global optimization. Based on the artificial fish swarm paradigm, the new algorithm generates trial points from the Gaussian distribution, where the mean is the midpoint between the current and the target point and the standard deviation is the difference between those two points. A local search procedure is incorporated into the algorithm aiming to improve the quality of the solutions. The performance of the proposed DbAFS is investigated using a set of small bound constrained optimization problems.
TypeConference paper
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings
CMAT - Artigos em atas de conferências e capítulos de livros com arbitragem / Papers in proceedings of conferences and book chapters with peer review

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