Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/20039
Título: | An artificial fish swarm filter-based Method for constrained global optimization |
Autor(es): | Rocha, Ana Maria A. C. Costa, M. Fernanda P. Fernandes, Edite Manuela da G. P. |
Palavras-chave: | Global optimization Swarm Intelligence Artificial Fish Swarm Filter Method |
Data: | 2012 |
Editora: | Springer Verlag |
Revista: | Lecture Notes in Computer Science |
Resumo(s): | An artificial fish swarm algorithm based on a filter methodology for trial solutions acceptance is analyzed for general constrained global optimization problems. The new method uses the filter set concept to accept, at each iteration, a population of trial solutions whenever they improve constraint violation or objective function, relative to the current solutions. The preliminary numerical experiments with a wellknown benchmark set of engineering design problems show the effectiveness of the proposed method. |
Tipo: | Artigo em ata de conferência |
Descrição: | Ana Maria A.C. Rocha, M. Fernanda P. Costa and Edite M.G.P. Fernandes, An Artificial Fish Swarm Filter-Based Method for Constrained Global Optimization, B. Murgante, O. Gervasi, S. Mirsa, N. Nedjah, A.M. Rocha, D. Taniar, B. Apduhan (Eds.), Lecture Notes in Computer Science, Part III, LNCS 7335, pp. 57–71, Springer, Heidelberg, 2012. |
URI: | https://hdl.handle.net/1822/20039 |
ISBN: | 9783642311369 |
DOI: | 10.1007/978-3-642-31137-6_5 |
ISSN: | 0302-9743 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | LES/ALG - Capítulos de livros |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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AFSFilter.pdf | 170,77 kB | Adobe PDF | Ver/Abrir |