Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/14478
Título: | Novel fish swarm heuristics for bound constrained global optimization problems |
Autor(es): | Rocha, Ana Maria A. C. Fernandes, Edite Manuela da G. P. Martins, Tiago F. M. C. |
Palavras-chave: | Global optimization Derivative-free method Swarm intelligence Heuristics |
Data: | 18-Nov-2011 |
Editora: | Springer |
Revista: | Lecture Notes in Computer Science |
Resumo(s): | The heuristics herein presented are modified versions of the artificial fish swarm algorithm for global optimization. The new ideas aim to improve solution accuracy and reduce computational costs, in particular the number of function evaluations. The modifications also focus on special point movements, such as the random, search and the leap movements. A local search is applied to refine promising regions. An extension to bound constrained problems is also presented. To assess the performance of the two proposed heuristics, we use the performance profiles as proposed by Dolan and More in 2002. A comparison with three stochastic methods from the literature is included. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/14478 |
ISBN: | 9783642219306 |
DOI: | 10.1007/978-3-642-21931-3_16 |
ISSN: | 0302-9743 |
Versão da editora: | www.springerlink.com |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | LES/ALG - Artigos em revistas científicas internacionais com arbitragem |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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AFSmodified_ICCSA.pdf | 391,21 kB | Adobe PDF | Ver/Abrir |