Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/63760
Título: | Genetic algorithm and particle swarm optimization combined with Powell method |
Autor(es): | Bento, David Pinho, Diana Pereira, Ana I. Lima, Rui Alberto Madeira Macedo |
Palavras-chave: | Genetic Algorithm Global Optimization Local Optimization |
Data: | 2013 |
Editora: | AIP Publishing |
Revista: | AIP Conference Proceedings |
Resumo(s): | In recent years, the population algorithms are becoming increasingly robust and easy to use, based on Darwin's Theory of Evolution, perform a search for the best solution around a population that will progress according to several generations. This paper present variants of hybrid genetic algorithm - Genetic Algorithm and a bio-inspired hybrid algorithm - Particle Swarm Optimization, both combined with the local method - Powell Method. The developed methods were tested with twelve test functions from unconstrained optimization context. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/63760 |
ISBN: | 9780735411845 |
DOI: | 10.1063/1.4825557 |
ISSN: | 0094-243X |
e-ISSN: | 1551-7616 |
Versão da editora: | https://aip.scitation.org/doi/abs/10.1063/1.4825557 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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1.4825557.pdf | 192,64 kB | Adobe PDF | Ver/Abrir |