Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/15249
Título: | Multi-objective ant colony optimization for the twin-screw configuration problem |
Autor(es): | Teixeira, Cristina Covas, J. A. Stützle, Thomas Gaspar-Cunha, A. |
Palavras-chave: | Multi-objective optimization Evolutionary algorithms Twin-screw extrusion Configuration problem multiple objectives ant colony optimization evolutionary algorithms, polymer extrusion twin-screw configuration |
Data: | 2012 |
Editora: | Taylor and Francis |
Revista: | Engineering Optimization |
Resumo(s): | The Twin-Screw Configuration Problem (TSCP) consists in identifying the best location of a set of available screw elements along a screw shaft. Due to its combinatorial nature, it can be seen as a sequencing problem. In addition, different conflicting objectives may have to be considered when defining a screw configuration and, thus, it is usually tackled as a multi-objective optimization problem. In this research, a multi-objective ant colony optimization (MOACO) algorithm was adapted to deal with the TSCP. The influence of different parameters of the MOACO algorithm was studied and its performance was compared with that of a previously proposed multi-objective evolutionary algorithm and a two-phase local search algorithm. The experimental results showed that MOACO algorithms have a significant potential for solving the TSCP. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/15249 |
DOI: | 10.1080/0305215X.2011.639370 |
ISSN: | 0305-215X 1029-0273 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | IPC - Artigos em revistas científicas internacionais com arbitragem |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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submited.pdf | 1,42 MB | Adobe PDF | Ver/Abrir |