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Optimization of Co-rotating twin-screw extruders using pareto local search

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Detalhes bibliográficos
Resumo:A Pareto Local Search (PLS) algorithm was developed and applied to the screw configuration of co-rotating twin-screw extruders. This problem can be seen as a sequencing problem where a set of different screw elements are to be sequentially positioned along the screw in order to maximize the extruder performance. The results obtained were compared with previous results obtained with a Multi-Objective Evolutionary Algorithm (MOEA), which was previously developed by the authors. These results show that the PLS algorithm, despite its conceptual simplicity, is able to generate screws with good performance.
Autores principais:Teixeira, Cristina
Outros Autores:Covas, J. A.; Stützle, Thomas; Gaspar-Cunha, A.
Ano:2010
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso aberto
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
Descrição
Resumo:A Pareto Local Search (PLS) algorithm was developed and applied to the screw configuration of co-rotating twin-screw extruders. This problem can be seen as a sequencing problem where a set of different screw elements are to be sequentially positioned along the screw in order to maximize the extruder performance. The results obtained were compared with previous results obtained with a Multi-Objective Evolutionary Algorithm (MOEA), which was previously developed by the authors. These results show that the PLS algorithm, despite its conceptual simplicity, is able to generate screws with good performance.