Optimization of Co-rotating twin-screw extruders using pareto local search
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...
Main Author: | |
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Other Authors: | , , |
Format: | conferencePaper |
Language: | eng |
Published: |
2010
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Subjects: | |
Online Access: | http://hdl.handle.net/1822/18568 |
Country: | Portugal |
Oai: | oai:repositorium.sdum.uminho.pt:1822/18568 |
Summary: | 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. |
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