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

机译:使用pareto局部搜索优化同向旋转双螺杆挤出机

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摘要

A Pareto Local Search (PLS) algorithm was developed and applied tothe screw configuration of co-rotating twin-screw extruders. This problem can beseen as a sequencing problem where a set of different screw elements are to be sequentiallypositioned along the screw in order to maximize the extruder performance.The results obtained were compared with previous results obtained with aMulti-Objective Evolutionary Algorithm (MOEA), which was previously developedby the authors. These results show that the PLS algorithm, despite its conceptualsimplicity, is able to generate screws with good performance.
机译:开发了帕累托局部搜索(PLS)算法,并将其应用于同向旋转双螺杆挤出机的螺杆配置。该问题可以看做是一个排序问题,在该问题中,将一组不同的螺杆元件沿螺杆顺序放置,以最大限度地提高挤出机的性能。将所得结果与以前使用多目标进化算法(MOEA)获得的结果进行比较,是以前由作者开发的。这些结果表明,尽管PLS算法在概念上很简单,但它能够生成性能良好的螺钉。

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