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Bi-criteria Optimization in Integrated Layout Designof Cellular Manufacturing SystemsUsing a Genetic Algorithm

机译:遗传算法蜂窝制造的集成布局设计中的双标准优化

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Traditionally the design of the physical layout of the manufacturing system and that of the material flow path and material handling system are car-ried out in isolation. In this work, an attempt was made on the integrated layout design, that is, to concurrently design the physical layout and the material han-dling system using a Genetic Algorithm-based methodology. The proposed al-gorithm was employed to simultaneously optimize two contradicting objectives viz., 1. Total material handling cost 2. Distance-weighted cost of closeness rat-ing score. The algorithm was tested on four different benchmark layouts and with different initial problem data sets. It was found that the proposed algo-rithm is able to produce satisfactory solutions consistently within a reasonable computational limit.
机译:传统上,制造系统的物理布局的设计和材料流动路径和材料处理系统的设计是孤立的汽车 - 射出。在这项工作中,尝试在集成的布局设计上进行,即使用基于遗传算法的方法同时设计物理布局和材料汉峰系。采用所提出的Al-Gorithm,同时优化两个矛盾的偏差,1.总物质处理成本2.距离加权成本的近距离比得分。该算法在四个不同的基准布局和不同的初始问题数据集中进行了测试。结果发现,所提出的算法能够在合理的计算限制内一致地产生令人满意的解决方案。

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