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A Two-Phase Extended Great Deluge Algorithm for the Dynamic Layout Problem

机译:动态布局问题的两阶段扩展大洪水算法

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The dynamic layout problem (DLP) deals with the arrangement of manufacturing facilities over time in order to minimize the sum of the material handling and rearrangement costs. This paper presents an efficient algorithm based on the extended great deluge (EGD) to solve this problem. The proposed approach improves the initial EGD algorithm and adapts it to solve the DLP. This approach consists of two phases. The first phase tries to find a very good initial solution, while the second phase improves this solution. Numerical results for 48 test problems from previous research are reported and compared. The solutions found by our approach are very competitive and a great set of the obtained results are better than or are in par with the well-known best solutions.
机译:动态布局问题(DLP)处理一段时间内的制造设施布置,以最大程度地减少物料搬运和重新布置成本的总和。本文提出了一种基于扩展大洪水(EGD)的有效算法来解决此问题。所提出的方法改进了初始EGD算法,并使其适于求解DLP。该方法包括两个阶段。第一阶段尝试找到一个很好的初始解决方案,而第二阶段则改进此解决方案。报告并比较了先前研究中的48个测试问题的数值结果。通过我们的方法发现的解决方案非常有竞争力,并且获得的大量结果都优于或与众所周知的最佳解决方案相提并论。

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