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Dominance rules for the optimal placement of a finite-size facility in an existing layout

机译:在现有布局中最佳放置有限大小设施的优势规则

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In this paper, we consider the problem of optimal placement of a single finite-size, rectangular facility in the presence of other rectangular facilities. There is a non-negative interaction between the new and existing facilities as well as pairs of existing facilities. All interactions are serviced through a finite number of input/output points located on the boundary of each facility. We assume that the travel occurs according to the rectilinear metric and the travel through the facilities is not permitted. It has been established in the previous works that the optimal placement of the new facility belongs to a finite set of candidate points, whose cardinality is polynomially bounded in the number of existing facilities. The optimal placement of the new facility can be found by evaluating the objective function value at each and every candidate point. This explicit enumeration guarantees the optimal solution, however it might become time consuming for a large number of existing facilities. We propose a new procedure based on the lower bounding technique, which can effectively cut down the number of candidate points that need to be evaluated, resulting in significant reduction in the computing time. The procedure was tested on a large number of randomly generated layouts with varying congestion factors (ratio of area occupied by the existing facilities to the total layout area). These extensive numerical tests reveal that, for a moderately congested layout, there is more than 70% reduction in both the number of evaluated candidates and the computing time. (C) 2014 Elsevier Ltd. All rights reserved.
机译:在本文中,我们考虑在存在其他矩形设施的情况下单个有限大小的矩形设施的最佳放置问题。新设施和现有设施以及成对的现有设施之间存在非负交互作用。通过位于每个设施边界上的有限数量的输入/输出点为所有交互提供服务。我们假设行程是根据直线度量发生的,并且不允许通过设施的行程。在先前的工作中已经确定,新设施的最佳位置属于一组有限的候选点,其基数在现有设施的数量上呈多项式限制。通过评估每个候选点的目标函数值,可以找到新设施的最佳位置。这种明确的枚举可确保获得最佳解决方案,但是对于大量现有设施而言,这可能会变得很耗时。我们提出了一种基于下界技术的新程序,该程序可以有效地减少需要评估的候选点的数量,从而显着减少计算时间。该程序在拥挤因子(现有设施所占面积与总布局面积之比)变化的大量随机生成的布局上进行了测试。这些广泛的数值测试表明,对于中等拥挤的布局,所评估的候选数和计算时间均减少了70%以上。 (C)2014 Elsevier Ltd.保留所有权利。

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