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首页> 外文期刊>Procedia - Social and Behavioral Sciences >Hierarchical Traffic Network for Heuristic Approximation Method of Vehicle Routing Problems
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Hierarchical Traffic Network for Heuristic Approximation Method of Vehicle Routing Problems

机译:车辆路径问题的启发式逼近的分层交通网络。

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摘要

In actual society, accurate delivery planning that can deal with both large scale customers and dynamically fluctuating traffic conditions are expected. Therefore, such delivery planning needs a high performance calculation method for approximate solutions that calculates many approximate solutions to deal with various delivery conditions in a short time. For this reason, we propose an approximate solution calculation method for vehicle routing problems (VRPs) that obtains a better solution in a shorter time. The proposed method generates an approximate solution by using a hierarchical traffic network composed on the basis of a vehicle's behavior, which is the frequency of using roads. We confirmed that the calculation time of the proposed method depends on the constitution rule of the hierarchical network. In this paper, we describe the composition of a hierarchical network that moves closer to the best approximate solution in a short time.
机译:在现实社会中,期望能够同时应对大规模客户和动态变化的交通状况的准确交付计划。因此,这样的交付计划需要用于近似解的高性能计算方法,该方法计算许多近似解以在短时间内应对各种交付条件。因此,我们提出了一种针对车辆路径问题(VRP)的近似解计算方法,该方法可在较短的时间内获得更好的解。所提出的方法通过使用基于车辆行为(即使用道路的频率)组成的分层交通网络来生成近似解决方案。我们确认,所提出方法的计算时间取决于层次网络的构成规则。在本文中,我们描述了一个层次化网络的组成,该网络在短时间内接近最佳近似解决方案。

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