A case study of the profit-maximizing multi-vehicle pickup and delivery selection problem for the road networks with the integratable nodes

Aolong Zha, Qi Chang, Naoto Imura, K. Nishinari
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Abstract

This paper is a study of an application-based model in profit-maximizing multi-vehicle pickup and delivery selection problem (PPDSP). The graph-theoretic model proposed by existing studies of PPDSP is based on transport requests to define the corresponding nodes (i.e., each request corresponds to a pickup node and a delivery node). In practice, however, there are probably multiple requests coming from or going to an identical location. Considering the road networks with the integratable nodes as above, we define a new model based on the integrated nodes for the corresponding PPDSP and propose a novel mixed-integer formulation. In comparative experiments with the existing formulation, as the number of integratable nodes increases, our method has a clear advantage in terms of the number of variables as well as the number of constraints required in the generated instances, and the accuracy of the optimized solution obtained within a given time.
具有可积节点的道路网络中利润最大化的多车辆取货选择问题
研究了基于应用程序的利润最大化多车取货选择问题(PPDSP)。现有的PPDSP研究提出的图论模型是基于传输请求来定义相应的节点(即每个请求对应一个拾取节点和一个交付节点)。然而,在实践中,可能有多个请求来自或前往相同的位置。针对上述具有可积节点的道路网络,我们为相应的PPDSP定义了基于可积节点的新模型,并提出了一种新的混合整数公式。在与现有公式的对比实验中,随着可积节点数量的增加,我们的方法在生成实例所需的变量数量和约束数量以及给定时间内获得的优化解的准确性方面具有明显的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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