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Formulations and algorithms for the Pickup and Delivery Traveling Salesman Problem with Multiple Stacks

机译:具有多个堆栈的提货和送货旅行业务员问题的公式和算法

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In the Pickup and Delivery Traveling Salesman Problem with Multiple Stacks, one vehicle must fulfill a set of pickup and delivery requests. While being transported, items are stored in stacks with limited capacity. Each stack must follow the Last-In-First-Out policy. The objective of the problem is to find a vehicle route that fulfills all requests and minimizes traveled distance. In this paper, we propose new integer programming formulations to the problem along with ad hoc branch-and-cut algorithms and valid inequalities. The formulations and algorithms are applied to benchmark instances and the computational results are compared with the literature. Instances for which an optimal solution was previously known in the literature are solved more efficiently in this work. Also, new optimality certificates are provided for seven instances. (C) 2018 Elsevier Ltd. All rights reserved.
机译:在多栈取件和运送旅行商问题中,一辆车必须满足一组取件和运送请求。在运输时,物品以有限的容量存储在堆叠中。每个堆栈必须遵循后进先出策略。该问题的目的是找到一种满足所有要求并最小化行驶距离的车辆路线。在本文中,我们针对该问题提出了新的整数规划公式,以及特设的分支剪切算法和有效不等式。将该公式和算法应用于基准实例,并将计算结果与文献进行比较。在这项工作中,可以更有效地解决以前在文献中已知最佳解决方案的实例。另外,为七个实例提供了新的最佳性证书。 (C)2018 Elsevier Ltd.保留所有权利。

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