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Solving school bus routing using the multiple vehicle traveling purchaser problem: A branch-and-cut approach

机译:使用多车旅行购买者问题解决校车路线:分支切入法

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School bus routing problems, combining bus stop selection and bus route generation, look simultaneously for a set of bus stops to pick up students from among a group of potential locations, and for bus routes to visit the selected stops and carry the students to their school. These problems, classified as Location-Routing problems, are of interest in densely populated urban areas.This article introduces a generalization of the vehicle routing problem called the multi-vehicle traveling purchaser problem, modeling a family of routing problems combining stop selection and bus route generation. It discusses a Mixed Integer Programming formulation extending previous studies on the classical single vehicle traveling purchaser problem. The proposed model is based on a single commodity flow formulation combining continuous variables with binary variables by means of coupling constraints. Additional valid inequalities are proposed with the purpose of strengthening its Linear Programming relaxation. These valid inequalities are obtained by projecting out the flow variables.We develop a branch-and-cut algorithm that makes use of the proposed model and valid inequalities. This cutting plane algorithm is implemented and tested on a large family of symmetric and asymmetric instances derived from randomly generated problems, showing the usefulness of the proposed valid inequalities.
机译:校车路线问题,结合了公交车站的选择和公交路线的产生,同时寻找一组公交车站,以从一组潜在的地点中接学生,并寻找公交路线访问选定的车站并将学生带到学校。这些问题被归类为位置路由问题,在人口稠密的城市地区引起了人们的兴趣。本文介绍了称为多车旅行购买者问题的车辆路由问题的一般化,并结合了停车选择和公交路线对一系列路由问题进行建模代。它讨论了混合整数编程公式,该公式扩展了以前对经典单车旅行购买者问题的研究。所提出的模型基于单个商品流公式,通过耦合约束将连续变量与二元变量组合在一起。为了增强线性规划松弛,提出了其他有效不等式。这些有效的不等式是通过对流量变量进行投影而获得的。我们利用所提出的模型和有效的不等式,开发了一种分支剪切算法。此切割平面算法是在从随机生成的问题派生的一大类对称和非对称实例上实现和测试的,显示了所提出的有效不等式的有用性。

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