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Column Generation Algorithms for the Capacitated m-Ring-Star Problem

机译:容性m环星问题的列生成算法

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In this paper we propose an integer programming formulation for the capacitated m-ring-star problem (CmRSP) based on a set covering model and develop an exact branch-and-price (BP) algorithm to solve it exactly. The CmRSP is a variant of the classical one-depot capacitated vehicle routing problem in which a customer is either on a route or is connected to another customer or to some connection point present in a route. The set of potential connection points and the number m of vehicles are given a priori. Routing and connection costs are also known and the goal is to minimize the sum of routing and connection costs. To our knowledge, the only exact approach for the CmRSP is a branch-and-cut (BC) proposed in [2]. Extensive experimentation reported here shows that our BP algorithm is competitive with the BC algorithm. This performance was achieved after a profound investigation of the alternatives for column generation relaxation and a careful implementation of the pricing algorithm.
机译:在本文中,我们基于集合覆盖模型提出了一个针对容量m环星问题(CmRSP)的整数规划公式,并开发了一种精确的分支价格算法(BP)来精确求解该问题。 CmRSP是经典的一站式载人车辆路径问题的一种变体,其中客户位于路线上或连接到另一位客户或路线中存在的某个连接点。潜在连接点的集合和车辆的数量m是先验的。路由和连接成本也是已知的,并且目标是最小化路由和连接成本的总和。据我们所知,CmRSP的唯一准确方法是在[2]中提出的分支剪切(BC)。此处报告的大量实验表明,我们的BP算法与BC算法相比具有竞争优势。在对列生成松弛的替代方案进行了深入研究并仔细实施了定价算法之后,才实现了这一性能。

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