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New Formulations for the Generalized Traveling Salesman Problem

机译:广义旅行推销员问题的新配方

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The Generalized Traveling Salesman Problem (GTSP) is an extension of the well known Traveling Salesman Problem (TSP). The GTSP is defined on a graph in which the nodes (customers or vertices) are grouped into a given number of clusters (node sets). Solution procedures for the GTSP are generally focused on transforming the problem to the TSP and applying the exact or heuristic solution methods developed for the TSP. There exist a few integer programming formulations for the GTSP some of which are exponential size with respect to number of the nodes. In this paper, we propose two new formulations for the GTSP with polynomial size with respect to number of the nodes. For preliminary computational analysis, GTSP instances from TSPLIB are solved by proposed formulations and also by the previously existing formulations in the literature. Performances of the formulations in terms of linear programming relaxations and CPU times are analyzed. We observe that, performances of the proposed formulations are better than the existing formulations in terms of these two evaluation criteria.
机译:广义旅行推销员问题(GTSP)是众所周知的旅行推销员问题(TSP)的延伸。 GTSP在其中将节点(客户或顶点)分组成给定数量的群集(节点集)的图中定义。 GTSP的解决方案程序通常集中在将问题转换为TSP并应用为TSP开发的精确或启发式解决方法。对于GTSP的一些整数编程配方,其中一些是关于节点的数量的指数大小。在本文中,我们提出了相对于节点数量的多项式的GTSP新配方。对于初步计算分析,来自TSPLIB的GTSP实例通过所提出的制剂解决,并且还由文献中的先前现有的制剂解决。分析了在线性编程放松和CPU时间方面的配方的性能。我们观察到,就这两个评价标准而言,所提出的配方的性能优于现有的制剂。

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