基于图形度量的车辆路径控制

Tobias Mömke, Hang Zhou
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引用次数: 4

摘要

研究了图形度量(graphic CVRP)中的有容车辆路径问题。我们的主要贡献是给出了最优解代价的新下界。对于图形度量,这个下界是严格的,并且明显强于一般度量的众所周知的下界。新下界的证明是简单的和组合的。利用这一下界,我们分析了经典迭代游划分算法与TSP算法结合对Christofides[1976]、M\ omke-Svensson [JACM 2016]和Seb\H{o}-Vygen [Combinatorica 2014]的图形度量的近似比。特别是,我们获得了图形CVRP的1.95近似值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Capacitated Vehicle Routing in Graphic Metrics
We study the capacitated vehicle routing problem in graphic metrics (graphic CVRP). Our main contribution is a new lower bound on the cost of an optimal solution. For graphic metrics, this lower bound is tight and significantly stronger than the well-known bound for general metrics. The proof of the new lower bound is simple and combinatorial. Using this lower bound, we analyze the approximation ratio of the classical iterated tour partitioning algorithm combined with the TSP algorithms for graphic metrics of Christofides [1976], of M\"omke-Svensson [JACM 2016], and of Seb\H{o}-Vygen [Combinatorica 2014]. In particular, we obtain a 1.95-approximation for the graphic CVRP.
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