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Approximation Algorithms for Cumulative VRP with Stochastic Demands

机译:具有随机需求的累积VRP的近似算法

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In this paper we give randomized approximation algorithms for stochastic cumulative VRPs for split and unsplit deliveries. The approximation ratios are 2(1 + α) and 7 respectively, where α is the approximation ratio for the metric TSP. The approximation factor is further reduced for trees and paths. These results extend the results in [Technical note - approximation algorithms for VRP with stochastic demands. Operations Research, 2012] and [Routing vehicles to minimize fuel consumption. Operations Research Letters, 2013].
机译:在本文中,我们给出了随机累计VRP的随机近似算法,用于拆分和未拆分的交付。近似比率分别为2(1 +α)和7,其中α是度量TSP的近似比率。对于树木和路径,近似因子会进一步降低。这些结果扩展了[技术说明-具有随机需求的VRP近似算法]中的结果。运筹学,2012年]和[将油耗降至最低的路线车辆。运筹学快报,2013年]。

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