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A branch-price-and-cut algorithm for the commodity constrained split delivery vehicle routing problem

机译:用于商品受限分批配送车辆路径问题的分支降价算法

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We consider the Commodity constrained Split Delivery Vehicle Routing Problem (C-SDVRP), a routing problem where customers may request multiple commodities. The vehicles can deliver any set of commodities and multiple visits to a customer are allowed only if the customer requests multiple commodities. If the customer is visited more than once, the different vehicles will deliver different sets of commodities. Allowing the splitting of the demand of a customer only for different commodities may be more costly than allowing also the splitting of each individual commodity, but at the same time it is easier to organize and more acceptable to customers. We model the C-SDVRP by means of a set partitioning formulation and present a branch-price-and-cut algorithm. In the pricing phase, the ng-path relaxation of a constrained elementary shortest path problem is solved with a label setting dynamic programming algorithm. Capacity cuts are added in order to strengthen the lower bound. We solve to optimality within 2 h instances with up to 40 customers and 3 commodities per customer. (C) 2015 Elsevier Ltd. All rights reserved.
机译:我们考虑商品约束的分割送货车路线问题(C-SDVRP),这是顾客可能需要多个商品的路线问题。车辆可以交付任何一组商品,并且仅当客户请求多个商品时才允许对客户的多次访问。如果不止一次拜访客户,则不同的车辆将交付不同的商品集。仅允许将客户的需求划分为不同商品可能比允许每个商品的划分成本更高,但是与此同时,组织起来更容易并且更容易为客户所接受。我们通过集合划分公式对C-SDVRP进行建模,并提出了一种分支价格削减的算法。在定价阶段,使用标签设置动态规划算法解决约束的最短路径问题的ng路径松弛。增加了产能削减以加强下限。我们在2小时内解决多达40个客户和每个客户3种商品的最优性问题。 (C)2015 Elsevier Ltd.保留所有权利。

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