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The undirected capacitated arc routing problem with profits

机译:有利润的无向电容弧布线问题

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A profit and a demand are associated with each edge of a set of profitable edges of a given graph. A travel time is associated with each edge of the graph. A fleet of capacitated vehicles is given to serve the profitable edges. A maximum duration of the route of each vehicle is also given. The profit of an edge can be collected by one vehicle only that also serves the demand of the edge. The objective of this problem, which is called the undirected capacitated arc routing problem with profits (UCARPP), is to find a set of routes that satisfy the constraints on the duration of the route and on the capacity of the vehicle and maximize the total collected profit. We propose a branch-and-price algorithm and several heuristics. We can solve exactly instances with up to 97 profitable edges. The best heuristics find the optimal solution on most of instances where it is available.
机译:利润和需求与给定图的一组获利边缘的每个边缘相关。行程时间与图表的每个边缘相关联。配备了一支载重车辆,以服务于获利的边缘。还给出了每个车辆路线的最大持续时间。边缘的利润只能由一辆同时满足边缘需求的车辆收集。此问题的目的是找到一组满足路线持续时间和车辆容量限制的路线,以最大程度地收集收益,这就是所谓的带利润的无向功能性电弧引弧问题(UCARPP)。利润。我们提出了一种分支定价算法和几种启发式算法。我们可以精确地解决具有97个获利优势的实例。最好的启发式方法可以在大多数可用的情况下找到最佳解决方案。

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