首页> 外文会议>Mexican International Conference on Artificial Intelligence(MICAI 2007); 20071104-10; Aguascalientes(MX) >DiPro: An Algorithm for the Packing in Product Transportation Problems with Multiple Loading and Routing Variants
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DiPro: An Algorithm for the Packing in Product Transportation Problems with Multiple Loading and Routing Variants

机译:DiPro:一种用于解决具有多个装载和工艺路线变体的产品运输问题中的包装的算法

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The present paper approaches the loading distribution of trucks for Product Transportation as a rich problem. This is formulated with the classic Bin Packing Problem and five variants associated with a real case of study. A state of the art review reveals that related work deals with three variants at the most. Besides, they do not consider its relation with the vehicle routing problem. For the solution of this new rich problem a heuristic-deterministic algorithm was developed. It works together with a metaheuristic algorithm to assign routes and loads. The results of solving a set of real world instances show an average saving of three vehicles regarding their manual solution; this last needed 180 minutes in order to solve an instance and the actual methodology takes two minutes. On average, the demand was satisfied in 97.45%. As future work the use of a non deterministic algorithm is intended.
机译:本文提出了用于产品运输的卡车的负载分配作为一个丰富的问题​​。这是用经典的装箱问题和与实际研究案例相关的五个变体来表述的。最新的审查显示,相关工作最多涉及三个变体。此外,他们不考虑其与车辆路径问题的关系。为了解决这个新的丰富问题,开发了一种启发式确定性算法。它与元启发式算法配合使用以分配路线和荷载。解决一组实际实例的结果表明,在手动解决方案方面平均节省了三辆车;最后一次需要180分钟才能解决一个实例,而实际方法需要2分钟。平均而言,需求满足了97.45%。作为未来的工作,打算使用非确定性算法。

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