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arXiv 1609.09253cs.AI
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带禁忌搜索元素的卡车和拖车路径问题的启发式算法

Heuristic with elements of tabu search for Truck and Trailer Routing Problem

National Research University Higher School of Economics(国立研究型大学高等经济学院)

Ivan S. Grechikhin

摘要:

车辆路径问题是物流和运输领域中的一个著名问题,它在现实生活中的许多情况下都会发生,这就解释了这类问题的多样性。这是一个NP难的组合优化问题,几乎不可能找到精确的最优解。在这项工作中,站点相关的卡车和拖车路径问题的硬,软时间窗和分裂的库存被认为是(SDTTRPTWSD)。在这篇文章中,我们开发了一个启发式的禁忌搜索解决SDTTRPTWSD的元素。启发式算法使用邻域的概念,并在搜索过程中访问不可行的解决方案。一个贪婪的启发式构造一个初始解。

英文摘要:

Vehicle Routing Problem is a well-known problem in logistics and transportation, and the variety of such problems is explained by the fact that it occurs in many real-life situations. It is an NP-hard combinatorial optimization problem and finding an exact optimal solution is practically impossible. In this work, Site-Dependent Truck and Trailer Routing Problem with hard and soft Time Windows and Split Deliveries is considered (SDTTRPTWSD). In this article, we develop a heuristic with the elements of Tabu Search for solving SDTTRPTWSD. The heuristic uses the concept of neighborhoods and visits infeasible solutions during the search. A greedy heuristic is applied to construct an initial solution.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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