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Vehicle Routing Problem with Time Windows, Part Ⅰ: Route Construction and Local Search Algorithms

机译:带时间窗的车辆路径问题,第一部分:路径构造和局部搜索算法

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This paper presents a survey of the research on the vehicle routing problem with time windows (VRPTW). The VRPTW can be described as the problem of designing least cost routes from one depot to a set of geographically scattered points. The routes must be designed in such a way that each point is visited only once by exactly one vehicle within a given time interval, all routes start and end at the depot, and the total demands of all points on one particular route must not exceed the capacity of the vehicle. Both traditional heuristic route construction methods and recent local search algorithms are examined. The basic features of each method are described, and experimental results for Solomon's benchmark test problems are presented and analyzed. Moreover, we discuss how heuristic methods should be evaluated and propose using the concept of Pareto optimality in the comparison of different heuristic approaches. The metaheuristic methods are described in the second part of this article.
机译:本文对带有时间窗的车辆路径问题(VRPTW)进行了研究综述。 VRPTW可以描述为设计从一个仓库到一组地理位置分散的地点的成本最低的路线的问题。路线的设计方式必须是:在给定的时间间隔内,只有一个车辆只能对每个点进行一次访问,所有路线的起点和终点均在车场内,一条路线上所有点的总需求不得超过车辆的容量。传统的启发式路线建设方法和最近的本地搜索算法都进行了审查。描述了每种方法的基本特征,并介绍和分析了所罗门基准测试问题的实验结果。此外,我们讨论了应如何评估启发式方法,并在比较不同启发式方法时使用帕累托最优的概念提出建议。元启发式方法在本文的第二部分中进行了描述。

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