带时间窗车辆路径问题的禁忌搜索算法性能研究

Pınar Kırcı
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引用次数: 9

摘要

本文研究了谷歌地图上带时间窗的车辆路径问题。谷歌地图除了生成和图解的路线外,还用于显示真实的路线。在交付过程中,除了时间窗口、车辆速度、客户需求和车辆容量等主要因素外,还会检查二氧化碳(Co2)排放率和成本率。在绿色能源领域,减少二氧化碳排放量是一个至关重要的问题。本文采用带禁忌搜索的VRP算法,提出了成本和Co21排放量最小的最佳路径。本文包括一个物流管理公司的应用。以真实场景为例,收集有关土耳其物流的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Performance of Tabu Search Algorithm for the Vehicle Routing Problem with Time Windows
In the paper, vehicle routing problem (VRP) with time windows is examined over google maps. The google maps is used to have real routes, in addition to the routes that are produced and illustrated over graphs. During the delivery process, carbon dioxide (Co2) emission rates and cost rates are examined in addition to main factors, time windows, vehicle speed, customer demands and vehicle capacity. In green energy, diminishing Co2 emission rates is a vital problem. In the paper, the best path is proposed with minimizing the cost and Co21 emissions by using the VRP with Tabu search. The paper includes an application for logistic management companies. Real scenarios are illustrated to collect results about logistics in Turkey.
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