基于KMeans聚类的时间窗约束车辆路径问题

Jai Keerthy Chowlur Revanna, Nushwan Yousif B.Al-Nakash
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引用次数: 8

摘要

本文的问题描述是利用k均值聚类的蚁群算法求解具有时间窗约束的车辆路径问题。在这个问题中,车辆必须从一个共同的仓库出发,从各个仓库取货,在客户定义的时间窗口内送到各自的节点,然后返回仓库。确定的目标是减少车辆数量,总物流成本和减少碳排放。本文所描述的数学模型考虑了多个取件点和多个投递点。本文提出的解决方案旨在提供更好,更有效的解决方案,同时最小化冲突区域,从而在大规模上提供最佳输出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vehicle Routing Problem with Time Window Constrain using KMeans Clustering to Obtain the Closest Customer
In this paper, the problem statement is solving the Vehicle Routing Problem with Time Window constraint using the Ant Colony Algorithm with K-Means Clustering. In this problem, the vehicles must start at a common depot, pickup from various warehouses, deliver to the respective nodes within the time window defined by the customer and return back to the depot.The objectives defined are to reduce number of vehicles employed, the total logistics cost and to reduce carbon emissions. The mathematical model described in this paper has considered multiple pickup and multiple delivery points. The proposed solution of this paper aims to provide better and more efficient solution while minimizing areas of conflict so as to provide the best output on a large scale.
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