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首页> 外文期刊>International journal of applied decision sciences >Multi-depot vehicle routing problem with cooperative transportation in terminal distribution
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Multi-depot vehicle routing problem with cooperative transportation in terminal distribution

机译:终端分布中的合作运输多仓库车辆路由问题

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摘要

We design a method of cooperative transportation. In this method, the original scattered transportation resources from express distribution point to terminal distribution center are integrated through cooperative transportation. This is a multi-depot vehicle routing problem. Firstly, we transform it into a vehicle routing problem with single-depot, and the branch and bound (B&B) algorithm is improved to solve it. Next, we design greedy algorithm to solve the vehicle routing problem with multi-depot, and get the approximate optimal solution. The B&B algorithm can get accurate results while the computing time of greedy algorithm is shorter. Directly solving the problem can retain the characteristics of the original problem, and the solution can reflect the actual situation better. The transformation reduces the complexity of the problem, but some feasible solutions may be lost.The experimental results show that the efficiency of transportation resource utilisation is improved after optimisation, which is helpful to make more economic transportation decisions.
机译:我们设计一种合作运输方法。在这种方法中,通过合作运输集成了来自Express分布点到终端配送中心的原始分散的运输资源。这是一个多仓库车辆路由问题。首先,我们将其转换为单个仓库的车辆路由问题,并且分支和绑定(B&B)算法改进以解决它。接下来,我们设计贪婪算法以解决多仓库的车辆路由问题,并获得近似最佳解决方案。 B&B算法可以获得准确的结果,而贪婪算法的计算时间较短。直接解决问题可以保留原始问题的特征,解决方案可以更好地反映实际情况。该转变降低了问题的复杂性,但是一些可行的解决方案可能会丢失。实验结果表明,优化后,运输资源利用效率得到改善,这有助于制定更多的经济运输决策。

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