随着物流环境的复杂化，物流区域的扩大化，设施定位问题和运输车辆路线安排问题之间的相互影响也越来越大。

With the complicated logistics environment and enlargement of logistics area, the interaction between location allocation problems and vehicle routing problems grow larger.

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多车辆集散货物路线问题是客户可以同时取货和发货，而且客户发货量在路线安排前是不确定的。

This paper studies the multiple vehicle routing problem integrated terminal cargo. In this problem, there is delivery or pick -up and uncertain features in the demands of the clients.

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在分析车辆路径问题(VRP)现有启发式算法的基础上，建立了考虑路线安排的物流配送方案模型，并提出了求解该问题的一种改进遗传算法(IGA)。

Based on the analysis of the existing heuristic algorithm for the vehicle routing problem (VRP), a distribution model relevant to route arrangement was established.

youdao

在分析车辆路径问题(VRP)现有启发式算法的基础上，建立了考虑路线安排的物流配送方案模型，并提出了求解该问题的一种改进遗传算法(IGA)。

Based on the analysis of the existing heuristic algorithm for the vehicle routing problem (VRP), a distribution model relevant to route arrangement was established.

youdao