物流配送车辆路径的优化方法分析

随着经济全球化的不断发展，各区域的经济交流不断加强，物流行业迅速发展起来，同时配送成本在物流行业发展过程中显得越来越重要。物流企业要想在激烈的社会竞争中不被淘汰，就必须考虑如何降低随着社会结构改变而出现复杂化的物流配送成本，不断提高自身的综合竞争力。文中主要介绍了有关计算和改进物流配送车辆路径优化方面的问题，着重论述了对蚁群算法在降低物流配送成本，以及物流配送车辆在路径优化上中的应用，从而选择出对配送车辆路径进行最好的优化的方法。

Analysis on Optimizing Methods of Logistics Distribution Vehicles Routing Problem

With the continuing development of economic globalization and increasingly closer link between regional economies, the logistics industry grows with a high speed. The cost on distribution is thus, being attached more and more attention in the development of logistics industry. The issues on how to reduce the more complicated cost of distribution as the social structure is undertaking profound changes and how to improve their overall strength must be taken into account by the logistics enterprises in order not to be eliminated in the fierce competition. The paper introduced algorithms and methods for optimizing logistics distribution vehicles routing problem. Ant Colony Algorithm （ACA） was given particular attention to illustrate its role in reducing distribution cost and optimizing the routing problem so as to select the best method for the routing of distribution vehicles.