粒子群算法在物流配送问题中的应用
【摘要】
物流配送中的车辆路径问题已成为了物流配送优化的核心问题。据相关资料显示，物流配送过程的成本构成中，运输成本占到 52%以上。如何在满足客户需求的前提下，将配送的运输成本合理地降低，成为一个紧迫而重要的研究课题。车辆路径问题的研究，不仅可以帮助运输企业提高服务水平，为顾客提供快捷、准时、安全、舒适的服务，而且有助于企业节约运输成本，改善车辆利用效率，缩短生产周期，加速资金周转，实现资源的合理配置，对资源节约和环境的保护都有重要意义。本文采用微粒群算法解决实际中的车辆路径问题，实现配送路线进行系统优化，并验证算法有效性。
【关键词】
物流配送；车辆路径问题；微粒群算法
【Abstract】
Vehicle Routing Problem of the distribution has become the core issue of logistics.
According to the relevant data shows that the cost of logistics in the Process transportation
cost is 52%.So,how to meet customer satisfaction in under the Premise of appropriate and
to reduce costs in reasonable is becoming an urgent and important research subject. To
study the issue is not only to help the transportation enterprise improve service levels and
Provide rapid、on time、 safe and comfortable service, and also to help enterprise save
transportation cost, improve vehicle efficiency, shorten the production cycle, accelerate the
capital turnover, realize the rational allocation of resources and have important significance
for resource conservation and environmental Protection.
In this article, we use Particle Swarm Optimization-PSO to solve the Problem, realizing distribution route system optimization and validation algorithm efficiency.
【Keyword】：Logistics, Distribution , Vehicle Routing Problem ,Particle Swarm Optimization (PSO)
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