基于蚁群聚类算法的物流中心选址研究
【摘要】随着世界经济的发展，物流业已经从一个新兴的行业发展成为一个规模庞大的产业。物流中心的选址在整个物流中心的规划设计中占有重要的战略地位，一个好的物流中心能够大大提高企业的经济效益。论文首先介绍了物流中心的概念，阐述了物流中心选址的意义以及影响因素，分析比较了现有的物流中心选址方法，并且提出了包含多个供货点和配送点的物流中心选址模型，将选址问题分为供货和配送两个阶段，在其中分别运用蚁群聚类算法，实现了整个问题的最优化。
【关键词】物流中心；选址模型；蚁群聚类算法
【Abstract】With the development of world economy, Logistics industry has grown from a new industry into a large-scale industry. Logistic Center Location plays an important strategic part in the planning of the whole Logistic Center. A good logistics center can greatly enhance the economic efficiency of enterprises. This paper firstly introduces the concept of Logistic Center, explains the significance of logistics center location and the factors, compares the existing methods for Logistic Center Location, and proposes a logistics center location model with multiple supply points and distribution points, divides the location problem into two stages, supply and distribution. Apply the ant colony clustering algorithm into these two stages,and finally achieves the optimization.
【Key words】Logistic Center,Location Model,Ant Colony Clustering Algorithm
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