摘要
在传统蚁群算法的基础上,提出了二维蚁群算法,将路径选择和货物集散点配置在物流网络优化中融合在一起,利用物流服务规模及分布的统计特征,建立物流服务资源统计优化决策模型。仿真实验表明,在物流网络优化中,该模型不仅具有较好的优化效果,而且具有较高的优化效率。
In this paper, on the basis of the traditional ant colony algorithm, we proposed a 2D ant colony algorithm, integrated route selection and cargo dispatching points into the optimization of the logistics network and, taking advantage of the statistical property of the logistics services with respect to scale and distribution, established the optimal decision-making model of logistics service resource statistics. The result of a simulation experiment indicated that the model is of good effect and rather high optimization efficiency.
出处
《物流技术》
北大核心
2013年第12期160-162,共3页
Logistics Technology
基金
河北省社会科学基金项目(HB12GL059)
关键词
二维蚁群算法
物流服务
资源配置
物流网络
统计优化
2D ant colony algorithm
logistics service
resource allocation
logistics network
statistical optimization
