摘要
采用节点拆分的方式构建了既有繁忙干线货运产品网络,在此基础上按运输需求的特征对其分类并借鉴服务网络设计的思想,设计了既有繁忙干线铁路货运产品布局优化模型,采用免疫克隆变邻域搜索算法对模型进行求解,最后采用算例对模型和算法进行验证分析,测试结果表明模型和算法具有较好的适用性.
In this paper, the service network of railway cargo products is built by using the way of node splitting, and the transportation demand is classified by the demand characteristics. Based on the idea of service network design, after the model of optimized layout of cargo products is built, it is solved with the immune clone-variable neighborhood algorithm. A numerical example is given to verify the model and algorithm. The results show that the model and algorithm are of good practical applicability.
出处
《北京交通大学学报》
CAS
CSCD
北大核心
2013年第6期91-98,共8页
JOURNAL OF BEIJING JIAOTONG UNIVERSITY
基金
国家"973"项目资助(2012CB725403)
铁道部科技研究开发计划项目资助(2012X006-C)
中国铁路总公司科研项目资助(2013X005-A)
科技部"科技支撑"项目资助(2011BAG01B02-1)
关键词
铁路货物运输
既有繁忙干线
货运产品
免疫克隆-变邻域搜索算法
railway freight traffic
existing busy main line
cargo products
immune clone-variable neighborhood algorithm