摘要
在对多式联运运输方式选择问题分析的基础上,运用图论技术构建基于多种运输方式的运输网络.综合考虑了运输成本、运输时效性和运输风险,建立了基于综合运输成本最小和运输风险最小的多目标综合优化模型.通过主要目标法,将模型进行转化.设计了基于克隆增扩的人工免疫算法对问题进行求解.最后通过算例验证了模型和算法的有效性.
On the basis of the analysis of selecting the best combination of transportation modes for shipment,the improved intermodal network is designed by using the graph-theory technique. Four important characteristics, i. e. multiple objective, in-time transportation, combined cost and transportation risks are taken consideration,and a multiobjective model is then formulated. Furthermore, the multiobjective model is transformed into a single objective model by using prime objective approach. An immune algorithm is in- troduced on the problem. Finally, a case study is carried out to illustrate the validity of model and approach developed in this paper.
出处
《兰州交通大学学报》
CAS
2010年第1期56-61,共6页
Journal of Lanzhou Jiaotong University
基金
甘肃省自然科学基金(3X051-A25-030)
关键词
多式联运
多目标模型
免疫算法
intermodal
multiobjeetive model
immune algorithm
