摘要
针对计划期间货运需求的波动情况,构建了铁路货物快运服务网络设计鲁棒优化模型。通过对比传统铁路货物快运服务网络设计基础模型,以总运输成本最小为目标,决策内容隐含车流的中转方案和摘挂方案、列车编组计划、运到期限等运输服务约束,采用和声搜索算法对模型求解,循环迭代至获取较优结果。研究结果表明,鲁棒优化模型对运输需求变动的适应性较强,且运到期限增大,总成本减少。
As freight demand is prone to volatility during the planning period, robustness optimization model for freight express service network design was constructed in this paper. By comparing the robustness optimization model with the traditional basis model, and aiming at minimizing total transportation cost, the objective function has the implication of transportation services constraints, such as train transfers and train detaching as well as attaching plan, train marshaling plan, and delivery time, etc. The harmony search algorithm was used in this paper to solve the model with loop iteration to get better results. The results reveal that the robustness optimization model is well accustomed to the change in transportation demand, and it can also postpone freight delivery deadline while the transportation cost is reduced.
出处
《山东科学》
CAS
2017年第3期65-72,87,共9页
Shandong Science
基金
陕西省社会科学基金项目(2016D051)
关键词
货物快运
列车服务网络设计
鲁棒性
和声搜索
freight express
train service network design
robustness
harmony search
