物流交通多式联运低碳运输规划研究  

Multimodal Transportation Planning of Low Carbon Logistics

作　　者：熊桂武[1] 

机构地区：[1]四川外国语大学国别经济与国际商务研究中心,重庆400031

出　　处：《计算机仿真》2016年第6期149-153,222,共6页Computer Simulation

基　　金：国家自然科学基金(71272085);重庆教委人文社科项目(KJ131001)

摘　　要：针对目前物流多式联运运输规划优化中,由于运输时间、运输成本以及碳排放多个目标导致决策难的问题,运用图论方法建立了考虑运输时间、运输成本以及碳排放多个目标的运输优化模型,提出一种正交试验的混合田口遗传算法对该目标进行求解,用三个带有不同时间窗的作业运输任务考查模型和优化算法的有效性。计算结果表明,上述算法能根据用户的需求不同,求解具有综合性能最优的运输方案。加权因子对运输方案的影响规律与实际物流运输相似,充分说明建立的模型及提出的优化算法是可行性的和有效的。To solve the difficult problem of multi - objective optimal of multimodal transportation due to three con- flict objectives including the transportation time, cost and carbon emission, the optimal model of multimodal transpor- tation considering the transportation time, cost and carbon emission was developed according to the method of graph theory. A hybrid Taguchi genetic algorithm was proposed to solve the multi - objective optimal problem. Three differ- ent jobs with different time windows were adopted to check the model and proposed algorithm. The numerical results show that the tradeoff optimal solution can be found with the proposed algorithm to meet the shippers＇ requirement. The influence of weighting factor on the transportation plan is similar to the actual multimodal transportation, which indicates the formulated model and proposed algorithm is effective and feasible.

关 键 词：第四方物流 模糊时间窗 用户偏好 混合田口遗传算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]