In order to solve the problem of path optimization of transportation passageway, based on the comprehensive analysis of the current situation of China-EU container transportation, a multi objective optimization model was constructed for the optimization of China-EU container multimodal transport routes considering three aspects of transportation time, transportation costs and carbon emissions. According to the different emphasis and different needs of the multimodal transport participants, the different weights of the three objective functions were determined which can be transformed into a single objective problem by weighted sum. By using the genetic algorithm to solve the model, the Pareto solution of the model was finally obtained. Taking the actual data from Nanjing to Berlin as an example, the analysis shows that the model is feasible and effective, which can provide a high guiding optimization scheme for the optimization of China-EU container multimodal transport.%为了解决运输通道路径优选问题,在综合分析中欧集装箱联运现状的基础上,集成考虑运输时间、运输费用和碳排放3方面因素,构建中欧集装箱多式联运路径优化的多目标优化模型.根据多式联运参与者的不同侧重点和差异化需求,确定3个目标函数的不同权重,通过加权求和将多目标合并转化为单目标问题;采用遗传算法求解,最终迭代得到模型的Pareto解.以南京到柏林的实际数据为例进行算例分析,结果表明该模型是可行有效的,能够为中欧集装箱多式联运路径优化提供较高指导性的优化方案.
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