Abstract: Under the situation of vigorously promoting the adjustment of transportation structure in China, a multi-objective multimodal transport route selection model based on whale optimization algorithm was studied, in order to reduce logistics costs, improve logistics efficiency, and reduce environmental pollution caused by logistics transport emissions. The proposed multi-objective multimodal transport route selection model not only considered the transportation costs and transit costs, but also took into account the green cost of carbon emissions during transportation and the time window cost of reaching the destination city. By simulating the three processes such as target encirclement, bubble net attack and target search of whale optimization algorithm and Pareto fitness multi-objective optimization, a multi-objective multimodal transportation route selection model was established. The simulation test results show that the whale optimization algorithm has better global optimization ability and faster convergence characteristics in solving the path selection, and the proposed model has good effect and can meet transportation users’ needs of multimodal transport route selection.

Key words: traffic and transportation engineering; multimodal transportation; whale optimization algorithm; route selection; multi-objective optimization; logistics

摘要： 在我国大力推进运输结构调整的形势下，为使物流成本降低、运输效率提升，减少物流运输排放造成环境污染，研究了一种基于鲸鱼优化算法的多目标多式联运路径选择模型。该多式联运路径选择模型的构建不仅考虑了运输费用和中转费用，而且将运输途中的碳排放绿色成本和到达目的城市的时间窗成本也考虑在内。通过模拟鲸鱼优化算法的目标包围、泡泡网攻击和目标搜索3个过程，以及Pareto适应度多目标优化，建立了支持多目标的多式联运路径选择模型。仿真实验结果表明：鲸鱼优化算法在求解路径选择方面具有较好的全局寻优能力和较快的收敛特性，所构建的模型效果好，能够满足运输用户多式联运路径选择需求。

关键词: 交通运输工程；多式联运；鲸鱼优化算法；路径选择；多目标优化；物流