Optimization of Multimodal Transport Route of Chinese and Russian Commodities Based on Improved Fireworks Algorithm

被引：0
作者：
Wan J. [1 ]
Long Y. [1 ]
Chen X. [1 ]
机构：
[1] School of Economics and Management, Hebei University of Technology, Tianjin
来源：
Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology | 2022年 / 55卷 / 03期
关键词：
Changes in demand; Comprehensive transportation; Improved fireworks algorithm; Multimodal transport;
D O I：
10.11784/tdxbz202008086
中图分类号：
学科分类号：
摘要：
With the in-depth implementation of the "one belt and one road" initiative, the bilateral trade between China and Russia shows a trend of steady growth. The increasing demand for commodities and the diversification of the demand time have led to a significant change in the mode of transportation of commodities, from the original single mode of transportation to the present multimodal transport. The construction of a comprehensive transportation scheme through the multimodal transport means can meet the surge of commodity demand and the diversification of the commodity demand time;it can also complement the advantages of different modes of transport. To solve the optimization problem of multimodal logistics route, this paper takes the transportation route and mode of transportation between China and Russia as the research object. This paper comprehensively considers the commodity types, demand characteristics and transportation modes in the trade region between China and Russia, and establishes a multi-objective optimization model with transportation cost, transportation time and carbon emissions as the optimization objectives. Aiming at the actual situation of transportation between China and Russia, this paper considers only the multimodal transport between public transport, railway transport and sea transport, and an improved fireworks algorithm (FWA) for solving the model is design, considering the randomness and implicit parallelism of the model. By taking the multi-category commodity transportation between China and Russia as an example, the Pareto non-inferior solution of the multimodal transport route and the corresponding transportation cost, transportation time and carbon emissions are obtained, and compared with the basic FWA. The effectiveness of the model and the improved algorithm is verified. Moreover, this paper takes transport time as the sensitivity analysis variable to analyze the variation trend of transport scheme considering the attributes of transport cost, transport time and carbon emission under different time demands. This study can provide decision-making reference for the development of multimodal transport logistics between China and Russia. © 2022, Editorial Board of Journal of Tianjin University(Science and Technology). All right reserved.
引用
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页码：291 / 298
页数：7
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