基于改进烟花算法的中俄商品多式联运路径优化  

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

作　　者：万杰[1] 龙云飞 陈星瀚 Wan Jie;Long Yunfei;Chen Xinghan(School of Economics and Management,Hebei University of Technology,Tianjin 300401,China)

机构地区：[1]河北工业大学经济管理学院,天津300401

出　　处：《天津大学学报（自然科学与工程技术版）》2022年第3期291-298,共8页Journal of Tianjin University：Science and Technology

基　　金：河北省军民融合发展研究课题重点资助项目(HB19JMRH020);河北省社会科学发展研究课题(2019031201028).

摘　　要：中俄双边贸易随着“一带一路”倡议的深入落实呈现出稳定增长的态势,商品需求量的增多以及需求时间的多样化使得商品运输方式发生了重大转变,运输方式由原来的单一运输转变为现在的多式联运.通过多式联运构建综合交通运输方案,既能够满足商品需求量的激增以及商品需求时间的多样化,同时又能够发挥不同运输方式之间的优势,形成优势互补.为了求解多式联运物流路径优化问题,本文以中俄贸易区间的运输路线与运输方式为研究对象,综合考虑中俄贸易区间的商品种类、需求特点以及运输方式,建立了以运输成本、运输时间、碳排放量为优化目标的多目标优化模型.针对中俄贸易实际运输情况,本文仅考虑公、铁、海3种运输方式之间的多式联运,同时针对所构建模型的随机性和隐并行性,设计了求解该模型的改进烟花算法(improved FWA).通过以中俄两国之间的多品类商品运输为例进行算例分析,获得了多式联运运输路线的Pareto非劣解以及相应的运输成本、运输时间和碳排放量,并且与基本烟花算法进行对比,验证了模型和改进算法的有效性.同时,本文以运输时间作为灵敏度分析变量,分析不同时间需求下,运输方案在运输成本、运输时间和碳排放量3个属性之间的变动趋势,为中俄多式联运物流发展提供决策参考.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 d

关 键 词：综合交通运输 需求变动 多式联运 改进烟花算法 

分 类 号：U116.2[交通运输工程]