基于遗传算法的低碳物流运输网络优化分析  

Analysis of Low Carbon Logistics Transportation Network OptimizationBased on Genetic Algorithm

作　　者：李英杰[1] LI Ying-jie(Hunan Polytechnic of Environment and Biology,Hengyang 421005,China)

机构地区：[1]湖南环境生物职业技术学院,湖南衡阳421005

出　　处：《物流工程与管理》2021年第10期60-62,共3页Logistics Engineering and Management

摘　　要：现阶段全球气候环境与能源都呈现出逐渐恶化的趋势,因此在未来的发展中,全球都需要基于低碳化的发展理念,确保能够起到保护环境的效果。而当下的物流行业一直都是能源与碳排放的重要组成部分,因此在物流业未来的发展中,需要逐渐转变成低碳物流业。这样的行业转型主要是利用控制能源消耗达到低碳的效果,降低对社会环境的破坏和影响。在分析中,基于这种低碳物流的运输网络,采用遗传算法的方式,实现网络的全面优化和调整,以此保障对物流业进行科学合理的规划调整,同时也对资源进行有效的配置。At the present stage,the global climate,environment and energy show a gradual deterioration trend,so in the future development of the world,we need to be based on the concept of low carbonization development,which can effectively play a role in environmental protection.The current logistics industry is always an important part of energy and carbon emissions,so in the future development of logistics industry,it is necessary to gradually transform it into low-carbon logistics industry.This kind of industry transformation is mainly to control energy consumption to play a low-carbon effect and reduce the damage and impact on the social environment.In the analysis of this paper,the transportation network based on low carbon logistics is optimized and adjusted by genetic algorithm,so as to ensure the scientific and reasonable planning and adjustment of the logistics industry,as well as the effective allocation of resources.

关 键 词：气候环境 碳排放 低碳发展 遗传算法 运输网络结构 

分 类 号：F252[经济管理—国民经济]