摘要
随着物联网、大数据以及人工智能技术的不断发展,各行各业相互渗透相互融合,实现产业“跨界”景象。产业互联的发展给物流行业带了机遇和挑战,而车辆调度是物流配送活动中的重要一环,通过学习和研究发现多Agent智能系统具有良好的自治性、分布性等特征,适合解决基于产业互联下复杂动态的物流配送车辆调度问题。通过对系统中车辆调度Agent这一封层的详细分析,发现车辆调度问题类似于旅行商问题可用数学语言表达,其主要由两部分组成:目标函数和约束条件。在此领域不断地研究和发展中用改进的方法求得最优的车辆调度方案。
With the continuous development of the internet of things,big data and artificial intelligence technology,various industries have infiltrated and integrated with each other to realize the industry“crossover”.The development of industrial interconnection brings opportunities and challenges to the logistics industry,and vehicle scheduling is an important part of logistics and distribution activities.Through learning and research,it is found that multi-agent intelligent system has good characteristics of autonomy and distribution,so as to solve the complex dynamic logistics and distribution vehicle scheduling problem based on industrial interconnection.Through the detailed analysis of the vehicle scheduling Agent layer in the system,it is found that the vehicle scheduling problem is similar to the travel Agent problem,which can be expressed by mathematical language.It is mainly composed of two parts:objective and constraint.Then,the optimal vehicle scheduling scheme can be obtained by improved methods in this field.
作者
张圣洁
ZHANG Shengjie(Management School,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处
《物流科技》
2020年第4期49-52,共4页
Logistics Sci-Tech
关键词
产业互联
物流配送
车辆调度
多AGENT
industrial interconnection
logistics distribution
vehicle scheduling
multi-Agent
