摘要
运输调度问题模型类型多、结构复杂、求解工作量大,应用智能运输调度系统可提高运输调度工作效率和调度水平,降低物流运输成本。本文研究了智能运输调度系统的核心部件——智能求解机制。通过分析典型运输调度模型的结构特征,对模型类参数进行结构化归类及编码,提出一种面向智能运输调度系统的求解机制,重点研究了模型类的自动识别机制。本文提出的求解机制具有开放、可重构、智能建模、智能求解等特点,仿真分析和初步应用的效果令人满意。
For Vehicle Routing and Scheduling Problems （VRSP）, there are characteristics of various types, complex structures and heavy workload of solutions. The application of Intelligent Routing and Scheduling system can improve the efficiency of routing and scheduling as well as dispatch levels, as to reduce the logistics costs. In this paper, it is studied that the core component of Intelligent Vehicle Routing and Scheduling System, that is, intelligence solving mechanism. Based on analysis of the structural features of typical VRSP models, also as classifying and coding for the parameters of the models, a kind of solving mechanism is proposed for Intelligent Vehicle Routing and Scheduling system, which focus on the automatic identification mechanism of the class of model. Solving mechanism proposed, which is proposed in this paper, is characterized as open, reconfigurable, intelligent modeling and solving available, and so on. Moreover, the results of simulation analysis and preliminary application are satisfactory.
出处
《自动化与信息工程》
2011年第1期14-18,共5页
Automation & Information Engineering
基金
国家自然科学基金项目(61074147)
广东省自然科学基金团队项目(8351009001000002)
关键词
运输调度
模型参数
模型识别
智能算法
求解机制
Vehicle Dispatch
Model Parameters
Model Recognition
Intelligent Algorithms
Solving Mechanism
