当前位置: X-MOL 学术ACM Trans. Auton. Adapt. Syst. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Adaptive Behavior Modeling in Logistic Systems with Agents and Dynamic Graphs
ACM Transactions on Autonomous and Adaptive Systems ( IF 2.7 ) Pub Date : 2019-03-25 , DOI: 10.1145/3313799
Thibaut Démare 1 , Cyrille Bertelle 1 , Antoine Dutot 1 , Dominique Fournier 1
Affiliation  

Inside a logistic system, actors of the logistics have to interact to manage a coherent flow of goods. They also must deal with the constraints of their environment. The article’s first goal is to study how macro properties (such as global performance) emerge from the dynamic and local behaviors of actors and the structure of the territory. The second goal is to understand which local parameters affect these macro properties. A multi-scale approach made of an agent-based model coupled with dynamic graphs describes the system’s components, including actors and the transportation network. Adaptive behaviors are implemented in this model (with data about the Seine axis) to highlight the system’s dynamics. Agent strategies are evolving according to traffic dynamics and disruptions. This logistic system simulator has the capacity to exhibit large-scale evolution of territorial behavior and efficiency face to various scenarios of local agent behaviors.

中文翻译:

具有代理和动态图的物流系统中的自适应行为建模

在物流系统中,物流的参与者必须相互作用以管理连贯的货物流。他们还必须应对环境的限制。本文的第一个目标是研究宏观属性(如全局性能)如何从演员的动态和局部行为以及领土结构中产生。第二个目标是了解哪些局部参数会影响这些宏属性。由基于代理的模型和动态图组成的多尺度方法描述了系统的组件,包括参与者和运输网络。在这个模型中实现了自适应行为(使用关于塞纳轴的数据)以突出系统的动态。代理策略正在根据交通动态和中断而发展。
更新日期:2019-03-25
down
wechat
bug