摘要
在传统意义上的离散事件动态系统中事件定义的基础上,提出了广义离散事件动态系统的思想.通过对事件属性划分的动态调节,使事件的辨识条理化.对公路交通中的多路口流量建模,并进行了分析.基于广义离散事件动态系统的调度思想,利用人工代谢算法对交通流量进行了控制分析.分析结果表明:广义离散事件动态系统能对系统的状态进行进一步的细化.人工代谢算法与该系统相配合,通过代谢算子的调节能较快地实现整个系统负荷均衡,能对流量的变化进行自适应调节.
The idea of Generalized Discrete Event Dynamic System (GDEDS) was proposed, based on the definition of traditional discrete event dynamic system. The events can be identified according to their dynamic features. The model of multi-crossover road was analyzed. The traffic flows were controlled with artificial metabolic algorithm based on the scheduling plan of generalized discrete event dynamic system. The results have shown that the system status can be better evaluated with generalized discrete event dynamic system. The load balancing in the system can be realized by regulating the metabolic operators under the integrating artificial metabolic algorithm with generalized discrete event dynamic system. The adaptive scheduling for traffic flows can also be carried out.
出处
《湖南大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2010年第3期44-48,共5页
Journal of Hunan University:Natural Sciences
基金
国家自然科学基金资助项目(60874008)
湖南省自然科学基金资助项目(07JJ6126)
关键词
新陈代谢
广义离散事件动态系统
事件辨识
人工代谢算法
自适应调度
metabolism
generalized discrete event dynamic system
event identification
artificial metabolic algorithm
adaptive scheduling