摘要
针对自动化集装箱码头严格装船模式下岸桥区域车辆拥堵问题,综合应用多智能体机制、消息通信机制和行动策略,建立基于MAS(Multi-Agent System)的集装箱码头ART(Artificial Intelligence Robot of Transportation)动态调速群智决策模型。针对ART分布式和智能性特点,提出面向群体智能的ART协同控制策略,ART个体通过与群体进行实时数据交互,并结合自身行动策略完成协同调速。根据不同场景仿真实验,对调速策略下的系统进行作业性能分析和敏感性分析,验证调度策略的有效性和在不确定性环境中的适应性。
Aiming at the problem of vehicle congestion in the quayside crane area under the strict loading mode of automated container terminals,comprehensively apply the multi-agent mechanism,message communication mechanism and action strategy to establish a container terminal ART(Artificial Intelligence Robot of Transportation)dynamic speed control group intelligent decision-making model based on MAS(Multi-Agent System).Aiming at the distributed and intelligent characteristics of ART,a swarm intelligence-oriented ART collaborative control strategy is proposed.ART individuals complete coordinated speed regulation through real-time data interaction with the group and their own action strategies.According to simulation experiments in different scenarios,the system under the speed control strategy is analyzed for performance and sensitivity,which verifies the effectiveness of this scheduling strategy and its adaptability in an uncertain environment.
作者
杨彩云
张煜
徐亚军
唐可心
YANG Cai-yun;ZHANG Yu;XU Ya-jun;TANG Ke-xin(School of Transportation and Logistics Engineering,Wuhan University of Technology,Wuhan 430063,China)
出处
《武汉理工大学学报》
CAS
2022年第1期28-35,共8页
Journal of Wuhan University of Technology
基金
国家自然科学基金(72174160)。
关键词
自动化集装箱码头
多智能体系统
动态调速
群体智能
automated container terminal
multi-agent system
dynamic speed regulation
swarm intelligence
