基于多Agent和进化算法的作业线调度研究  

Crane Scheduling Research Based on Multi-Agent and Evolutionary Algorithms

作　　者：陈玲[1] 严南南[1] 

机构地区：[1]上海海事大学信息工程学院,上海200135

出　　处：《计算机技术与发展》2009年第11期210-213,共4页Computer Technology and Development

基　　金：上海市教育科研计划项目(06FZ027)

摘　　要：作业线调度是集装箱码头生产调度中最为关键的一个环节。文中将在充分分析与研究集装箱码头装卸作业信息流动的基础上,针对岸边作业线调度问题以及国内作业线系统的不足,建立模型辅助决策,帮助调度员快速、准确、安全、合理地进行岸桥调度的决策。在文中,充分地考虑了泊位、船舶、岸桥等集装箱设备及其协调,利用并合理地配置了这些码头资源,将引用多Agent技术协调作业线调度,并使用进化算法计算并安排岸桥来进行作业调度,建立基于多Agent和进化算法的集装箱码头作业线调度智能化系统。Crane scheduling is the most important component of the port operation scheduling. On the base of the analysis and the research of container crane scheduling, this dissertation will establish the assisting and decision -making modules to help the employees arrange the crane .scheduling rapidly, exactly, securely and reasonably against the crane scheduling problem and the tack of the domestic crane scheduling system. Considering the harmony of container equipment such as berth, boat and crane, arrange the container resources appropriately. It will be the introduction of Multi - Agent crane scheduling by using evolutionary, algorithms and the established Multi - Agent crane scheduling system based on the Multi - Agent and EAs.

关 键 词：作业线调度 岸桥 进化算法 多AGENT 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]