自动化集装箱码头装卸系统的协同调度优化  

Optimization of Coordinated Scheduling of Loading and Unloading System in Automated Container Terminal

作　　者：栾晨 韩笑乐[1] 

机构地区：[1]同济大学机械与能源工程学院,上海201804

出　　处：《机械制造》2018年第4期84-88,共5页Machinery

基　　金：国家自然科学基金资助项目(编号:71502129)

摘　　要：为提高自动化集装箱码头装卸系统多阶段混合作业的效率,将双循环模式下的岸边吊桥-自动引导车-场地吊桥协同调度问题抽象为混合整数规划模型,利用基于启发式的自适应遗传算法进行求解,以达到优化集装箱任务集合完成时间的目的。通过数值试验验证了所提出模型与算法的有效性。In order to improve the efficiency of multi-stage mixing operation of loading and unloading system in automated container terminal, the coordinated scheduling of QC-AGV-YC in dual-cycle mode was abstracted as mixed integer programming model. The heuristic adaptive GA was used for solving, so as to achieve the goal i.e. optimization of the collection completion time of container tasks. The validity of the proposed model and algorithm was verified by numerical experiments.

关 键 词：码头 装卸 调度 自适应遗传算法 

分 类 号：TH24[机械工程—机械制造及自动化]