摘要
为了提高集装箱港口工作效率,在"大作业面"前提下,结合任务触发型和集卡触发型两种集卡在线调度方法,综合考虑系统总作业时间、岸吊等待时间以及集卡空载率问题,建立多目标优化模型,并运用启发式方法提出一种混合在线集卡调度算法。最后,以港口实际数据为例,通过实验仿真例证了模型优化效果和算法工作效率。
In order to improve the efficiency of container ports,a multi-objective optimization model was constructed under the premise of the"full working-area"by combining the task trigger online scheduling and truck trigger online scheduling and by comprehensively considering the total operating time of system,the waiting time of quay cranes,and the no-load rate of trucks.Then a hybrid online scheduling algorithm of trucks was proposed by using a heuristic method.Finally,the optimization effect of the proposed model and the efficiency of the proposed algorithm were verified by simulation experiment based on the actual data of a port.
出处
《山东科技大学学报(自然科学版)》
CAS
2017年第2期107-114,共8页
Journal of Shandong University of Science and Technology(Natural Science)
基金
国家自然科学基金项目(61170078
61472228)
泰山学者建设工程项目
山东省自然科学基金项目(ZR2014FM009)
山东省优秀中青年科学家科研奖励基金项目(BS2015DX010)
关键词
在线集卡调度
集装箱港口
多目标优化
混合
仿真
truck online scheduling
container terminal
multi-objective optimization
hybrid
simulation