摘要
针对不确定环境下集装箱码头泊位—岸桥联合调度问题,综合考虑码头运营商对提高客户满意度和降低运营成本的双重需求,通过设置缓冲时间的方法吸收计划中的不确定性因素,建立了以船舶延迟离港时间最小和缓冲时间最大以及最小化集装箱码头作业成本为目标函数的集装箱码头泊位—岸桥多目标优化模型;并设计了嵌套启发式规则的NSGA-II算法,求出了平衡码头运营商与客户利益的Pareto最优解集。最后通过数值仿真分析验证了模型算法的可行性,得到的调度方案可以在保障客户满意度的前提下,降低港口运营成本。
Aiming at the joint scheduling problem of container terminal berth quayside bridge under uncertain environment, considering the dual needs of terminal operators to improve customer satisfaction and reduce operating costs, we adopted a method of setting buffer time to absorb the uncertain factors in the plan. The multi-objective optimization model of container terminal berth quayside bridge was established with the objective function of minimizing the ship’s delayed departure time, maximizing the buffer time and minimizing the operating cost of the container terminal. The NSGA-II algorithm with nested heuristic rules was designed, and Pareto optimal solution set balancing the interests of terminal operators and customers was obtain. Finally, the feasibility of the model algorithm was verified through numerical simulation analysis, and the obtained scheduling plan can reduce the port operating cost while ensuring customer satisfaction.
作者
赵旭
索浩
苗雨莹
ZHAO Xu;SUO Hao;MIAO Yu-ying(College of Transportation Engineering,Dalian Maritime University,Dalian Liaoning 116026,China)
出处
《计算机仿真》
北大核心
2022年第12期220-225,263,共7页
Computer Simulation
基金
国家社会科学基金(18VHQ005)。
关键词
水路运输
泊位—岸桥联合调度
缓冲时间
多目标优化
改进算法
Waterway transportation
Berth-quay crane joint scheduling
Buffer time
Multi-objective optimization
Improved algorithm
