摘要
针对自动化集装箱码头成组直接中转情况下岸桥的调度问题,以最小化中转完工时间和岸桥的等待时间为目标,建立多目标优化模型,设计多目标遗传算法对模型进行求解.考虑模型中权重等参数的影响,设计3种实验,并对实验结果进行讨论.结果表明,提出的模型具有一定的可行性和实用性,其算法在一定的运算时间内能获得稳定的满意解.
Aiming at the quay crane scheduling problem considering group-based strategy and direct transshipment at automated container terminal, a multi-objective optimization model is established with the bi-objective to minimize the completion time of a vessel and the waiting time of the quay cranes. Then, a multi objective genetic algorithm is designed to solve the problem. Considering the effects of weights and other parameters of the solutions, three experiments are performed and ana- lyzed. The results shows that the proposed model can have certain feasibility and practicality and the algorithm can obtain a satisfactory solution in a certain time.
出处
《武汉理工大学学报（交通科学与工程版）》
2016年第4期719-724,730,共7页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
国家自然科学基金面上项目(71471109)
国家自然科学基金青年项目(71101088)
教育部博士点基金项目(20113121120002)
交通部应用基础研究项目(2015329810260)
上海市教委科研创新项目(14YZ100)
上海市曙光计划项目(13SG48)资助
关键词
自动化集装箱码头
多目标遗传算法
成组策略
直接中转运输
岸桥作业调度
automated container terminal
multi-objective genetic algorithm
group-based strategy
di- rect transshipment
quay crane scheduling
