摘要
研究铁路到站集装箱吊车作业优化,如何规划龙门吊的作业顺序,减少作业次数成为衡量堆场工作效率的关键。通过分析问题建立一个计划期内以倒箱次数最少为目标的多时段动态集装箱堆场箱位分配模型,减少龙门吊的作业次数,设计遗传算法求解。算例表明:该模型及算法能够有效地优化堆场内零散箱的箱位分配,提高集装箱堆场的作业效率。
It presents the optimization of railway station container crane operation, and the issues on how to plan gantry crane operation sequence and reduce work times to be the key measure of yard work efficiency. So the multistage dynamic container storage allocation model is established, whose objective is to minimize the rearrangement times of scattered containers in a planning period in the mixed storage area of a container yard. The genetic algorithm is designed to find the solution. An example shows that the model and algorithm are able to optimize the scattered container storage allocation in mixed storage area effectively and raise the container yard operation efficiency.
出处
《交通科技与经济》
2013年第5期43-45,共3页
Technology & Economy in Areas of Communications
关键词
集装箱堆场
倒箱
箱位分配
遗传算法
container yard
loading-unloading
container storage allocation
genetic algorithm
