摘要
针对铁路集装箱中心站集装箱专列卸箱作业的效率问题,将内部集卡的任务调度和集装箱箱位分配进行集成,建立集装箱列车卸车作业的多目标优化模型,包括内卡在轨道门吊和辅助箱场等待时间,以及走行时间对作业效率的影响。采用混合遗传算法进行求解。将模拟结果与实际操作数据作比较,并对20次计算模拟进行平均时间和方差分析,验证了该方法的有效性。
Aiming at containers on the container-train being unloaded and transferred high efficiently, two separate problems, inter trucks schedule and container slots allocation are integrated. On the base, a two-objects optimal model is set up which thinks of the factors on the operation efficiency, which is traveling time between the rail gantry cranes and assistant containers area and waiting time at those work places. The model solved by hybric genetic algorithm is effective and reliable by comparing the simulation results with the actual data and analyzing the mean time and its reliance by 20 times calculation.
出处
《计算机工程》
CAS
CSCD
2012年第8期213-216,220,共5页
Computer Engineering
基金
西华大学机械设计及理论校级基金资助重点项目(XZD0813-09-01)
关键词
铁路集装箱中心站
集卡调度
箱位配置
多目标优化
遗传算法
railway container terminal
trucks schedule
container slots allocation
multi-object optimization
genetic algorithm
