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Local Sequence-Cut Method for AGV Dispatching Problem at Automated Container Terminals with Tandem Lift Quay Cranes

机译:用于串联电梯码头起重机的自动集装箱码头AGV调度问题的本地序列切割方法

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The dispatching problem of automated guided vehicles (AGVs) between seaside quay cranes and landside yard cranes is a critical operation at container terminals. This paper provides a mixed integer linear program for the problem with tandem lift quay cranes and proposes a new method, called Local Sequence-Cut (LSC), to solve the problem. As opposed to most conventional heuristics which pass a local solu- tion during iteration, the LSC method is capable of reducing decision variable space very e ectively through constructing local sub-problems and updating time bounds for container delivery to determine cut-o delivery sequences. Series of numerical experiments show the capability of the new LSC method to nd near-optimal so- lutions in substantially reduced CPU time compared to conventional commercial software.
机译:海边码头起重机和陆地围场起重机之间自动引导车辆(AGV)的调度问题是集装箱码头的关键操作。本文为串联电梯码头起重机提供了混合整数的线性程序,并提出了一种称为本地序列切割(LSC)的新方法来解决问题。与在迭代期间通过局部溶液的大多数传统启发式,LSC方法能够通过构建本地子问题和更新容器传送的时间界限来减少决策可变空间,以确定CUT-O传送序列。与传统商业软件相比,数值实验显示新的LSC方法在大大降低的CPU时间内对ND接近最佳调整的能力。

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