Wang Li, Zhu Xiaoning
School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China.
Comput Intell Neurosci. 2014;2014:682486. doi: 10.1155/2014/682486. Epub 2014 Nov 4.
Rail mounted gantry crane (RMGC) scheduling is important in reducing makespan of handling operation and improving container handling efficiency. In this paper, we present an RMGC scheduling optimization model, whose objective is to determine an optimization handling sequence in order to minimize RMGC idle load time in handling tasks. An ant colony optimization is proposed to obtain near optimal solutions. Computational experiments on a specific railway container terminal are conducted to illustrate the proposed model and solution algorithm. The results show that the proposed method is effective in reducing the idle load time of RMGC.
轨道式龙门起重机（RMGC）调度对于减少装卸作业的完工时间和提高集装箱装卸效率至关重要。在本文中，我们提出了一种RMGC调度优化模型，其目标是确定一个优化的装卸顺序，以使RMGC在装卸任务中的空载闲置时间最小化。提出了一种蚁群优化算法来获得近似最优解。在一个特定的铁路集装箱码头进行了计算实验，以说明所提出的模型和求解算法。结果表明，所提出的方法在减少RMGC的空载闲置时间方面是有效的。
