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Computational Intelligence and Neuroscience
Volume 2014, Article ID 682486, 8 pages
Research Article

Rail Mounted Gantry Crane Scheduling Optimization in Railway Container Terminal Based on Hybrid Handling Mode

School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China

Received 11 August 2014; Revised 6 October 2014; Accepted 7 October 2014; Published 4 November 2014

Academic Editor: Xiaobei Jiang

Copyright © 2014 Li Wang and Xiaoning Zhu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.