交通运输系统工程与信息 ›› 2022, Vol. 22 ›› Issue (1): 133-141.DOI: 10.16097/j.cnki.1009-6744.2022.01.015

• 系统工程理论与方法 • 上一篇    下一篇

铁路集装箱中心站多轨道吊柔性协同调度优化

周勇*1,张杰1,钟祾充1,李文锋1,王国栋2   

  1. 1. 武汉理工大学,交通与物流工程学院,武汉 430063;2. 辽宁港口集团有限公司,专业能力中心,辽宁 大连 116001
  • 收稿日期:2021-08-24 修回日期:2021-10-08 接受日期:2021-10-11 出版日期:2022-02-25 发布日期:2022-02-23
  • 作者简介:周勇(1973- ),男,湖北汉川人,副教授,博士。
  • 基金资助:
    国家重点研发计划

Flexible Cooperative Scheduling Optimization of Multiple Rail Mounted Gantry Cranes in Railway Container Terminals

ZHOU Yong*1 , ZHANG Jie1 , ZHONG Ling-chong1 , LI Wen-feng1 , WANG Guo-dong2   

  1. 1. School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China; 2. Centre of Technology, Liaoning Port Group Co., Ltd., Dalian 116001, Liaoning, China
  • Received:2021-08-24 Revised:2021-10-08 Accepted:2021-10-11 Online:2022-02-25 Published:2022-02-23
  • Supported by:
    National Key Research and Development Program of China(2019YFB1600400)。

摘要: 针对铁路集装箱中心站轨道吊协同装卸调度(RMGCS)问题,考虑多轨道吊间的作业干涉和安全距离约束,建立目标函数为最小化集装箱完工时间的混合整数规划数学模型。结合 RMGCS问题特性,提出一种考虑多轨道吊柔性协同作业的改进麻雀搜索算法(ISSA),首先,提出能够解决多轨道吊间作业冲突的任务分配策略和干涉判断方法;其次,设计自适应非线性动态安全值,平衡全局和局部搜索;再次,改进加入者更新移动方式,使其在全维度上靠近最优解;最后, 引入LOV(largest-order-value)规则,将个体从实数向量映射到集装箱整数序列。为了验证问题和算法的有效性,分别利用ISSA与其他算法求解不同样本规模的算例,结果表明:ISSA在不同样本 规模的RMGCS问题求解上,均具有更好的寻优效果。此外,所提出的柔性协同调度模式相比现有的固定范围顺序装卸调度模式,使样本量为45的装卸作业总完工时间缩短了15.5%。

关键词: 铁路运输, 协同调度, 改进的麻雀搜索算法, 轨道吊, 铁路集装箱中心站

Abstract: This paper proposes a mathematical model of mixed integer programming for Rail Mounted Gantry Crane Collaborative Scheduling (RMGCS) in railway container terminals. The objective of the model is minimizing the completion time and the operation interference and safety distance constraints between multiple RMGs are considered in the modeling. Based on the characteristics of the RMGCS problem, an Improved Sparrow Search Algorithm (ISSA) is proposed considering the flexible cooperative operation of multiple RMGs. A task allocation strategy and an interference judgment method are used to solve the conflicts between multiple RMGs. An adaptive nonlinearity dynamic safety value is designed to balance global and local search. The joiner's update movement method is improved to make it closer to the optimal solution in all dimensions. The largest-order-value (LOV) rule was introduced to map individuals from the real number vector to the container operation sequence. To verify the effectiveness of the problem and algorithm, the ISSA and other algorithms are used to solve container task examples with different sample sizes. The results show that the ISSA has better optimization effect in solving RMGCS problems with different sample sizes. In addition, the proposed flexible collaborative scheduling mode reduces the total completion time of loading and unloading operations with a sample size of 45 by 15.5% compared to the existing fixed- range sequential loading and unloading scheduling mode.

Key words: railway transportation, integrated scheduling, improved sparrow search algorithm, rail mounted gantry crane, railway container terminal

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