上海交通大学学报

上海交通大学学报（自然版） ›› 2013, Vol. 47 ›› Issue (02): 226-229.

• 自动化技术、计算机技术 • 上一篇    下一篇

集装箱码头连续型泊位与岸桥集成调度

桂小娅1，陆志强2，韩笑乐1   

  1. (1. 上海交通大学 机械与动力工程学院，上海 200240；2. 同济大学 机械与能源工程学院，上海 201804)
  • 收稿日期:2012-03-21 出版日期:2013-02-28 发布日期:2013-02-28
  • 基金资助:

    国家自然科学基金项目（70771065），国家高技术研究发展计划（863）项目（2009AA0430002009A

Integrating Optimization Method for Continuous Berth and Quay Crane Scheduling in Container Terminals

 GUI  Xiao-Ya-1, LU  Zhi-Qiang-2, HAN  Xiao-Le-1   

  1. (1. School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China;2. School of Mechanical Engineering, Tongji University, Shanghai 201804, China)
  • Received:2012-03-21 Online:2013-02-28 Published:2013-02-28

摘要： 摘要： 
针对集装箱码头泊位与岸桥两类资源分配的问题，提出了以最小化船舶总在港时间为目标、同时决策泊位与岸桥分配计划的方法，建立了连续型泊位和岸桥集成调度的数学模型.采用拆分决策对象的双层循环迭代算法对模型进行求解.算法的上层使用遗传算法优化船舶优先级和岸桥数目；下层基于船舶优先级决策泊位和岸桥集成调度计划，并通过数据实验证明了该算法的有效性和优越性.
关键词： 
集装箱码头； 泊位分配； 岸桥分配； 集成调度
中图分类号：  TP 29; U 691
文献标志码：  A  

Abstract: In order to solve the problem of allocation of two resources-berth and quay crane in container terminals, this paper developed an integrating optimization method to make decisions of the two aspects simultaneously with the objective function of minimizing the total stay time of vessels, and an integrating optimization mathematical model was built. The paper developed a two-level iterative algorithm by separating decision objections. On the first level, the genetic algorithm was presented to optimize the priority list of vessels served and the QC numbers allocated. And on the second level of the algorithm, the paper developed an integrating scheduling plan of berth allocation and QC assignment. Numeral experiments were conducted to prove the validity and superiority of the algorithm proposed.
Key words：

Key words: container terminal, berth allocation, quay crane assignment, integrating optimization