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系统管理学报 ›› 2013, Vol. 22 ›› Issue (1): 120-127.DOI: U691

• 运筹学与工业工程 • 上一篇    下一篇

最小化最大完工时间与等待时间的岸桥作业调度双目标优化及其遗传算法

范志强1, 2,乐美龙1   

  1. 1. 上海海事大学 物流研究中心,上海 200135;2. 河南理工大学 经济管理学院,河南 焦作 454000
  • 收稿日期:2011-07-12 修回日期:2011-12-05 出版日期:2013-01-28 发布日期:2013-01-28
  • 作者简介:范志强(1981-),男,博士生。研究方向为集装箱码头作业系统调度优化。 E-mail: fzq19810322@163.com
  • 基金资助:

    国家自然科学基金资助项目(71101088,71171129);上海市自然科学基金创新行动计划项目(10190502500);上海海事大学博士生创新基金资助项目(yc2011055)

A Genetic Algorithm to Minimize the Makespan and Waiting Time for the Bi-Objective Quay Crane Scheduling Problem

FAN Zhi-qiang1, 2, LE Mei-long1   

  1. 1. Logistics Research Center, Shanghai Maritime University, Shanghai 200135, China; 2. School of Economic & Management, Henan polytechnic University, Jiaozuo 454000, Henan, China
  • Received:2011-07-12 Revised:2011-12-05 Online:2013-01-28 Published:2013-01-28

摘要: 【摘要】分析了岸桥支援对船舶装卸作业效率的影响,指出减少岸桥等待时间,有利于加强岸桥支援,并能提高码头整体运作效率。考虑岸桥作业不可相互穿越与安全距离等特有约束,建立了岸桥作业调度双目标混合整数规划模型,其优化目标是最小化最大完工时间与岸桥等待时间。针对该问题的NP-hard特性,设计了一种遗传算法,对算法搜索空间进行了讨论,并推导了问题的一个下界。数据实验表明,所建立的模型能够在最小化最大完工时间的同时,有效地减少岸桥等待现象的发生,其算法在允许的运算时间内能获得稳定的满意解。

范志强,乐美龙. 最小化最大完工时间与等待时间的岸桥作业调度双目标优化及其遗传算法[J]. 系统管理学报,2013,22(1):120-127.

关键词: 岸桥作业调度, 岸桥等待时间, 混合整数规划, 遗传算法

Abstract: Abstract: This paper analyzes the influence of quay crane movements among several vessels on the efficiency of loading and unloading operations, and suggests that the waiting time of quay crane should be shortened to enhance the productivity of quay crane. Given the non-crossing and safety constraints, we establish a mixed integer programming model for quay crane scheduling problem, with the bi-objective to minimize the makespan of a vessel and the waiting time of the quay crane. Because of its NP-hard nature, a genetic algorithm is designed to obtain the near optimal solutions. A lower-bound is established to facilitate the effectiveness searching of the proposed algorithm. Computational study shows that the MIP model can minimize the makespan of a vessel, while effectively reduce the quay crane’s waiting time, and the algorithm can find stable and satisfying solutions in a reasonable amount of CPU time.

Key words: quay crane scheduling, quay crane’s waiting time, mixed integer programming, genetic algorithm

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