系统仿真学报 ›› 2018, Vol. 30 ›› Issue (3): 831-839.doi: 10.16182/j.issn1004731x.joss.201803008

• 仿真建模理论与方法 • 上一篇    下一篇

考虑堆场派送顺序的混合目的港贝内排箱及其仿真优化

张煜1, 程惠敏1, 徐进1, 田维1, 孙俊峰2   

  1. 1.武汉理工大学物流工程学院,湖北 武汉 430063;
    2.中交第二航务工程勘察设计院有限公司,湖北 武汉 430060
  • 收稿日期:2017-04-13 出版日期:2018-03-08 发布日期:2019-01-02
  • 作者简介:张煜(1974-),男,山西长治,博士,教授,研究方向为交通运输和物流领域的系统建模、仿真优化、启发式算法。
  • 基金资助:
    国家自然科学基金(71372202, 71501152),武汉理工大学研究生优秀学位论文培育项目(2016- YS-080)

Simulation Optimization on Multi-Ports Slot Plan Problem Considering Dispatching Sequence of Containers in Yard

Zhang Yu1, Cheng Huimin1, Xu Jin1, Tian Wei1, Sun Junfeng2   

  1. 1.School of Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China;
    2.CCCC Second Harbor Consultants Co., Ltd, Wuhan 430060, China
  • Received:2017-04-13 Online:2018-03-08 Published:2019-01-02

摘要: 考虑堆场派送顺序,构建了混合目的港贝内排箱问题的整数线性规划模型,目标是最小化船舶贝内横倾力矩。利用该数学规划模型,仿真分析了不同派送规则对问题求解的影响。为提高问题求解的计算效率,设计了基于遗传算法的仿真优化,仿真模型能够模拟派送和装船过程,利用规则集构造可行解,并输入给优化模型。在遗传算法中,提出了有效的编码和解码形式,能够实现船舶贝内集装箱的互换和移动操作,实现种群个体质量的提高。结合ILOG CPLEX中的分支定界方法和实例仿真分析,验证了基于遗传算法的仿真优化模型的性能。

关键词: 集装箱船舶, 贝内排箱, 整数线性规划, 仿真优化, 遗传算法

Abstract: The multi-ports slot plan problem considering dispatching sequence of containers in yard is solved by an integer linear programming model, which minimizes heeling moment. The influences of different dispatching rules on solving the problem are simulated and analyzed through the programming model. Accordingly, a simulation optimization model based on genetic algorithm is constructed in order to enhance the computational efficiency. The simulation optimization model simulates the process of dispatching containers and loading vessel. The feasible solution is constructed through rules sets and inputted into the optimization model. An efficient encoding and decoding solutions are developed in genetic algorithm, which accomplish the swapping or moving operation of containers in bay of container vessel and improve the individual quality of population. The performance of simulation optimization model based on genetic algorithm is demonstrated through simulation experiments and the comparison with branch & bound algorithm from ILOG CPLEX.

Key words: container vessel, slot plan, integer linear programming, simulation optimization, genetic algorithm

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