船舶物流最佳航线智能选择算法研究
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  • 英文篇名:Research on intelligent selection algorithm of ship logistics optimal route
  • 作者:覃志成
  • 英文作者:QIN Zhi-cheng;Guangxi Technological College of Machinery and Electricity;
  • 关键词:船舶物流 ; 最佳航线 ; 智能选择 ; 算法研究
  • 英文关键词:shipping logistics;;best route;;intelligent selection;;algorithm research
  • 中文刊名:JCKX
  • 英文刊名:Ship Science and Technology
  • 机构:广西机电职业技术学院;
  • 出版日期:2018-05-23
  • 出版单位:舰船科学技术
  • 年:2018
  • 期:v.40
  • 基金:广西高校科学技术研究项目(KY2015YB408)
  • 语种:中文;
  • 页:JCKX201810059
  • 页数:3
  • CN:10
  • ISSN:11-1885/U
  • 分类号:176-178
摘要
传统船舶物流航线的选择算法能够完成单批次、点对点船舶物流航线的确定,但针对多批次、多目的地、不同海洋运输环境的物流运输,传统船舶物流航线选择算法无法计算。为此提出船舶物流最佳航线智能选择算法研究。依托antcb数学模型控制k取值范围,构建理想状态下船舶物流航线的统计算法;扩展外在因素影响算法,对对渠道最佳航线计算进行动态修订,构建船舶物流最佳航线选择原则,完成船舶物流多点式最佳航线智能选择计算。通过实验表明,设计船舶航线智能选择算法比传统航线算法平均航线适用率提升68.93%,适合不同环境、多变量情况下最佳航线智能选择
        Traditional shipping logistics route selection algorithm can accomplish single batch, the determination of point-to-point shipping logistics routes, but in view of the destination, different batches, Marine environmental logistics, traditional logistics route selection algorithm is not applicable of the ship. In this paper, the intelligent selection algorithm of ship logistics is proposed. Based on the antcb mathematical model, the range of k is controlled, and the statistical algorithm of the shipping logistics cost is constructed. This paper introduces the dynamic updating technology of the external factors and the principle of selecting the optimal route selection of ship logistics, and completes the research of the intelligent selection algorithm for the optimal route of ship logistics. Experiments show that the ship intelligent selection algorithm more traditional routes arithmetic average rate of shipping routes for width increase 68.93%, suitable for different environment, the multivariable case best route intelligent selection algorithm.
引文
[1]赵占坤,郭春雷,耿兴隆.蚁群和粒子群优化融合算法在船舶网络资源调度中的应用[J].舰船科学技术,2016,38(10A):46-48.
    [2]王冀.动态规划和模糊算法在船舶航速最优调度中的应用[J].舰船科学技术,2016,78(18):136-138.
    [3]刘海姣,李莎.船舶工程中智能优化算法的应用研究[J].舰船科学技术,2016,90(16):10-12.
    [4]袁媛.自适应遗传算法在船舶线路布局中的应用研究[J].舰船科学技术,2016,8(10):85-87.

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