首页> 外文期刊>Maritime policy and management >A combined tramp ship routing, fleet deployment, and network design problem
【24h】

A combined tramp ship routing, fleet deployment, and network design problem

机译:流浪船的路线,舰队部署和网络设计的综合问题

获取原文
获取原文并翻译 | 示例
           

摘要

In this paper, a tramp ship routing model of fleet deployment in a hub-and-spoke network is presented. This model simultaneously determines the selection of hubs, the assignment of spokes to hubs, the deployment of feeder-containerships as well as containership routing between spokes and spokes, hubs and spokes, and hubs and hubs. Even though some parts have been studied, this complex combination of shipping problems has never been addressed. Because the problem is NP-hard, a genetic algorithm (GA) with local search is proposed. In the algorithm, a cut-off procedure is applied to fleet deployment in a sub-route strategy. A number of randomly generated problem instances are solved by both a mathematical program and the GA with local search. A simple but realistic heuristic algorithm is also developed. Both the GA with local search and the heuristic algorithm are used to solve a number of real case instances. A comparison of the results shows the efficiency of the GA with local search. The developed model can be used as a route-decision support tool for shipping companies that provide long-haul shipping services in a hub-and-spoke network.
机译:本文提出了轮辐型网络中舰队部署的流浪船航路模型。该模型同时确定轮毂的选择,轮辐对轮毂的分配,支线集装箱的部署以及轮辐和轮辐,轮毂和轮辐以及轮毂和轮毂之间的集装箱运输路线。尽管已经研究了某些部件,但运输问题的这种复杂组合从未得到解决。由于该问题是NP难题,因此提出了一种具有局部搜索的遗传算法。在该算法中,截止程序应用于子路线策略中的车队部署。数学程序和具有局部搜索功能的GA均可解决许多随机​​生成的问题实例。还开发了一种简单但现实的启发式算法。带有局部搜索的GA和启发式算法都用于求解许多实际案例。结果的比较显示了GA与本地搜索的效率。所开发的模型可以用作在轮辐型网络中提供远程运输服务的运输公司的路线决策支持工具。

著录项

  • 来源
    《Maritime policy and management》 |2015年第2期|68-91|共24页
  • 作者单位

    Seoul Natl Univ, Dept Ind Engn, Seoul 151744, South Korea;

    LG Elect Hi Logist China Co Ltd, Beijing 100102, Peoples R China;

    Pusan Natl Univ, Dept Ind Engn, Pusan 609735, South Korea;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号