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空挂任务不确定情形下的甩挂运输调度优化

杨珍花 杨光敏 徐奇 郭姝娟 靳志宏

杨珍花, 杨光敏, 徐奇, 郭姝娟, 靳志宏. 空挂任务不确定情形下的甩挂运输调度优化[J]. 交通运输工程学报, 2016, 16(5): 103-111. doi: 10.19818/j.cnki.1671-1637.2016.05.012
引用本文: 杨珍花, 杨光敏, 徐奇, 郭姝娟, 靳志宏. 空挂任务不确定情形下的甩挂运输调度优化[J]. 交通运输工程学报, 2016, 16(5): 103-111. doi: 10.19818/j.cnki.1671-1637.2016.05.012
YANG Zhen-hua, YANG Guang-min, XU Qi, GUO Shu-juan, JIN Zhi-hong. Optimization on tractor-and-trailer transportation scheduling with uncertain empty-trailer tasks[J]. Journal of Traffic and Transportation Engineering, 2016, 16(5): 103-111. doi: 10.19818/j.cnki.1671-1637.2016.05.012
Citation: YANG Zhen-hua, YANG Guang-min, XU Qi, GUO Shu-juan, JIN Zhi-hong. Optimization on tractor-and-trailer transportation scheduling with uncertain empty-trailer tasks[J]. Journal of Traffic and Transportation Engineering, 2016, 16(5): 103-111. doi: 10.19818/j.cnki.1671-1637.2016.05.012

空挂任务不确定情形下的甩挂运输调度优化

doi: 10.19818/j.cnki.1671-1637.2016.05.012
基金项目: 

国家自然科学基金项目 71172108

国家自然科学基金项目 71302044

国家自然科学基金项目 71572023

国家自然科学基金项目 71302085

欧盟FP7居里夫人项目 ENRICH-612546

交通运输部应用基础研究计划项目 2014 329 225 110

辽宁省自然科学基金计划项目 2015020092

中国博士后科学基金项目 2014M550153

高等学校博士学科点专项科研基金项目 20132125120009

详细信息
    作者简介:

    杨珍花(1991-), 女, 山东青岛人, 大连海事大学工学博士研究生, 从事物流系统优化与仿真研究

    靳志宏(1963-), 男, 辽宁沈阳人, 大连海事大学教授, 工学博士

  • 中图分类号: U492.22

Optimization on tractor-and-trailer transportation scheduling with uncertain empty-trailer tasks

More Information
  • 摘要: 在实际路网下建立了空挂任务不确定情形下的甩挂运输调度优化模型, 设计两阶段启发式算法进行求解, 第1阶段分别按照空挂调运距离最小和重挂任务起终(OD)点总顺差最低2种策略确定空挂调运方案, 第2阶段结合任务节点顺差和贪婪思想确定所有任务的执行序列, 采用算例分析算法的性能。分析结果表明: 空挂运输成本与总成本分别为325.5、1 010.5元, 比原有方案分别节约10.44%、3.62%, 且使用的牵引车更少; 基于辽宁省内城市间甩挂运输算例所得空挂调运距离最小和重挂任务OD点总顺差最低2种策略的最优值分别为2 561.3、2 464.6元, 平均求解时间分别为21.5、27.3s, 第2种策略各结果的稳定性较好; 模拟退火算法所得总成本均在3 100元以上, 求解时间均在80s以上。可见, 本文算法的精度和效率较高, 重挂任务OD点总顺差最低策略在求解空挂任务不确定情形下的甩挂运输调度问题方面有着明显的优势。

     

  • 图  1  甩挂运输模式

    Figure  1.  Tractor-and-trailer transportation mode

    图  2  算法整体思路

    Figure  2.  Algorithm overall idea

    图  3  第1阶段的编码方式及对应的调运方案

    Figure  3.  Coding mode and corresponding dispatching scheme at the first stage

    图  4  空挂调运方案变换

    Figure  4.  Scheme transformation of empty-trailer transportaion

    图  5  以任务为对象的整数编码

    Figure  5.  Integer coding taking tasks as objects

    图  6  各结果高于最优值的比例

    Figure  6.  Proportions of results higher than optimal value

    图  7  重挂任务不平衡度变化的求解结果

    Figure  7.  Solving results with different unbalance degrees of heavy-trailer tasks

    图  8  空重挂任务比例变化的求解结果

    Figure  8.  Solving results with different ratios of empty-trailer tasks to heavy-trailer tasks

    表  1  本文算法结果与原有结果的对比

    Table  1.   Comparison of result computed by algorithm in this paper and original result

    下载: 导出CSV

    表  2  城市编号

    Table  2.   Cities numbering

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    表  3  节点之间的最短距离

    Table  3.   Shortest distances between nodes

    下载: 导出CSV

    表  4  重挂任务分配

    Table  4.   Assignment of heavy-trailer tasks

    下载: 导出CSV

    表  5  空挂供需情况

    Table  5.   Supply and demand situation of empty-trailers

    下载: 导出CSV

    表  6  两种策略所得最低总成本

    Table  6.   Lowest total costs by two strategies

    下载: 导出CSV

    表  7  模拟退火算法的求解结果

    Table  7.   Solving results of simulated annealing algorithm

    下载: 导出CSV
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出版历程
  • 收稿日期:  2016-04-11
  • 刊出日期:  2016-10-25

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