| 集送一体化动态车辆调度研究 |
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| 引用本文： | 侯文英,尹朝晖.集送一体化动态车辆调度研究[J].包头钢铁学院学报,2013(4):388-391. |
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| 作者姓名： | 侯文英 尹朝晖 |
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| 作者单位： | 内蒙古科技大学机械工程学院,内蒙古包头014010 |
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| 摘 要： | 相对传统的车辆调度，集送一体化的调度模式可以解决单向行驶日寸车辆空载问题．动态车辆调度是当前研究的热点．通过动态车辆调度策略，建立动态车辆调度模型，并利用改进蚁群算法对模型进行计算．通过应用实例，运用Mat｜ab对模型进行测试．测试的结果收敛并得到最优解，表明该算法对于解决集送一体化动态车辆调度模型是有效的．
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| 关 键 词： | 集送一体化 动态车辆调度 改进蚁群算法 MATLAB 测试收敛 |
The study of the integrated dynamic vehicle scheduling problem |
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| Hou Wen-ying,Yin Zhao-hui.The study of the integrated dynamic vehicle scheduling problem[J].Journal of Baotou University of Iron and Steel Technology,2013(4):388-391. |
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| Authors: | Hou Wen-ying Yin Zhao-hui |
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| Affiliation: | ( Mechanical Engineering School, Inner Mongolia University of Science and Technology, Baotou 014010, China) |
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| Abstract: | Dynamic vehicle scheduling is a current research hotspot. Compared with the traditional vehicle scheduling, the model of pickup and delivery integration scheduling can solve the unidirectional driving vehicle loading problem. The dynamic, vehicle scheduling model was established through dynamic vehicle scheduling strategy, and the improved ant colony algorithm was adopted to calculate the model ,which was tested by an application example using Matlab. The test results converged and the optimal solution was obtained, showing that the algorithm is effective to solve the pickup and delivery integration scheduling model. |
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| Keywords: | pickup and delivery dynamic vehicle scheduling improved ant colony algorithm MATLAB Test of convergence |
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