| Optimized vehicle scheduling and filling model based on effective space and integrated solving algorithm |
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| 作者姓名： | ZHAO Peng MU Xin YAO Jin-hua WANG Yong YANG Xiu-tai |
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| 作者单位： | College of |
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| 基金项目： | the Natural Science Foundation of China (No. 70572028). |
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| 摘 要： | We established an integrated and optimized model of vehicle scheduling problem and vehicle filling problem for solving an extremely complex delivery mode-multi-type vehicles, non-full loads, pickup and delivery in logistics and delivery system. The integrated and optimized model is based on our previous research result-effective space method. An integrated algorithm suitable for the integrated and optimized model was proposed and corresponding computer programs were designed to solve practical problems. The results indicates the programs can work out optimized delivery routes and concrete loading projects. The model and algorithm have many virtues and are valuable in practice.
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| 关 键 词： | 交通调度 运输容量 整合优化 解决方法 |
| 文章编号： | 1671-8224（2007）03-0172-05 |
| 修稿时间： | 2006-12-03 |
Optimized vehicle scheduling and filling model based on effective space and integrated solving algorithm |
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| ZHAO Peng MU Xin YAO Jin-hua WANG Yong YANG Xiu-tai.Optimized vehicle scheduling and filling model based on effective space and integrated solving algorithm[J].Journal of Chongqing University,2007,6(3):172-176. |
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| Authors: | ZHAO Peng MU Xin YAO Jin-hu WANG Yong YANG Xiu-tai |
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| Abstract: | We established an integrated and optimized model of vehicle scheduling problem and vehicle filling problem for solving an extremely complex delivery mode-multi-type vehicles, non-full loads, pickup and delivery in logistics and delivery system. The integrated and optimized model is based on our previous research result-effective space method. An integrated algorithm suitable for the integrated and optimized model was proposed and corresponding computer programs were designed to solve practical problems. The results indicates the programs can work out optimized delivery routes and concrete loading projects. The model and algorithm have many virtues and are valuable in practice. |
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| Keywords: | vehicle scheduling vehicle filling integration and optimization solving algorithm |
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