| 多Agent的集装箱供应链能耗优化数学模型 |
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| 引用本文： | 许冬敏,黄有方,杨斌,丁一,孙晓.多Agent的集装箱供应链能耗优化数学模型[J].上海海事大学学报,2014,35(2):22-27. |
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| 作者姓名： | 许冬敏 黄有方 杨斌 丁一 孙晓 |
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| 作者单位： | 上海海事大学 科学研究院,上海海事大学 科学研究院,上海海事大学 科学研究院,上海海事大学 科学研究院,上海海事大学 科学研究院；上海交通职业技术学院 |
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| 基金项目： | 国家自然科学基金（71171129）；上海市科学技术委员会地方院校能力建设项目（11510501900） |
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| 摘 要： | 为更好地实现集装箱运输任务协同和系统优化,针对集装箱运输覆盖地域广、参与主体多、活动协调难的问题,通过对集装箱运输系统的深入分析,将多Agent技术引入集装箱运输,构建起基于多Agent的集装箱供应链模型,并就模型中Agent体功能活动和结构特性进行分析.在此基础上,针对日益严重的集装箱运输能耗问题,建立集装箱运输能耗优化数学模型,并仿真分析集装箱供应链Agent体能力变动而引发的路径选择、运量分配以及能耗变动.结果表明,集装箱运输过程Agent体能力变化时,通过上述模型能够实现各Agent的有效协同,寻求能耗最优的运输方案.
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| 关 键 词： | Agent 能耗 优化模型 集装箱 供应链 |
| 收稿时间： | 9/6/2013 12:00:00 AM |
| 修稿时间： | 2013/10/10 0:00:00 |
Mathematical energy consumption optimization model of container supply chain with multi-Agents |
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| Institution: | Shanghai Maritime University Logistics Research Center,Shanghai Maritime University |
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| Abstract: | To achieve task coordination and system optimization better in the
container transportation, considering such issues as wide geographic
distribution, multiple participants and difficult activity coordination in
the container transportation, through in depth analysis on container
transportation system, the multi Agent technology is introduced to
container transportation to build a container supply chain model based on
multi Agents. The functional activity and structural feature of each Agent in the model is discussed. On this basis, considering increasingly
serious energy consumption issue in the container transportation, a
mathematical energy consumption optimization model of container
transportation is established to simulate path selection, traffic
assignment and energy consumption change resulting from Agent capacity change in the container supply chain. The results show that, considering
capacity change of some Agents, by the mathematical model to achieve
effective coordination within different Agents, the optimal energy
consumption transportation scheme can be found. |
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| Keywords: | Agent energy consumption optimization model container supply chain |
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