| 基于合作博弈的港口物流链云服务组织方法 |
丁荣涛( ) |
| Organization method for port logistics chain's cloud service based on cooperative game theory |
| Rongtao DING() |
| Zhejiang Commercial Economy Research Institute, Hangzhou 310053, China |
摘要:
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| 文章导读 | |||
| 摘要以合作博弈为基础,分析港口物流链云服务网络需求特征,描述了云服务网络通过公平的竞标和招标形成港口物流链的过程。设计了公有云集中决策,私有云利益补偿的物流链云服务组织策略。该策略能保证港口物流链成员利益均衡。建立了符合港口物流链云计算并行要求的多Agent计算框架,引入云遗传算法实现稳定高效的港口物流链资源选择和协作组织过程计算。算例测试结果表明,设计的模型与算法具有较强的可操作性,可以作为港口物流链云服务组织的参考方法。 | |||
| 关键词 ：云服务,合作博弈,港口物流,遗传算法 | |||
| Abstract：Based on the cooperative game theory, this paper analyzes the demand characteristics of port logistics chain cloud service network, and describes the process of formation of the port logistics chain cloud service network through fair bidding and tendering. The logistics chain cloud service organization strategy was designed including public cloud centralized decision with private cloud compensation designed, which guarantees the benefit equilibrium of port logistics chain members. The multiple agent parallel computing framework was established for port logistics chain cloud service, with the stable and efficient cloud genetic algorithm applied to the implementation process of logistics chain resource selection and collaborative computation. A test example shows that the designed model and algorithm have more effective operability, and can be taken as a reference for port logistics chain's cloud service organization. | |||
| Key words：cloud servicecooperative gameport logisticsgenetic algorithm | |||
| 收稿日期: 2013-12-26 出版日期: 2015-04-16 | |||
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| 基金资助:国家自然科学基金资助项目(60970021);浙江省高等学校教师专业发展访问学者项目(FX2012107) | |||
| 引用本文: |
| 丁荣涛. 基于合作博弈的港口物流链云服务组织方法[J]. 清华大学学报（自然科学版）, 2014, 54(3): 366-372. Rongtao DING. Organization method for port logistics chain's cloud service based on cooperative game theory. Journal of Tsinghua University(Science and Technology), 2014, 54(3): 366-372. |
| 链接本文: |
| http://jst.tsinghuajournals.com/CN/或 http://jst.tsinghuajournals.com/CN/Y2014/V54/I3/366 |
图表:
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| 港口物流链云服务网 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 港口物流链云服务形成流程图 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 双层分布式Agent计算框架 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 计算框架中的Agent列表 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 物流任务描述 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 物流资源服务节点列表 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 物流任务执行节点有向图 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 转运服务任务分配列表 |
参考文献:
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| [2] | Denktas-Sakar G, Karatas-Cetin C. Port sustainability and stakeholder management in supply chains: A framework on resource dependence theory[J]. The Asian Journal of Shipping and Logistics, 2012, 28(10): 301-319. |
| [3] | Lozano S, Moreno P, Adenso-Díaz B, et al. Cooperative game theory approach to allocating benefits of horizontal cooperation[J]. European Journal of Operational Research, 2012(2): 56-62. |
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| [5] | 莫宝民. 基于供应链的港口物流系统规划方法研究 [D]. 大连: 大连海事大学, 2009. MO Baomin. Research on planning methods for port logistics systems based on supply chains [D]. Dalian: Dalian Maritime University, 2009. (in Chinese) |
| [6] | 孔祥荣,韩伯棠. 基于合作博弈的运输分配方法[J]. 系统工程理论与实践, 2010, 30(7): 1340-1344. KONG Xiangrong, HAN Botang. Allocation method of transportation based on cooperative game[J]. Systems Engineering-Theory & Practice, 2010, 30(7): 1340-1344. (in Chinese) |
| [7] | 陈康, 郑纬民. 云计算:系统实例与研究现状[J]. 软件学报, 2009, 20(5): 1337-1348. CHEN Kang, ZHENG Weimin. Cloud computing: System instances and current research[J]. Journal of Software, 2009, 20(5): 1337-1348. (in Chinese) |
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