基于多智能体的旅游云服务组合模型
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摘要
针对目前研究服务组合自动化程度低及合作成功率低等情况,提出了基于多智能体的旅游云服务模型.首先提出了基于多智能体的旅游云服务组合框架,其次以旅游服务为例,设计了旅游服务本体;再次提出云服务组合求解的方法.云服务组合求解方法包括服务形成、合作产生、角色指定、团队初步形成、服务分解、服务团队最终形成、服务分配、执行服务8个阶段.最后举例进行说明旅游服务组合合作求解过程,仿真验证团队形成的有效性.
Because of low level of automation and low cooperative success rate for service' combination, the travel cloud service combination model based on multi-agent system is presented. Firstly, the framework of cloud service combination based on multi-agent system is presented. Secondly, travel service is taken for example and the ontology for travel service is designed. Thirdly, the cooperative solving method of cloud service combination which consist of eight phases is put forward. The eight phases are service forming, cooperation generating, role appointment, original team forming, service decomposition, final team forming, sub-service assignment and service execution, respectively. Last, an example is given to illuminate the cooperative solving process of travel service combination, the simulation results show that the team form method is effective.
Because of low level of automation and low cooperative success rate for service' combination, the travel cloud service combination model based on multi-agent system is presented. Firstly, the framework of cloud service combination based on multi-agent system is presented. Secondly, travel service is taken for example and the ontology for travel service is designed. Thirdly, the cooperative solving method of cloud service combination which consist of eight phases is put forward. The eight phases are service forming, cooperation generating, role appointment, original team forming, service decomposition, final team forming, sub-service assignment and service execution, respectively. Last, an example is given to illuminate the cooperative solving process of travel service combination, the simulation results show that the team form method is effective.
引文
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[2]苗国英,马情.多智能体系统的协调控制研究综述[J].南京信息工程大学学报:自然科学版,2013, 5(5):385-396.
[3]曹伟,孙明.基于迭代学习的部分非正则多智能体编队控制[J].控制与决策,2018,33(9):1619-1624.
[4]Nouredine G, Hassina S. Composition of Web service based multi-agent[C]. Proceedings of the 2009international Conference on Multimedia computing and Systems, Ouarzazate, 2009:51-56.
[5]Lomuscio A, Qu H, Solanki M. Towards verifying contract regulated service composition[J]. Autonomous Agents and Multi-Agent Systems, 2012, 24(3):345-373.
[6]丁滟,王怀民,史佩昌等.可信云服务[J].计算机学报,2015, 38(1):133-149.
[7]弓晓敏,于长锐.基于云模型的改进TODIM方案评价方法[J].系统工程与电子技术,2018, 40(7):1539-1547.
[8]胡军,管春,胡涛.基于改进贝叶斯和风险评估的无线传感网络信任模型[J].南昌大学学报,2018, 42(2):168-173.
[9]徐军.集成直觉模糊信息的主观信任模型[J].计算机应用,2016, 36(4):937-940
[10]张涛,马建峰,习宁.面向服务移动社交网络中基于信任的分布式服务组合方法[J].电子学报,2016,44(2):258-267.
[11]李静亚.基于智能规划的交通信息服务组合关键技术研究[D].西安:长安大学硕士学位论文,2017.
[12]刘金星.基于MAS的多机协同空战指挥系统[D].西安,西北工业大学博士论文,2003.
[13]Braun P, uller I M, Geisenhainer S, Schau V, and R. Rossak W. A service-oriented software architecture for mobile agent toolkits[C]. In Proceedings of the 11th Annual IEEE Internation Conference and Workshop on the Engineering ofComputer Based Systems(ECBS 2004), Brno(Czech Republic),2004, 5:550-556.