徐园园等：领域Q$与资源感知的物流服务动态优化组合方法 ·891· service portfolio in the third-party logistics information system.Lo- [11]Yu Y,Chen J,Lin S Q,et al.A dynamic QoS-aware logistics gist Technol,2011,30(2):123 service composition algorithm based on social network.IEEE (张磊，姜大立，李德，等.第三方物流信息系统中基于gemt Trans Emerg Topics Comput,2014,2(4):399 的wcb服务组合研究.物流技术，2011,30(2)：123) [12]Yang R,Li B,Cheng C.Adaptable service composition for intel- [8]Li H F.Song C G Dong X,et al.QoS-based optimal selection ap- ligent logistics:a middleware approach//2014 International Con- proach for cloud service composition in manufacturing.Trans Bei- ference on Cloud Computing and Big Data CCBD).Wuhan. jing Inst Technol,2014,34(2):171 2014:75 (李慧芳，宋长刚，董训，等.考虑物流服务的云服务组合 [13]Liu ZZ,Xue X,Shen JQ,et al.Web service dynamic composi- QS评价方法研究.北京理工大学学报，2014,34(2)：171) tion based on decomposition of global QoS constraints.Int J Adv [9]Liu ZZ,Song C,Xue X.et al.Research on dynamie optimal Manuf Technol,2013,69(9-12):2247 composition of context-aware logisties Web service.Comput Eng [14]Karaboga D,Gorkemli B,Ozturk C,et al.A comprehensive sur- Sci,2013,35(9):51 vey:artificial bee colony (ABC)algorithm and applications.Artif (刘志中，宋成，薛霄，等.情景感知的物流Wb服务动态优 Intell Rev,2014,42(1):21 化组合研究.计算机工程与科学，2013,35(9)：51) [15]Graf S,Bekele R.Forming heterogeneous groups for intelligent [10]Fang Q H,Ni L P.Li Y M.Two stage multi objective ant colony collaborative learning systems with ant colony optimization//In- optimization for solving logistics web service composition.China ternational Conference on Intelligent Tutoring Systems.Springer- Mech Eng,2016,27(10):1327 Verlag,2006:217 (方清华，倪丽萍，李一鸣.求解物流W山服务组合问题的 [16]Liu Z Z,Jia Z P,Xue X,et al.Reliable Web service composi- 两阶段多目标蚁群算法.中国机械工程，2016,27(10)： tion based on QoS dynamic prediction.Sof Comput.2015,19 1327) (5):1409徐园园等: 领域 QoS 与资源感知的物流服务动态优化组合方法 service portfolio in the third鄄party logistics information system. Lo鄄 gist Technol, 2011, 30(2): 123 (张磊, 姜大立, 李德, 等. 第三方物流信息系统中基于 agent 的 web 服务组合研究. 物流技术, 2011, 30(2): 123) [8] Li H F, Song C G Dong X, et al. QoS鄄based optimal selection ap鄄 proach for cloud service composition in manufacturing. Trans Bei鄄 jing Inst Technol, 2014, 34(2): 171 (李慧芳, 宋长刚, 董训, 等. 考虑物流服务的云服务组合 QoS 评价方法研究. 北京理工大学学报, 2014, 34(2): 171) [9] Liu Z Z, Song C, Xue X, et al. Research on dynamic optimal composition of context鄄aware logistics Web service. Comput Eng Sci, 2013, 35(9): 51 (刘志中, 宋成, 薛霄, 等. 情景感知的物流 Web 服务动态优 化组合研究. 计算机工程与科学, 2013, 35(9): 51) [10] Fang Q H, Ni L P, Li Y M. Two stage multi objective ant colony optimization for solving logistics web service composition. China Mech Eng, 2016, 27(10): 1327 (方清华, 倪丽萍, 李一鸣. 求解物流 Web 服务组合问题的 两阶段多目标蚁群算法. 中国机械工程, 2016, 27 (10 ): 1327) [11] Yu Y, Chen J, Lin S Q, et al. A dynamic QoS鄄aware logistics service composition algorithm based on social network. IEEE Trans Emerg Topics Comput, 2014, 2(4): 399 [12] Yang R, Li B, Cheng C. Adaptable service composition for intel鄄 ligent logistics: a middleware approach / / 2014 International Con鄄 ference on Cloud Computing and Big Data ( CCBD). Wuhan, 2014: 75 [13] Liu Z Z, Xue X, Shen J Q, et al. Web service dynamic composi鄄 tion based on decomposition of global QoS constraints. Int J Adv Manuf Technol, 2013, 69(9鄄12): 2247 [14] Karaboga D, Gorkemli B, Ozturk C, et al. A comprehensive sur鄄 vey: artificial bee colony (ABC) algorithm and applications. Artif Intell Rev, 2014, 42(1): 21 [15] Graf S, Bekele R. Forming heterogeneous groups for intelligent collaborative learning systems with ant colony optimization / / In鄄 ternational Conference on Intelligent Tutoring Systems. Springer鄄 Verlag, 2006: 217 [16] Liu Z Z, Jia Z P, Xue X, et al. Reliable Web service composi鄄 tion based on QoS dynamic prediction. Soft Comput, 2015, 19 (5): 1409 ·891·