情景感知的物流Web服务动态优化组合研究

发布时间：2018-08-10 18:15

【摘要】：第四方物流服务通过大规模的资源整合,可以将领域内优秀的物流服务组合起来,为用户提供技术、仓储、运输服务等最佳结合的物流服务方案,实现物流服务的低成本、高效率、实时运作。然而,如何高效、动态地构建满足用户服务质量需求的可靠物流服务组合,是第四方物流服务商亟需解决的关键问题。针对这一问题,提出了一种情景感知的物流Web服务动态组合方法,该方法首先基于改进的遗传算法,将用户提出的全局QoS约束分解成局部QoS约束,从而将QoS感知的物流Web服务组合这一全局优化问题转化成局部最优服务选择问题;然后,在物流服务流程执行的过程中,依据当前关键的情景信息,选出可用并且能够满足局部QoS约束的最优物流服务;最后,通过实验验证了所设计方法的可行性和有效性。
[Abstract]:Through large-scale integration of resources, the fourth party logistics service can combine excellent logistics services in the field, and provide users with the best combination of technology, warehousing, transportation services and other logistics services, so as to realize the low cost of logistics services. High efficiency, real-time operation. However, how to efficiently and dynamically construct a reliable logistics service combination to meet the needs of users' service quality is a key problem urgently needed to be solved by the fourth party logistics service providers. To solve this problem, a scenario aware dynamic composition method for logistics Web services is proposed. Firstly, based on the improved genetic algorithm, the global QoS constraints proposed by users are decomposed into local QoS constraints. Thus, the global optimization problem of logistics Web service composition perceived by QoS is transformed into a local optimal service selection problem, and then, in the process of logistics service process execution, according to the current key situation information, The optimal logistics service which can meet the local QoS constraints is selected. Finally, the feasibility and effectiveness of the proposed method are verified by experiments.
【作者单位】：河南理工大学计算机科学与技术学院;
【基金】：国家自然科学基金面上基金资助项目(61175066);国家自然科学基金青年基金资助项目(60905041,61202136,61300124) 中国博士后科学基金资助项目(20110490396) 河南省高校科技创新人才资助计划资助项目(2011GGJS-056) 河南理工大学校博士基金资助项目(132300410332) 河南省科技厅基础与前沿技术研究(T2013-3) 河南理工大学创新型科研团队支持计划资助项目河南省教育厅科学技术研究重点项目(13B630034)
【分类号】：TP393.09;F259.2

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