...
首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Domain quality-driven logistics web service optimal composition based on culture artificial bee colony algorithm
【24h】

Domain quality-driven logistics web service optimal composition based on culture artificial bee colony algorithm

机译:基于文化人工蜂群算法的领域质量驱动物流网络服务最优组合

获取原文
获取原文并翻译 | 示例
           

摘要

Logistics Web Service optimal composition is the key business of the fourth party logistics service platform and how to construct the optimal logistics Web service composition is a challenge. However, existing logistics Web service composition methods only consider the general quality of service (QoS) and ignore the domain quality attribute of the logistics service, leading to unsatisfactory composite logistics Web services and poor success rate of logistics composition. For solving this problem, a domain quality-driven logistics optimal logistics Web service composition method is proposed. Firstly, domain quality evaluation model of logistics Web service is proposed; secondly, quality evaluation model of logistics Web service composition has been designed in which domain quality is taken as the primary indicator and general QoS attribute is taken as the secondary index; Finally, the improved artificial bee colony algorithm is incorporated within the framework of the cultural algorithm to construct culture artificial bee colony algorithm(C-ABC), and this algorithm is applied to solve the problem of domain quality-driven logistics Web service optimal composition. Experimental results show that the method is effective and feasible.
机译:物流Web服务最优组合是第四方物流服务平台的核心业务,如何构建最优的物流Web服务构架是一个挑战。但是,现有的物流Web服务组合方法仅考虑服务的一般质量(QoS),而忽略了物流服务的域质量属性,导致复合物流Web服务的满意度不高,物流组合成功率低。为了解决这个问题,提出了一种基于领域质量驱动的物流最优物流Web服务组合方法。首先,提出了物流网络服务领域质量评价模型。其次,设计了以领域质量为主要指标,以一般QoS属性为第二指标的物流网络服务组合质量评价模型。最后,将改进的人工蜂群算法整合到文化算法框架内,构建人工蜂群算法(C-ABC),并将其应用于解决领域质量驱动的物流Web服务最优组合问题。实验结果表明,该方法是有效可行的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号