基于遗传算法的Web服务发现优化模型研究

Research of optimization of Web service discovery model based on genetic algorithm

传统的Web服务技术标准主要是基于UDDI,运用简单分类和关键词匹配提供服务发现,降低查准率、查全率,以及服务复用和组合的兼容性.通过Web服务模式并结合遗传算法,探讨了一种基于Web服务的相似性、服务质量(QoS)、匹配度、评级和可行性等特征的多目标优选模型,为Web服务提供有效的发现方法.

Traditional Web services, which are mainly technical specifications based on UD- DI, Classification and the use of simple keyword matching to provide service discovery. Re- duce the precision rate, recall rate, and service reuse and composition of the compatibility. basing on Web service models and in combination with genetic algorithm,In the paper, for- ward a multi-target optimization selection model based on similarity, QoS,matching degree, rating and feasibility of Web services, and provides an effective method for Web service dis- covery.