基于改进的自适应遗传算法的GIS服务组合研究  

Research on GIS Services Composition Based on Application Model

作　　者：柳玲[1] 冉唯[1] 许超超[1] 

机构地区：[1]重庆大学软件学院,重庆400044

出　　处：《计算机科学》2012年第B06期416-418,共3页Computer Science

基　　金：中央高校基本科研业务费(CDJZR10090001)资助

摘　　要：针对当前GIS系统中集成应用模型时存在的数据和功能冗余、模型难以复用等问题,将GIS应用模型分解为子模型,与GIS功能一起,以服务的方式提供给用户,并对这些GIS服务定义服务质量(QoS);最后,提出了一种基于改进的自适应遗传算法(MAGA)的服务组合方法,以实现GIS服务组合的全局优化。Recently,there are some problems in integrating application model into GIS system,such as redundancy,difficulty to reuse the model and so on.We proposed a method to solve these problems.At first,the GIS application model was decomposed into sub-models,and the sub-models and GIS functions were defined as services which are provided to users.Then it defined the QoS（quality of service） of the GIS services.At last,the paper proposed a service composition method based on modified adaptive genetic algorithm（MAGA）.The method can achieve the goal of global optimization of GIS services composition.

关 键 词：GIS服务 QOS 改进的自适应遗传算法(MAGA) 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]