计算机科学 ›› 2012, Vol. 39 ›› Issue (Z6): 416-418.

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基于改进的自适应遗传算法的GIS服务组合研究

柳玲,冉唯,许超超   

  1. (重庆大学软件学院 重庆400044)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Research on GIS Services Composition Based on Application Model

  • Online:2018-11-16 Published:2018-11-16

摘要: 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。

关键词: GIS服务,QoS,改进的自适应遗传算法(MAGA)

Abstract: Recently, there arc 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 sulrmodels, and the sulrmodcls and GIS functions were defined as services which arc 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.

Key words: GIS services, QoS(Quality of Service) , Modified adaptive genetic algorithm(MAGA)

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