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  • 标题:Comparative Study of Web Services Using Evolutionary Algorithms
  • 本地全文:下载
  • 作者:Priyanka Saxena ; U. Datta
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2016
  • 卷号:7
  • 期号:4
  • 页码:1660-1663
  • 出版社:TechScience Publications
  • 摘要:Web services are rapidly changing the landscape ofsoftware engineering .The web services provide the somefunctionality but having different feature. It became theimportant issue due to this quality. In the web servicemanagement quality of service (QOS). There is some globaloptimization problem and selecting QOS based services forweb is one of them. In this paper improve genetic algorithm(IGA) is used for QOS based web-service composition. Herewe compare improved genetic algorithm (IGA), Particularswarm optimization (PSO), Differential equation (DE). In theexperimental results we found that IGA is the most feasibleand more efficient method for web service selection.
  • 关键词:web service; service composition; quality of;service; service selection ; IGA ;PSO;DE
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