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A study on evolutionary computing based web service selection techniques
Artificial Intelligence Review ( IF 12.0 ) Pub Date : 2020-08-07 , DOI: 10.1007/s10462-020-09872-z
Lalit Purohit , Sandeep Kumar

Many service providers are offering their business functionality as web services. The problem of web service selection is a complex and time-consuming activity. Among other techniques, a significant work has been reported on the use of evolutionary computing based algorithms in determining optimal web service for a task. A rigorous review of the state-of-the-art for efficient selection of web services using evolutionary computing based algorithms published over the last decade is presented. The existing works on web service selection using various evolutionary approaches with a discussion on algorithmic variations, their effect on selection, quality of service parameters used, contributions, limitations and research gaps of these works are explored.

中文翻译:

基于进化计算的Web服务选择技术研究

许多服务提供商将其业务功能作为 Web 服务提供。Web 服务选择问题是一项复杂且耗时的活动。在其他技术中,已经报道了关于使用基于进化计算的算法来确定任务的最佳网络服务的重要工作。对使用过去十年发布的基于进化计算的算法有效选择 Web 服务的最新技术进行了严格审查。探讨了使用各种进化方法进行 Web 服务选择的现有工作,并探讨了算法变化、它们对选择的影响、使用的服务参数质量、贡献、局限性和这些工作的研究空白。
更新日期:2020-08-07
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