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	Genetic algorithm for context-aware service composition based on context space model
	Zhang, Zhichao ; Zheng, Shaoqiu ; Li, Weiping ; Tan, Ying ; Wu, Zhonghai ; Tan, Wei
	2013
英文摘要	The emergence of Web services has changed the Internet a lot, and greatly facilitated the development of service based software systems. How to select appropriate services and compose them according to given context to satisfy a user's requirement is a big challenge. This paper proposes a novel Genetic Algorithm (GA) method to synthesis web services in a context-aware environment. We first present a context space model to illustrate both contexts and services in a formal way, we utilize GA to compose context-aware services according to users' preference. We transform the problem of service composition to a multi-objective optimization problem. To resolve the conflict and dependencies among services in GA process, we propose a service similarity tree (SST) model to measure the similarity between services. Finally, we design a simulation experiment to evaluate our method. The experiment result shows that our method is a promising one to solve service composition problem in a context-aware environment. ? 2013 IEEE.; EI; 0
语种	英语
DOI标识	10.1109/ICWS.2013.94
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/294596]
专题	信息科学技术学院 软件与微电子学院
推荐引用方式 GB/T 7714	Zhang, Zhichao,Zheng, Shaoqiu,Li, Weiping,et al. Genetic algorithm for context-aware service composition based on context space model. 2013-01-01.

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