DocumentCode :
2702871
Title :
Solving Fuzzy QoS Constraint Satisfaction Technique for Web Service Selection
Author :
Zhuang, Liu ; YuanFei, Huang ; WeiGuang, Jian ; JiangBo, Zhou ; He-qing, Guo
Author_Institution :
South China Univ. of Technol., Guangzhou
fYear :
2007
fDate :
15-19 Dec. 2007
Firstpage :
35
Lastpage :
38
Abstract :
In global Web services selection, it involves to multi-objectives optimization and tradeoffs of diversified QoS criteria, therefore a suitable genetic algorithm is proposed to tackle the service selection problem. Since the QoS criteria are not always explicit and usually containing of fuzzy element, So this paper focuses on the relation between constraint satisfaction of fuzzy QoS criteria optimization and fitness evolution in multi-objective Web services selection and how to adjust the fuzzy QoS criteria of individual to fit for the evolution of population.
Keywords :
Web services; constraint theory; genetic algorithms; quality of service; Web service selection; fitness evolution; fuzzy QoS constraint satisfaction; genetic algorithm; multiobjectives optimization; Algorithm design and analysis; Biological cells; Computational intelligence; Constraint optimization; Decision making; Fuzzy neural networks; Genetic algorithms; Information security; Linear programming; Web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security Workshops, 2007. CISW 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-0-7695-3073-4
Type :
conf
DOI :
10.1109/CISW.2007.4425440
Filename :
4425440
Link To Document :
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