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