DocumentCode
3499160
Title
An Approach for QoS-Aware Web Service Composition Based on Improved Genetic Algorithm
Author
Liu, Huan ; Zhong, Farong ; Ouyang, Bang ; Wu, Jiajie
Author_Institution
Dept. of Comput. Sci., Zhejiang Normal Univ., Jinhua, China
Volume
1
fYear
2010
fDate
23-24 Oct. 2010
Firstpage
123
Lastpage
128
Abstract
One of the most interesting challenges introduced by web services is the dynamic composability. In this paper, An A-G algorithm(a modified Genetic Algorithm)is proposed to solve QoS-aware service composition problem, which is based on Ant Colony Optimization(ACO)and Genetic Algorithm. Our approach aims at learning advantages of both algorithms and overcoming their shortcomings. Experimental results show that our approach can improve the efficiency of web service composition, it can not only find an optimal solution, but also has a better convergence speed than that of the classical ACO.
Keywords
Web services; genetic algorithms; quality of service; QoS-aware Web service composition; ant colony optimization; genetic algorithm; quality of service; A-G algorithm; Ant Colony Optimization; Genetic Algorithm; service composition;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Information Systems and Mining (WISM), 2010 International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-8438-6
Type
conf
DOI
10.1109/WISM.2010.128
Filename
5662296
Link To Document