DocumentCode
2619327
Title
TTS-Coded Genetic Algorithm for QoS-driven web service selection
Author
Shuang, Kai ; Yu, Shun ; Su, Sen
Author_Institution
State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2009
fDate
16-18 Oct. 2009
Firstpage
885
Lastpage
890
Abstract
To maximize user satisfaction during composition of web services, a novel genetic algorithm based on a special tree traversal sequence (TTS) coding scheme is presented in this paper. Utilizing the tree traversal information toted by individuals of genetic population and the composite logical information stored in tree composite pattern (TCP), TTS coding scheme can support all the 4 basic models of service composition flows in a much simpler and more effective way. Additionally, an adaptive crossover and mutation strategy is adopted to improve the algorithm´s search capability and constringency speed. Experiments show that the adaptive TTS-coded genetic algorithm (GA) can get more excellent composite service plan than matrix-coded and tree-coded GA.
Keywords
Web services; adaptive codes; genetic algorithms; quality of service; QoS-driven web service selection; adaptive TTS-coded genetic algorithm; adaptive crossover; algorithm search capability; composite logical information; matrix-coded GA; mutation strategy; quality of service; tree composite pattern; tree traversal sequence coding scheme; tree-coded GA; user satisfaction; Biological cells; Concrete; Decoding; Genetic algorithms; Genetic mutations; Laboratories; Quality of service; Speech synthesis; Telecommunication switching; Web services; QoS-driven; TTS; genetic algorithm; web service selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications Technology and Applications, 2009. ICCTA '09. IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-4816-6
Electronic_ISBN
978-1-4244-4817-3
Type
conf
DOI
10.1109/ICCOMTA.2009.5349052
Filename
5349052
Link To Document