Name
Abstract | ||
|---|---|---|
Web service composition problem has been a hot topic recently. With the development of cloud computing technology, a single Web service can no longer meet the users’ requirement. However, service composition gives a proper way to solve this problem. A knowledge based differential evolution algorithm for Web service composition was proposed in this paper. Firstly, we introduce QoS evaluation models, and propose the mathematical model of QoS applied to Web service composition optimizing problem. Secondly, we present a knowledge based differential evolution algorithm used to solve Web service composition optimizing problem. The algorithm improves the accelerate convergence velocity by importing structure knowledge. Finally, simulation experiments and evaluation methodology are given, and the results prove KDE has better performance in Web service composition problem, compared with original DE, PSO. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s12652-016-0445-5 | J. Ambient Intelligence and Humanized Computing |
Keywords | Field | DocType |
Web service composition, Quality of service, Differential evolution, Structure knowledge | Convergence (routing),Data mining,Web service composition,Computer science,Quality of service,Service composition,Differential evolution,Web modeling,Web service,Cloud computing | Journal |
Volume | Issue | ISSN |
9 | 3 | 1868-5145 |
Citations | PageRank | References |
6 | 0.44 | 32 |
Authors | ||
5 | ||