A survey on bio-inspired algorithms for web service composition
Paper
Paper/Presentation Title | A survey on bio-inspired algorithms for web service composition |
---|---|
Presentation Type | Paper |
Authors | Wang, Lijuan (Author), Shen, Jun (Author) and Yong, Jianming (Author) |
Editors | Gao, Liang, Shen, Weiming, Barthes, Jean-Paul and Luo, Junzhou |
Journal or Proceedings Title | Proceedings of the 16th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2012) |
ERA Conference ID | 43280 |
Number of Pages | 6 |
Year | 2012 |
Place of Publication | Piscataway, NJ. United States |
ISBN | 9781467312110 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/CSCWD.2012.6221875 |
Web Address (URL) of Paper | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6221875 |
Conference/Event | CSCWD 2012: 16th International Conference on Computer Supported Cooperative Work in Design |
International Conference on Computer Supported Cooperative Work in Design | |
Event Details | International Conference on Computer Supported Cooperative Work in Design CSCWD Rank B B B B B B B |
Event Details | CSCWD 2012: 16th International Conference on Computer Supported Cooperative Work in Design Event Date 23 to end of 25 May 2012 Event Location Wuhan, China |
Abstract | Web service composition has become a promising technology in a variety of e-science or e-business areas. There are a variety of models and methods to deal with this issue from different aspects. Bio-inspired algorithms are becoming main approaches and solutions. This paper reviews the current researches on web service composition based on bio-inspired algorithms, such as Ant Colony Optimization (ACO), Genetic Algorithm (GA), Evolutionary AIgorithm (EA) and Particle Swarm Optimization (PSO). By analyzing and investigating different approaches, this paper gives an overview about the researches on bio-inspired algorithm in web service composition and point out future directions. |
Keywords | bio-inspired algorithms; web service composition; quality of service |
ANZSRC Field of Research 2020 | 490102. Biological mathematics |
400999. Electronics, sensors and digital hardware not elsewhere classified | |
460612. Service oriented computing | |
Public Notes | © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Byline Affiliations | University of Wollongong |
School of Information Systems | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q165v/a-survey-on-bio-inspired-algorithms-for-web-service-composition
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