A survey on bio-inspired algorithms for web service composition

Wang, Lijuan and Shen, Jun and Yong, Jianming (2012) A survey on bio-inspired algorithms for web service composition. In: CSCWD 2012: 16th International Conference on Computer Supported Cooperative Work in Design, 23-25 May 2012, Wuhan, China.


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.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to published version due to publisher copyright policy.
Faculty/School / Institute/Centre: Historic - Faculty of Business and Law - School of Information Systems
Date Deposited: 06 Jan 2013 05:27
Last Modified: 14 Aug 2014 03:37
Uncontrolled Keywords: bio-inspired algorithms; web service composition; quality of service
Fields of Research : 01 Mathematical Sciences > 0102 Applied Mathematics > 010202 Biological Mathematics
10 Technology > 1006 Computer Hardware > 100606 Processor Architectures
08 Information and Computing Sciences > 0805 Distributed Computing > 080505 Web Technologies (excl. Web Search)
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
B Economic Development > 89 Information and Communication Services > 8902 Computer Software and Services > 890299 Computer Software and Services not elsewhere classified
Identification Number or DOI: 10.1109/CSCWD.2012.6221875
URI: http://eprints.usq.edu.au/id/eprint/21620

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