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A survey on bio-inspired algorithms for web service composition

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3 Author(s)
Lijuan Wang ; Fac. of Inf., Univ. of Wollongong, Wollongong, NSW, Australia ; Jun Shen ; Jianming Yong

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 Algorithm (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.

Published in:

Computer Supported Cooperative Work in Design (CSCWD), 2012 IEEE 16th International Conference on

Date of Conference:

23-25 May 2012