Abstract-Web service composition has become a promis ing technology in a variety of e-science or e-business areas. There are a va riety 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 Opti mization (ACO) , Genetic Algorithm (GA), Evolutionary AI gorithm (EA) and Particle Swarm Optimization (PSO) . By analyzing and investigating different approaches, this paper gives an overview about the researches on bio-inspired al gorithm in web service composition and point out future directions. Index Terms-Bio-inspired algorithms, web service com position, quality of service.
One of our earlier studies REF presented a survey on bio-inspired algorithms for Web service composition by comparing ant colony algorithms, genetic algorithms, evolutionary algorithms, and particle swarm optimization algorithms.
A survey on bio-inspired algorithms for web service composition
Proceedings of the 2012 IEEE 16th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
Proceedings of the 2012 IEEE 16th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
Computer Science