Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
An approach for QoS-aware service composition based on genetic algorithms
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
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There are several approaches for QoS---aware web service composition. But most approaches are concerned about web service composition algorithm itself, while ignoring the flexibility for user to set QoS and cost. Most of them require QoS constraints given in form of numbers. In reality, it is difficult for users because they don't know the exact value or range of QoS of composite web services. Users may just want composite solutions of web services in different degrees of QoS according to their economics or want composite solutions in quality priority or cost priority. To solve non-clarity and diversity of user's QoS requirements, this paper proposes a multi-strategic approach of fast composition of web services. With the approach, users can get solutions of web service composition quickly and as satisfied as possible. Or they become gradually clear about the range of QoS they want and finally find satisfied composite solutions.