QoS-aware service selection based on swarm particle optimization

The growing number of web service over the internet urges us to conceive an efficient selection approach, especially for composite requests. In general, we can find a set of services that provide the same functionality (inputs/outputs), but differ in QOS criteria, in this situation we must select the best ones, by applying some optimization algorithm. In this paper, we propose a reactive multi-agent solution, based on swarm particle optimization. The proposed system adopts a set of particle's groups, which explore the space search in order to maximize a single objective function. The obtained results show a high rate of optimality and merit to be continued.