Ant-Inspired Technique for Automatic Web Service Composition and Selection

@article{Pop2010AntInspiredTF,
  title={Ant-Inspired Technique for Automatic Web Service Composition and Selection},
  author={Cristina Bianca Pop and Viorica R. Chifu and Ioan Salomie and Mihaela D{\^i}nsoreanu and Tudor David and Vlad Acretoaie},
  journal={2010 12th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing},
  year={2010},
  pages={449-455}
}
This paper presents a technique for semantic Web service composition inspired by the behavior of ants. The proposed technique combines a service composition graph model with the ant colony optimization met heuristic to select the optimal composition solution. In our approach, we have considered as selection criteria the QoS attributes of the services and the semantic quality of the connections between the services involved in a composition solution. 
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