Abstract
With quality of service as the restraint, in accordance with the features of service composition, this paper proposes an intelligent optimization algorithm for Web service composition. By combining a wide search range of shuffled frog leaping algorithm and high accuracy of particle swarm optimization algorithm, this algorithm can find the best one from a lot of service composition schemes. Simulation results show that the algorithm designed by this paper can overcome the low accuracy of shuffled frog leaping algorithm and instability of particle swarm optimization algorithm, and can find the better service composition scheme in all cases.
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Li, J., Yu, B., Chen, W. (2012). Research on Intelligence Optimization of Web Service Composition for QoS. In: Liu, C., Wang, L., Yang, A. (eds) Information Computing and Applications. ICICA 2012. Communications in Computer and Information Science, vol 308. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34041-3_33
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DOI: https://doi.org/10.1007/978-3-642-34041-3_33
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