Abstract
Web Service selection is an important issue in dynamic Web Service composition. The existing approaches are QoS local optimization based. They cannot achieve global constraints and preferences set by user. In general, service selection with QoS global optimization is a NP-complete problem. So, we propose a model of Web Service selection with QoS global optimization and convert this NP-complete problem into a multi-objective optimization problem with constraints. Based on intelligent optimal theory of multi-objective Genetic Algorithm, we propose a strategy GODSS to realize Web Service selection with QoS global optimization.
This research is supported in part by the National High Technology Research and Development Program of China under grants No.2002AA134010 and No.2003AA135110.
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Liu, S., Liu, Y., Jing, N., Tang, G., Tang, Y. (2005). A Dynamic Web Service Selection Strategy with QoS Global Optimization Based on Multi-objective Genetic Algorithm. In: Zhuge, H., Fox, G.C. (eds) Grid and Cooperative Computing - GCC 2005. GCC 2005. Lecture Notes in Computer Science, vol 3795. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590354_10
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DOI: https://doi.org/10.1007/11590354_10
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