Genetic Algorithm-Based Multi-objective Optimisation for QoS-Aware Web Services Composition

نویسندگان

  • Li Li
  • Pengyi Yang
  • Ling Ou
  • Zili Zhang
  • Peng Cheng
چکیده

Finding an optimal solution for QoS-aware Web service composition with various restrictions on qualities is a multi-objective optimisation problem. A popular multi-objective genetic algorithm, NSGA-II, is studied in order to provide a set of optimal solutions for QoS-based service composition. Experiments with different numbers of abstract and concrete services confirm the expected behaviour of the algorithm.

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تاریخ انتشار 2010