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A Novel Algorithm for Composite Service Choosing

Among a variety of composite services meeting functional demands, how to make optimization choice is a difficult problem faced by users whose QoS demand is a multidimensional objective, and QoS features are not interdependent. Therefore, the service choice based on QoS aggregation is a typical multi-objective optimization problem. By analyzing the existing optimization choice algorithm for composite service based on QoS aggregation, this paper has proposed an optimization choice algorithm for composite service based on cooperative evolutionary genetic algorithm; on the basis of defining service QoS attribute feature vector, it analyzes the strategy and mechanism influencing the efficiency and solution space of this algorithm and verifies the effectiveness and feasibility of this algorithm by comparison with the experiment on traditional single-species genetic algorithm.