Abstract
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.
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Wang, Z., Wang, Y., Hong, L., Chen, X. (2011). Optimization Choice Algorithm for Composite Service Based on QoS Aggregation. In: Zhang, J. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23235-0_54
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DOI: https://doi.org/10.1007/978-3-642-23235-0_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23234-3
Online ISBN: 978-3-642-23235-0
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