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A Qos Optimization for Intelligent and Dynamic Web Service Composition Based on Improved PSO Algorithm

机译:基于改进PSO算法的智能动态Web服务组合的Qos优化

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this paper descirbes experimental tests about adopting improved PSO algorithm to solve the deficiency of QoS optimization in Web service composition. After web service composition problem is converted into a multi-objective optimization problem according to users' requirements for Qos, improved PSO algorithm is adopted and repeatedly tests the optimization model by constantly adjusting the step size and learning factor. Experimental results show that the web service composition model by adopting finally determined step parameters could improve speed and performance for finding the optimal solution.
机译:本文针对采用改进的PSO算法解决Web服务组合中QoS优化的不足进行了实验测试。根据用户对Qos的要求,将Web服务组合问题转换为多目标优化问题后,采用改进的PSO算法,并通过不断调整步长和学习因子来反复测试优化模型。实验结果表明,采用最终确定的步长参数的Web服务组合模型可以提高速度和性能,从而找到最佳解决方案。

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