Abstract：With the increasing complexity of users′ requirements and the increasing uncertainty of individual web services in large data environment，service composition becomes more and more difficult.A reliable web service composition optimization model based on hybrid genetic clustering is proposed.Firstly，the model generates the initial composite service set by chaotic mapping，and then filters the service set with the help of confidence table to improve the reliability of the combination.On this basis，the genetic algorithm is used to optimize the service set，the service composition optimization model is established based on quadratic clustering，and finally converges to the global optimal solution.The experimental results show that compared with traditional optimization methods，the proposed model improves both reliability index and combinatorial optimization degree.
张苑蕾,邵清,李刘静,鲁建斌,张程斌. 融合遗传聚类的可靠Web服务组合优化方法[J]. 小型微型计算机系统, 2020, 41(5): 1030-1035.
ZHANG Yuanlei,SHAO Qing,LI Liujing,LU Jianbin,ZHANG Chengbin. Reliable Web Service Composition Optimization Method Based on Genetic Clustering. Journal of Chinese Computer Systems, 2020, 41(5): 1030-1035.
2020, Vol. 41 
