Research on QoS-aware cloud service optimal composition
QoS感知的云服务优化组合研究

In order to address the problem of QoS-aware cloud services optimal composition, this paper firstly improved the social cognitive optimization, and proposed a kind of imitation learning method for discrete optimization problems and designed a kind of observation learning method. Then, it used the improved SCO algorithm to solve the QoS-aware cloud service optimal composition problem. The experiment results show that improved social cognitive optimal algorithm has strong search ability and fast convergence rate, it also can be used to solve other discrete optimization problems.