نبذة مختصرة : With the rapid development of mobile network, cloud services and other technologies, the number of services in the Internet of Things environment is gradually increasing, the types are gradually diverse, and the correlation between the services is more complex. This correlation will affect the quality of service(QoS) performance of services, so it is necessary to consider the correlation between services in the process of service composition. In order to solve this problem, services were modeled by the intention and the context. The service relationship network was described by constructing the hypergraph. The set of clustered services and the correlation between the services are represented by hyperedges. On this basis, the NSGA-Ⅲ multi-objective optimization algorithm is used to complete the service composition, which covers the influence of the correlation between the services represented by hyperedges on QoS performance. The experiment proves that the hypergraph model can describe the service and the correlation between the services well, and improve the QoS quality of the service combination solution solved by the multi-objective optimization algorithm.
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