A service selection model using mixed intelligent optimization

Based on the thought of separating non-functional properties from functional properties of Web Service, a composition Web Service selection model based on non-functional properties is put forward, in which executing sequence of the composition service has been given. On account of both incommensurability and confliction among non-functional properties, a new mixed intelligent optimization algorithm making use of both the advantage of Maximum Entropy Method and Social Cognitive Optimization is introduced to achieve the optimal result for the service selection model. Finally, numerical experiments are given, which demonstrate that non-functional requirements can be comprehensive considered for achieving the global automatic service selection.