Adaptive Particle Swarm Optimization-based Web service selection

In service-oriented application, individual Web services usually cannot satisfy customers´ requirements, therefore, existing services always need to be integrated to create new value added composed services. To address this concern, a novel Particle Swarm Optimization (PSO) based service selection method is proposed to select appropriate services to construct a composite service which can meet the overall QoS (Quality of Service) requirements of customers. The proposed method adjusts the boundary of the search space adaptively to make the space extend or constrict with the movement of particles. Simulation results have shown that the proposed method is both feasible and effective.