A Web service dynamic selection method based on improved hybrid particle swarm optimization algorithm
Xueshan Luo · Journal of Central South University(Science and Technology) · 2011
Aiming at the Web service dynamic selection problem during Web service composition,a model of the whole QoS(quality of service) optimize problem of Web service composition with restriction was established,the current research of mathematical solving algorithms for solving the model were analyzed,and an improved hybrid particle swarm optimization algorithm was put forward to solve the model.Finally,comprehensive experiments based on simulation case was set up.The results show that in the improved hybrid particle swarm optimization algorithm,the new particle is refreshed by particle information self,optimal solutions of population and individual,the cross,mutation and selection operators of genetic algorithm.The algorithm is feasibile,valid and efficient and it is proved that the algorithm can resolve the whole QoS optimize problem of web service composition efficiently.