Research on a Global Optimization Method for QoS of Web Service Composite
With the development of Web service technology, applications constructed by Composite Web Service becoming possible, so the importance of optimization problems for QoS of Web Service composite are becoming increasingly evident. Genetic algorithm and ant colony algorithm are both belong to the global optimization methods of QoS. For ant colony algorithm easy to drop into the slow pace of convergence while genetic algorithm easy to fall into local optimal solution and the low efficiency problem, this paper combined with the two algorithms' advantages, give full play to the positive feedback characteristics of ant colony algorithm and genetic algorithm's rapid global search capability, improves the global optimization algorithm's ability. After testing and analysis, it shows that the presented algorithm resolve the optimization problem of QoS better.