Abstract
QoS-aware Web Service Selection is a crucially important issue in Service Oriented Communication which enables communication by integrating communication web services over Internet. Because of the growing number of candidate web services that provide the same functionality but differ in Quality of Service (QoS), it brings more challenges to select a combination of composite services with optimal QoS performance, while satisfying users' QoS constraints. Here, an improved Particle Swarm Optimization Algorithm (iPSOA) is proposed to solve this problem. In order to make the algorithm more suitable for QoS-aware Web Service Selection, firstly we redefine the parameters, such as position, velocity and updating operations. In addition, a Non-Uniform Mutation (NUM) strategy is applied to the global best particle to enhance the population diversity on the purpose of overcoming the prematurity of PSOA and a non-uniform mutation function is also designed. Furthermore, the other two contributions are the Adaptive Wei...
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