An Effective Transactional Service Selection Approach with Global Optimization Based on Skyline and Particle Swarm Optimization

摘要：

　　With the growing number of alternative services in the open service environment, service selection with global optimization in service composition is a critical issue.In this paper, we propose an approach SPSO-GOTSS (global optimization of transactional service selection based on skyline and particle swarm optimization) to implement transactional service selection with global optimal QoS and semantic matching degree.This approach first adopts skyline operator to prune redundant services, then employs particle swarm optimization to select service from amount of candidates.When computing the final skyline service, we consider both dominance and incompatibility checking.The mutation operation is used to overcome the premature convergence of traditional PSO.The experimental results show that our proposed approach is feasible and effective.

关键词： Service Selection Global Optimization Semantic Matching QoS Transaction Skyline Particle Swarm Optimization

作者: Wanchun Yang Chenxi Zhang

作者单位: School of Electronics and Information Engineering, Tongji University, 201804 Shanghai, China ;School School of Software Engineering, Tongji University, 201804 Shanghai, China

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 241-249

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）