摘要
针对现有web服务组合中服务选择技术的不足,提出了一种基于粒子群优化算法的多目标优化策略,用于解决web服务组合中基于服务质量(QoS)的服务选择全局最优化问题.将web服务选择全局最优化问题转化为一个带QoS约束的多目标服务组合优化问题,利用多目标粒子群算法的智能优化原理,通过同时优化多个QoS参数,最终产生一组满足约束条件的Pareto最优解.实验结果证明了该算法的可行性和有效性.
A global optimal algorithm based on particle swarm optimization (PSO) is presented to resolve services selection with quality of service (QoS) global optimal in web service composition. This method will transform a web service selection global optimal problem into an optimization problem based on web service QoS. This algorithm is utilized multi-objective particle swarm optimization intelligent optimization principle to produce a set of optimal Pareto with constraint principle by optimizing multi QoS parameters simultaneously. Experiments show the feasibility and efficiency of this algorithm.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2009年第4期63-67,共5页
Journal of Beijing University of Posts and Telecommunications
基金
国家自然科学基金项目(90304006
60673170
60803162)
关键词
WEB服务
服务组合
服务质量
粒子群算法
web service
service composition
quality of service
particle swarm optimization