计算机应用与软件2013，Vol.30Issue(8)：87-90,4.DOI:10.3969/j.issn.1000-386x.2013.08.023
基于人工鱼群算法的QoS全局最优Web服务选择的研究
ON WEB SERVICES SELECTION WITH QoS GLOBAL OPTIMUM BASED ON ARTIFICIAL FISH SWARM ALGORITHM
摘要
Abstract
To resolve the deficiency of single objective and local optimum the existing services selection algorithms have,in the paper we propose a Web services selection algorithm which is based on artificial fish swarm algorithm.Firstly,it establishes a Web services selection model with QoS global optimum.Consequently,the artificial fish swarm algorithm is used to resolve the model and this can generate a set of non-inferior composited services set satisfying the customer requirements within finite iteration times.Finally,the effectiveness and feasibility of the algorithm are verified through simulation experiment.It provides a new scheme for solving the services selection problem.关键词
Web服务选择/QoS全局最优/人工鱼群/Pareto最优解Key words
Web services selection / QoS global optimum / Artificial fish swarm / Pareto optimal solutions分类
信息技术与安全科学引用本文复制引用
刘旋,廖明潮..基于人工鱼群算法的QoS全局最优Web服务选择的研究[J].计算机应用与软件,2013,30(8):87-90,4.基金项目
"十二五"国家科技支撑计划项目(2011BAD24B03). （2011BAD24B03）
