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

作　　者：刘旋[1] 廖明潮[1] 

机构地区：[1]武汉工业学院数学与计算机学院,湖北武汉430023

出　　处：《计算机应用与软件》2013年第8期87-90,共4页Computer Applications and Software

基　　金："十二五"国家科技支撑计划项目(2011BAD24B03)

摘　　要：针对现有的服务选择算法单目标、局部最优等不足,提出基于人工鱼群的Web服务选择算法。首先建立QoS全局最优Web服务选择模型,之后运用人工鱼群算法来求解该模型,可以在有限迭代次数内产生一组满足用户需求的非劣组合服务集。最后通过仿真实验验证了该算法的有效性和可行性。为解决服务选择问题提供了新方案。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 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]