基于人工鱼群算法的QoS全局最优Web服务选择的研究

摘要

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.%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.