摘要
Web服务技术的快速发展使用户对QoS(quality of service)越来越关注。为了进行基于QoS的Web服务组合优化,采用4种典型的QoS衡量指标建立了组合Web服务QoS量化模型;针对人工蜂群(artificial bee colony,ABC)算法搜索效率不高和过早收敛问题,引入禁忌策略和混沌优化进行了改进,并将改进算法用于组合Web服务的QoS优化;最后,通过仿真实验对模型和算法进行了验证。结果表明,改进算法全局优化能力全面提高,并且能较好地解决组合Web服务QoS全局优化问题。
With highly developing of Web service ,clients pay more and more attention to quality of service （QoS） .In order to optimize Web services composition based on QoS ,the paper builds the QoS quantificational model of Web services ,taking four representative indexes into account .Then , for artificial bee colony （ABC） algorithm easy to fall into local optimal solution and the low efficiency problem ,an improved ABC ,w hich is used to optimize Web services composition ,is presented by im-porting taboo strategy and chaos .At last ,the model and improved ABC are proved by simulation ex-periment .The result shows that the algorithm＇s performance is improved and does better in optimi-zing web services composition than ABC .
出处
《装备学院学报》
2013年第5期87-92,共6页
Journal of Equipment Academy
关键词
WEB服务
人工蜂群算法
组合优化
服务质量(QoS)
Web services
artificial bee colony（ABC） algorithm
optimizing composition
quality of service（QoS）
