基于社会认知算法的软件可靠性分配问题研究  

Reliability allocation of software system based on social cognitive optimization

作　　者：孙家泽[1] 张建科[2] 

机构地区：[1]西安邮电学院计算机系,西安710061 [2]西安邮电学院应用数理系,西安710061

出　　处：《计算机工程与应用》2008年第16期77-79,共3页Computer Engineering and Applications

基　　金：陕西省教育厅自然科学研究项目(the Natural Science Research Project of Department of Education of Shaanxi Province,China under Grant No.07JK376);陕西省自然科学基金(the Natural Science Foundation of Shaanxi Province of China under Grant No.2007A21);西安市科技创新支撑项目(No.YF07024)

摘　　要：针对软件可靠性分配问题中求解全局最优解的困难,在保证系统开发费用最低的前提条件下,将可靠性指标分配到每个模块中,并利用一种新的智能优化算法——社会认知算法来搜索模型的最优解。实验结果表明了社会认知算法在求解软件可靠性分配问题中的有效性。In accordance with difficulties of achieving the optimal result in the problem of the software reliability allocation,on the premise that the system can minimize the cost of system,reliability targets are allocated to each model.At the same time, Social Cognitive Optimization,a new intelligent optimization algorithm,is introduced to achieve the optimal result for the problem. The experiment results manifest that Social Cognitive Optimization is effective on solving the software reliability allocation problems.

关 键 词：社会认知算法 可靠性分配 智能优化算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]