摘要
针对软件可靠性分配中不易求解全局最优解这一问题,将可靠性指标分配到每个模块中,并利用改进的粒子群优化算法来搜索模型的最优解.实验结果表明,改进的粒子群优化算法在求解软件可靠性分配问题时的效果优于遗传算法等其他智能优化算法.
In accordance with difficulties of achieving the optimal result in the problem of the software reliability allocation,reliability targets are allocated to each model,and utilizing the improved particle swarm optimization algorithm to achieve the optimal result for the problem in this paper.Experiment has proved that this improved version of particle swarm optimization algorithm is more effective on solving the software reliability allocation problems than other intelligent optimization algorithms such as genetic algorithm.
出处
《微电子学与计算机》
CSCD
北大核心
2011年第12期68-71,共4页
Microelectronics & Computer
基金
国家自然科学基金项目"基于群体智能的组合软件测试优化关键问题研究"(61050003)
陕西省科技攻关计划项目"嵌入式软件智能组合测试平台"(2009K08-26)
陕西省教育厅自然科学基金项目"基于群体智能的组合测试方法研究"(09JK727)
关键词
粒子群优化算法
可靠性分配
智能优化算法
particle swarm optimization
reliability allocation
intelligent optimization algorithms
