摘要
针对软件可靠性分配中存在多个优化目标的问题,提出了一种新的模糊多目标分配模型,并采用量子粒子群优化算法求解该模型。将软件可靠性和成本作为模糊目标函数,通过三角形隶属函数对模糊目标进行处理,将优化后的量子粒子群算法用来求解软件模糊可靠性分配模型。实验结果验证了文章提出的软件模糊可靠性分配模型是有效的,多目标的Pareto最优解为可靠性和成本之间的决策提供了依据。
A new fuzzy multi-objective software reliability allocation model is established, and a quantum particle swarm optimization algorithm is proposed to solve multi-objective software reliability allocation problem. As a fuzzy target function, software reliability and cost are regarded as a triangu- lar fuzzy member, quantum particle swarm optimization algorithm is applied. Experimental results show that the proposed software fuzzy reliability allocation is effective, multi-objective Pareto optimal solution can help decision makers decide between software reliability and cost.
出处
《信息工程大学学报》
2013年第1期124-128,共5页
Journal of Information Engineering University
关键词
可靠性分配
量子粒子群算法
PARETO最优解
模糊可靠性
多目标优化
reliability allocation
quantum particle swarm algorithm
pareto optimal solution
fuzzyreliability
multi-objective optimization
