数据采集与处理2016，Vol.31Issue(6)：1132-1140,9.
满足故障隔离率指标的测试序列优化差分进化算法
Sequential Fault Diagnosis with Isolation Rate Requirement Using Differential Evolution Algorithm
摘要
Abstract
The optimal test sequence design for fault diagnosis is critical to NP‐complete problem .An im‐proved differential evolution (DE) algorithm with additional inertial velocity item is proposed to solve the optimal test sequence problem (OTP) in complicated electronic system .The proposed inertial velocity differential evolution (IVDE) algorithm is constructed based on adaptive differential evolution algorithm . IVDE ,combined with a new individual fitness function ,optimizes the test sequence sets with the index fault isolation rate(FIR)satisfied in top‐down to generate diagnostic decision tree and decrease the test sets and the cost test .Simulation results show that IVDE algorithm can cut down the test cost with the satisfied FIR .Compared with the other algorithm such as particle swarm optimizer (PSO)and genetic al‐gorithm(GA) ,IVDE can get better solution to OTP .关键词
差分进化/进化计算/故障隔离率/测试性Key words
differential evolution/evolutionary computation/fault isolation rate/testability分类
信息技术与安全科学引用本文复制引用
邱晓红,李渤,李靖..满足故障隔离率指标的测试序列优化差分进化算法[J].数据采集与处理,2016,31(6):1132-1140,9.基金项目
江西省自然科学基金（20132BAB201044）资助项目；江西省高等学校科技落地计划（KJLD12071）资助项目。 （）
