摘要
针对当前模拟电路故障字典技术测点选择算法时间开销大和精度低的问题,提出一种使用人工免疫算法进行测点选择的方法.首先建立整数编码表并对模拟电路故障字典技术测点选择问题进行分析;然后将人工免疫算法与测点选择问题相结合.仿真实验表明,该方法在测点选择问题中不仅能准确地找到全局最优解,而且可有效减少时间开销.
In order to solve the problems of high time overhead and low accuracy in test point selection algorithms of analog circuit fault dictionary, an approach based on artificial immune algorithm（AIA） is proposed. Firstly, the integer- coded fanlt-wise table is established and the problem of test point selection is analysed. Then the AIA is applied to the test point selection problem. Finally, the simulation results in the test point selection show that the approach not only can find the global optimal solution, but also can reduce the cost of time.
出处
《控制与决策》
EI
CSCD
北大核心
2017年第5期925-929,共5页
Control and Decision
基金
四川省教育厅重点科研项目(13ZA0186)
关键词
模拟电路
故障字典技术
测点选择
人工免疫算法
analog circuit
fault dictionary technology
test point selection： artificial immune algorithm
