基于CA-IA-PSO算法的数字集成电路测试图生成

Zhang Jiali, Zhang Lin, Yang Yun, Niu Tian-lin, Zhang Long, X. Xiaodong
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引用次数: 2

摘要

为了提高在进化过程中摆脱局部极值点和种群多样性的能力,将IA算法的免疫机制引入到粒子群算法中,形成IA-PSO算法。为了提高故障率和缩短测试模式生成时间,将CA算法引入到IA-PSO算法中,形成CAIA-PSO算法。最后,采用单卡故障并采用不同算法对数字集成电路测试图生成进行了仿真实验,实验结果表明,CA-IA-PSO算法能够更实际、更高效地解决测试图生成问题,尤其适用于规模较大的数字集成电路。
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The Test Pattern Generation for Digital Integrated Circuits Based on CA-IA-PSO Algorithm
In order to improve the ability to get rid of partial extreme spot and the diversity of population in evolution, the immunity mechanism of IA algorithm is imported into PSO algorithm to form IA-PSO algorithm. For the purpose of raising fault rate and shortening test pattern generation time, CA algorithm is imported into IA-PSO algorithm to form CAIA-PSO algorithm. Finally, adopting single stuck-at fault and using different algorithms to the simulation experiment of test pattern generation for digital integrated circuits, the result of the experiment is that CA-IA-PSO algorithm can solve the problem of test pattern generation more practically and efficiently, especially the bigger digital integrated circuits.
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