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The derivation of minimal test sets for combinational logic circuits using genetic algorithms

机译:基于遗传算法的组合逻辑电路最小测试集的推导

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To reduce the post-production cost of testing digital circuits, the derivation of minimal test sets is an important issue. The technique presented here applies a genetic algorithm to find minimal or near minimal test sets. The algorithm aims to minimise test sets that have been previously generated by an ATPG system and as such has been designed as a post-processor. The algorithm has been applied to a family of RISC (Reduced Instruction Set Computer) processors and a selection of ISCAS-85 benchmark circuits.
机译:为了降低测试数字电路的后生产成本,最小测试集的推导是一个重要问题。 呈现的技术适用于遗传算法,以找到最小或接近最小的测试集。 该算法旨在最大限度地减少先前由ATPG系统生成的测试集,并且如此被设计为后处理器。 该算法已应用于RISC(减少指令集计算机)处理器的系列和选择ISCAS-85基准电路。

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