Proceedings ED&TC European Design and Test Conference 1996
DOI: 10.1109/edtc.1996.494328
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Advanced techniques for GA-based sequential ATPGs

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Cited by 37 publications
(13 citation statements)
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“…Another class of gate-level approaches, called simulation-based approaches [Seshu and Freeman 1962;Cheng and Agrawal 1989;Saab et al 1992;Prinetto et al 1994;Nitta et al 1985;Srinivas and Patnaik 1993;Pomeranz and Reddy 1995;Corno et al 1996], is enhanced from a logic simulator or a fault simulator. These approaches are combinations of simulation, and cost function guidance.…”
Section: Simulation-based Approachesmentioning
confidence: 99%
“…Another class of gate-level approaches, called simulation-based approaches [Seshu and Freeman 1962;Cheng and Agrawal 1989;Saab et al 1992;Prinetto et al 1994;Nitta et al 1985;Srinivas and Patnaik 1993;Pomeranz and Reddy 1995;Corno et al 1996], is enhanced from a logic simulator or a fault simulator. These approaches are combinations of simulation, and cost function guidance.…”
Section: Simulation-based Approachesmentioning
confidence: 99%
“…Evolutionary Computation techniques, such as Genetic Algorithms (GAs) [8], have been proposed in the last years as a valuable solution to improve the performance of simulationbased ATPGs for sequential circuits [6] [14] [15] [16] [17]. In fact, experimental results show that evolutionary techniques can be effectively adopted to tame randomness and exploit it in the ATPG process.…”
Section: Primary Outputsmentioning
confidence: 99%
“…Some of the advanced techniques recently introduced in GATrO and described in [6] can be usefully introduced in SAARA, too. As a future work we are also planning to eliminate the randomness in phase 1 by loading the same pattern from the end of the preceding phase 2.…”
Section: Conclusion and Future W O R Kmentioning
confidence: 99%
“…GA has been considered as a possible approach to solve ATPG for sequential circuits in [1], [2] and [3]. The power of GA based ATPG mainly depends on the objective function which gives the fitness of a sequence.…”
Section: Introductionmentioning
confidence: 99%