Evolutionary System for Analog Test Frequencies Selection with Fuzzy Initialization
Tomasz Golonek, Damian E. Grzechca, Jerzy Rutkowski · 2007
The evolutionary technique of test frequencies selection for analog sinusoidal stimuli set is described in this paper. The proposed method bases on ambiguity set concept and evolutionary algorithm that has been executed for fuzzy and weighted fitness functions. The proposed approach to analog testing allows to achieve high efficiency for practical circuits under test with tolerance dispersions and test inaccuracies presence. Optimization system has been implemented with the use of the MicroBlaze embedded processor on Virtex4 ML-401 platform.