Directed Genetic algorithms for OTFT model parameter extraction

An improvement on the parameter extraction technique for compact device models based on Genetic algorithms is presented. The use of fuzzy logic based rules to direct the evolution of the genetic algorithm enhances the convergence and the physical meaning of the parameters is preserved. Another advantage of this method is that the fuzzy rules can be applied just to a reduced set of model parameters. The parameter extraction procedure is applied to find the parameters in an OTFT model from a set of experimental data. Agreement between measured and modeled DC I-V characteristics is excellent. Moreover, the parameter values obtained with this procedure agree remarkably with the ones obtained by a direct extraction method.