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The genetic algorithm can be used directly on a model in order to estimate its parameters. However, the time of calculus can be not reasonable and its results can be conditioned by the sensitivity of the measured signal to some parameters. In this paper, a novel procedure combining the classical input-output-parameter approach and the genetic algorithm allows to overcome this problem. The classical...
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