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An elitist multiobjective optimization methodology, based on genetic programming, is suggested in the following, as means of identifying complex nonlinear systems. The structure and parameters of the nonlinear models are selected simultaneously as result of the conjoint usage of customized genetic operators and of a deterministic parameter computation procedure. This symbiosis is configured to efficiently...
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