Program Construction in the Context of Evolutionary Computation
Many optimization algorithms that imitate certain principles of nature have been proven useful in various application domains. The following paper shows how Evolutionary Algorithm (EA) can be applied to model (program) construction for solving the discrete time system identification problem. Non-linear system identification is used as an example problem domain for studying possibilities of EA to discover the relationship between parameters in response to a given set of inputs.
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