Interactive Evolutionary Computation in System Identification
نویسندگان
چکیده
In practical system identification it is often desirable to introduce additional objectives and constraints into the identification problem. In some cases, these objectives and constraints are often non-commensurable and the objective functions are explicitly/mathematically not available. In this paper, Interactive Evolutionary Computation (IEC) is used to effectively handle these identification problems. IEC is an evolutionary algorithm whose fitness function is provided by human users. The proposed approach has been implemented in MATLAB (EAsy-IEC Toolbox) and applied to the identification of a pilot batch reactor. The results show that IEC is an efficient and comfortable method to incorporate the priori knowledge of the user into a user-guided identification of complex systems.
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