Elite Based Multiobjective Genetic Programming in Nonlinear Systems Identification

Elite Based Multiobjective Genetic Programming in Nonlinear Systems Identification

The nonlinear systems identification method described in the paper is based on genetic programming, a robust tool, able to ensure the simultaneous selection of model structure and parameters. The assessment of potential solutions is done via a multiobjective approach, making use of both accuracy and...

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Bibliographic Details
Main Authors: PATELLI, A., FERARIU, L.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2010-02-01
Series:Advances in Electrical and Computer Engineering
Subjects:
evolutionary algorithms
genetic programming
multiobjective optimization
nonlinear system identification
Online Access:http://dx.doi.org/10.4316/AECE.2010.01017

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