A Novel Genetic Programming Approach for Frequency-dependent Modeling
Created by W.Langdon from
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- @Article{RahimiPordanjani:2012:ieeeTEC,
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author = "Iraj {Rahimi Pordanjani} and
Hooman {Erfanian Mazin} and Wilsun Xu",
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title = "A Novel Genetic Programming Approach for
Frequency-dependent Modeling",
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journal = "IEEE Transactions on Evolutionary Computation",
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year = "2013",
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volume = "17",
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number = "3",
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pages = "353--367",
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month = jun,
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keywords = "genetic algorithms, genetic programming, Equivalent
electric circuit, Frequency-dependent modelling,
Frequency-domain response, Rational approximation",
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URL = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6194300",
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DOI = "doi:10.1109/TEVC.2012.2197400",
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ISSN = "1089-778X",
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size = "15 pages",
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abstract = "Frequency-dependent modelling of devices and systems
is a common practice in several fields such as power
systems, microwave systems, and electronic systems. The
modelling process usually involves converting the
tabulated frequency-response data into a compact
equivalent circuit model. The main drawback of the
currently existing methods such as vector fitting is
that the obtained model is often non-passive, leading
to unstable simulations. In order to overcome this
problem, this paper proposes a Genetic Programming (GP)
approach to generate equivalent circuits with
guaranteed passivity. The proposed method starts with a
non-optimal initial equivalent circuit. Both the
elements and topology of this circuit are then evolved
by the proposed GP-based method, and an accurate
equivalent circuit is obtained. Key ideas and detailed
algorithms are presented in this paper. Finally, the
performance of the proposed method is verified by using
different case studies.",
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notes = "TEVC-00352-2010.R2 Also known as \cite{6194300}",
- }
Genetic Programming entries for
Iraj Rahimi Pordanjani
Hooman Erfanian Mazin
Wilsun Xu
Citations