Multiobjective FET modeling using particle swarm optimization based on scattering parameters with Pareto optimal analysis

Filiz GÜNEŞ; Ufuk ÖZKAYA

Makale detayları

Multiobjective FET modeling using particle swarm optimization based on scattering parameters with Pareto optimal analysis

Yazarlar:

Filiz GÜNEŞ | Ufuk ÖZKAYA

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2012 Vol.20 Issue 3, pp.353-365

Belge Tipi:

Makale

Yayın Tarihi:

2/2012

Belge Dili:

Türkçe

Document ID (Org No.):

2000743592

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

In this paper, design-oriented field effect transistor (FET)  models are produced.  For this purpose, FET modeling is put forward as  a constrained, multiobjective optimization problem.  Two novel methods  for multiobjective optimization are employed: particle swarm  optimization (PSO) uses the single-objective function, which gathers  all of the objectives as aggregating functions; and the nondominated  sorting genetic algorithm-II (NSGA-II) sorts all of the trade-off  solutions on the Pareto frontiers.  The PSO solution is compared with  the Pareto optimum solutions in the biobjective plane and the success  of the first method is verified.  Furthermore, the resulting FET  models are compared with similar FET models from the literature, and  thus a comparative study is put forward with respect to the success of  the optimization algorithms and the performances and utilizations of  the models in the amplification circuits.

 

In this paper, design-oriented field effect transistor (FET)  models are produced.  For this purpose, FET modeling is put forward as  a constrained, multiobjective optimization problem.  Two novel methods  for multiobjective optimization are employed: particle swarm  optimization (PSO) uses the single-objective function, which gathers  all of the objectives as aggregating functions; and the nondominated  sorting genetic algorithm-II (NSGA-II) sorts all of the trade-off  solutions on the Pareto frontiers.  The PSO solution is compared with  the Pareto optimum solutions in the biobjective plane and the success  of the first method is verified.  Furthermore, the resulting FET  models are compared with similar FET models from the literature, and  thus a comparative study is put forward with respect to the success of  the optimization algorithms and the performances and utilizations of  the models in the amplification circuits.

Makale detayları

Multiobjective FET modeling using particle swarm optimization based on scattering parameters with Pareto optimal analysis

Yazarlar: Filiz GÜNEŞ | Ufuk ÖZKAYA

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2012 Vol.20 Issue 3, pp.353-365

Belge Tipi: Makale

Yayın Tarihi: 2/2012

Belge Dili: Türkçe

Document ID (Org No.): 2000743592

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Filiz GÜNEŞ | Ufuk ÖZKAYA

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2012 Vol.20 Issue 3, pp.353-365

Belge Tipi:

Makale

Yayın Tarihi:

2/2012

Belge Dili:

Türkçe

Document ID (Org No.):

2000743592

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632