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HYBRID CODED GENETIC ALGORITHM TOWARDS DETERMINING SMOOTH TRANSITION AUTOREGRESSIVE MODELS

Yıl 2016, Sayı 24 (2016), 10 - 29, 29.04.2016

Öz

In this paper, the specification of the smooth transition autoregressive (STAR) models as an optimization
problem has been handled with genetic algorithms. In this context a hybrid-coded genetic algorithm is
used. The success of the genetic algorithm based approach is evaluated via a benchmark STAR model
determined by conventional method. Better-fitted models than the benchmark model are obtained with the
proposed approach.

Kaynakça

  • Balcombe, K. G. (2005). Model Selection Using Information Criteria and Genetic Algorithms. Computational Economics, 25(3), 207-228.
  • Baragona, R., Battaglia, F., & Cucina, D. (2004). Fitting piecewise linear threshold autoregressive models by means

DÜZGÜN GEÇİŞ OTOREGRESİF MODELLERİN BELİRLENMESİNE YÖNELİK MELEZ KODLAMALI GENETİK ALGORİTMA

Yıl 2016, Sayı 24 (2016), 10 - 29, 29.04.2016

Öz

Bu makalede, düzgün geçiş otoregresif (STAR) modellerin belirlenmesi süreci bir optimizasyon problemi olarak genetik algoritmalar ile ele alınmıştır. Bu bağlamda melez kodlamalı bir genetik algoritma kullanılmıştır. Genetik algoritma tabanlı yaklaşımın başarısı, geleneksel yöntemle belirlenen bir referans STAR modeli üzerinden değerlendirilmiştir. Sunulan yaklaşım ile referans modelden daha iyi uyuma sahip modeller elde edilmiştir.

Kaynakça

  • Balcombe, K. G. (2005). Model Selection Using Information Criteria and Genetic Algorithms. Computational Economics, 25(3), 207-228.
  • Baragona, R., Battaglia, F., & Cucina, D. (2004). Fitting piecewise linear threshold autoregressive models by means
Toplam 2 adet kaynakça vardır.

Ayrıntılar

Bölüm Makaleler
Yazarlar

Serkan Taştan

Nilgün Çil

Yayımlanma Tarihi 29 Nisan 2016
Yayımlandığı Sayı Yıl 2016 Sayı 24 (2016)

Kaynak Göster

APA Taştan, S., & Çil, N. (2016). HYBRID CODED GENETIC ALGORITHM TOWARDS DETERMINING SMOOTH TRANSITION AUTOREGRESSIVE MODELS. Istanbul University Econometrics and Statistics E-Journal(24), 10-29.
AMA Taştan S, Çil N. HYBRID CODED GENETIC ALGORITHM TOWARDS DETERMINING SMOOTH TRANSITION AUTOREGRESSIVE MODELS. Istanbul University Econometrics and Statistics e-Journal. Nisan 2016;(24):10-29.
Chicago Taştan, Serkan, ve Nilgün Çil. “HYBRID CODED GENETIC ALGORITHM TOWARDS DETERMINING SMOOTH TRANSITION AUTOREGRESSIVE MODELS”. Istanbul University Econometrics and Statistics E-Journal, sy. 24 (Nisan 2016): 10-29.
EndNote Taştan S, Çil N (01 Nisan 2016) HYBRID CODED GENETIC ALGORITHM TOWARDS DETERMINING SMOOTH TRANSITION AUTOREGRESSIVE MODELS. Istanbul University Econometrics and Statistics e-Journal 24 10–29.
IEEE S. Taştan ve N. Çil, “HYBRID CODED GENETIC ALGORITHM TOWARDS DETERMINING SMOOTH TRANSITION AUTOREGRESSIVE MODELS”, Istanbul University Econometrics and Statistics e-Journal, sy. 24, ss. 10–29, Nisan 2016.
ISNAD Taştan, Serkan - Çil, Nilgün. “HYBRID CODED GENETIC ALGORITHM TOWARDS DETERMINING SMOOTH TRANSITION AUTOREGRESSIVE MODELS”. Istanbul University Econometrics and Statistics e-Journal 24 (Nisan 2016), 10-29.
JAMA Taştan S, Çil N. HYBRID CODED GENETIC ALGORITHM TOWARDS DETERMINING SMOOTH TRANSITION AUTOREGRESSIVE MODELS. Istanbul University Econometrics and Statistics e-Journal. 2016;:10–29.
MLA Taştan, Serkan ve Nilgün Çil. “HYBRID CODED GENETIC ALGORITHM TOWARDS DETERMINING SMOOTH TRANSITION AUTOREGRESSIVE MODELS”. Istanbul University Econometrics and Statistics E-Journal, sy. 24, 2016, ss. 10-29.
Vancouver Taştan S, Çil N. HYBRID CODED GENETIC ALGORITHM TOWARDS DETERMINING SMOOTH TRANSITION AUTOREGRESSIVE MODELS. Istanbul University Econometrics and Statistics e-Journal. 2016(24):10-29.