A NEW APPROXIMATION BASED ON THE DIFFERENTIAL EVOLUTION ALGORITHM FOR THE GAUSSIAN Q-FUNCTION
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, cilt.8, ss.7095-7102, 2012 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 8
- Basım Tarihi: 2012
- Dergi Adı: INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.7095-7102
- Anahtar Kelimeler: Digital communications, Gaussian Q-function, Differential evolution, Absolute relative error
- Erciyes Üniversitesi Adresli: Evet
Özet
This paper presents a new approach that combines two well-known approximations in order to improve the approximation accuracy of the Gaussian Q-function. Differential evolution, which can be considered as a simple and efficient evolutionary algorithm for optimizing real-valued optimization problems, is applied to estimate the parameters of the new approximation. The results produced by the presented approximation are compared with some other Q-function approaches from the literature. It is shown that the new approximation outperforms previously reported approximations and can provide an accurate representation of the Gaussian Q-function, especially for small arguments.