Differential evolution algorithm for designing optimal adaptive linear combiners

KARABOĞA N., Koyuncu C. A.

18th Australian Joint Conference on Artificial Intelligence, AI 2005: Advances in Artificial Intelligence, Sydney, Avustralya, 5 - 09 Aralık 2005, cilt.3809 LNAI, ss.1063-1067 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 3809 LNAI
  • Doi Numarası: 10.1007/11589990_141
  • Basıldığı Şehir: Sydney
  • Basıldığı Ülke: Avustralya
  • Sayfa Sayıları: ss.1063-1067
  • Erciyes Üniversitesi Adresli: Evet

Özet

This paper presents the application of Differential Evolution (DE), an Evolutionary Computation method, for the optimization of adaptive FIR filter weights. This method is robust and easy to use and requires a few control variables. Since the algorithm uses differential property, it has a good convergence speed and also quite robust in the case of noise due to parallel structure. In the simulation study three well-known error functions are used to test the performance of proposed method in the Adaptive Linear Combiner (ALC) design. © Springer-Verlag Berlin Heidelberg 2005.