Differential evolution algorithm for designing optimal adaptive linear combiners

Karaboga N., Koyuncu C. A.

AI 2005: ADVANCES IN ARTIFICIAL INTELLIGENCE, vol.3809, pp.1063-1067, 2005 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 3809
  • Publication Date: 2005
  • Journal Name: AI 2005: ADVANCES IN ARTIFICIAL INTELLIGENCE
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED)
  • Page Numbers: pp.1063-1067
  • Erciyes University Affiliated: Yes

Abstract

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.