Differential evolution algorithm for designing optimal adaptive linear combiners

Authors:
Nurhan Karaboga;Canan Aslihan Koyuncu
Affiliations:
Department of Electric Electronics Engineering, Erciyes University, Melikgazi, Kayseri, Turkey;Department of Electric Electronics Engineering, Erciyes University, Melikgazi, Kayseri, Turkey
Venue:
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Year:
2005

Citing 3
Cited 0

An introduction to differential evolution

New ideas in optimization
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces

Journal of Global Optimization
Digital IIR filter design using differential evolution algorithm

EURASIP Journal on Applied Signal Processing

Quantified Score

Hi-index	0.00

Visualization

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.