Summary
International Technical Conference on Circuits/Systems, Computers and Communications
2016
Session Number:W2-6
Session:
Number:W2-6-1
Evolutionary Stagnation Avoidance for Design of CSD Coefficient FIR Filters Using GA
Yuto Arie, Kenji Suyama ,
pp.823-826
Publication Date:2016/7/10
Online ISSN:2188-5079
Summary:
In this paper, a design method of Canonic Signed Digit (CSD) coefficient Finite Impulse Response (FIR) filters using Genetic Algorithm (GA) is discussed. When applying a general GA, a diversification of search is prevented because the individuals having similar genetic structure increase with increasing search. Therefore, an evolutionary stagnation often occurs. In the proposed method, multiple populations are used to promote the diversification and to avoid the evolutionary stagnation. Several design examples are shown to present the effectiveness of the proposed method.