Coefficient estimation of IIR filter by a multiple crossover genetic algorithm

作     者：Chang, Wei-Der 

作者机构：Shu Te Univ Dept Comp & Commun Kaohsiung 824 Taiwan 

出 版 物：《COMPUTERS & MATHEMATICS WITH APPLICATIONS》 (计算机与数学及其应用)

年 卷 期：2006年第51卷第9-10期

页      面：1437-1444页

核心收录：

学科分类：08[工学] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：IIR filters coefficients estimation multiple crossover real-coded genetic algorithm optimization 

摘      要：This paper proposes an improved genetic algorithm (GA) with multiple crossovers to estimate the system coefficients for the infinite impulse response (IIR) digital filter. In the traditional crossover operation, it needs two parent chromosomes to achieve the crossover work, whereas in this paper the proposed algorithm selects three chromosomes for crossover in order to generate more promising offspring toward the problem solution. Each of unknown IIR coefficients is called a gene and the collection of genes forms a chromosome. A population of chromosomes is evolved by the genetic operations of reproduction, multiple crossover, and mutation. Finally, two illustrative examples including the band pass and band stop IIR filters are demonstrated to verify the proposed method. (c) 2006 Elsevier Ltd. All rights reserved.