A New Cultural Algorithm with Double Populations for IIR Digital Filter Design

被引：0
|
作者：
Zhang, Xuzhen [1 ]
Guo, Haiwen [1 ]
机构：
[1] N China Inst Sci & Technol, Dept Elect Informat, Yanjiao E Of Beijing, Peoples R China
来源：
2011 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND CONTROL (ICECC) | 2011年
关键词：
cultural algorithm (CA); double populations; particle swarm optimization (PSO); differential evolution (DE); infinite impulse response (IIR); digital filters design;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new cultural algorithm (CA) with double populations is proposed for designing infinite impulse response (IIR) digital filters. Two populations evolve independently according to particle swarm optimization (PSO) and differential evolution (DE) algorithm, respectively. Belief space plays the role of knowledge link in mutual cooperation and promotion between populations. This algorithm provides a new way for the co-evolution of multi-population. The computer simulations of IIR filter design indicate that the proposed algorithm is practicable and superior in terms of convergence speed and optimization effect compared with other algorithms.
引用
收藏
页码：1236 / 1239
页数：4
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