| 基于PSO-DE-CA的FIR滤波器设计 |
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| 引用本文： | 张旭珍,贾品贵,薛鹏骞.基于PSO-DE-CA的FIR滤波器设计[J].计算机工程,2011,37(23):183-185. |
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| 作者姓名： | 张旭珍 贾品贵 薛鹏骞 |
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| 作者单位： | 1. 华北科技学院电信系,北京,106101
2. 中国科学院自动化研究所,北京,100080 |
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| 摘 要： | 为优化有限脉冲响应(FIR)数字滤波器的设计，提出一种基于双种群的文化算法。种群空间分别按照粒子群优化和差分进化算法独立进化。信仰空间作为知识库，用于保存求解问题的群体经验。仿真实验结果表明，在设计FIR数字滤波器时，该算法具有较高的鲁棒性和较快的收敛速度，优化结果好于同类算法。
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| 关 键 词： | 文化算法 双种群 粒子群优化 差分进化 有限脉冲响应 数字滤波器 |
| 收稿时间： | 2011-05-12 |
Design of FIR Filter Based on PSO-DE-CA |
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| ZHANG Xu-zhen,JIA Pin-gui,XUE Peng-qian.Design of FIR Filter Based on PSO-DE-CA[J].Computer Engineering,2011,37(23):183-185. |
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| Authors: | ZHANG Xu-zhen JIA Pin-gui XUE Peng-qian |
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| Affiliation: | 1(1.Department of Telecommunication,North China Institute of Science and Technology,Beijing 106101,China;2.Institute of Automation,Chinese Academy of Sciences,Beijing 100080,China) |
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| Abstract: | A new cultural algorithm with double populations is proposed for designing Finite Impulse Response（FIR） digital filters.Two populations evolve independently according to Particle Swarm Optimization（PSO） algorithm 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 technique of multi-population.The computer simulations of FIR filter design indicate that the proposed algorithm is practicable and superior in terms of convergence speed and optimization effect compared with other algorithms. |
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| Keywords: | Cultural Algorithm（CA） double populations Particle Swarm Optimization（PSO） Differential Evolution（DE） Finite Impulse Response（FIR） digital filter |
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