| 粒子群算法与遗传算法设计四阶状态变量滤波器的比较 |
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| 引用本文： | 杨晓翠,李春菊,乔双.粒子群算法与遗传算法设计四阶状态变量滤波器的比较[J].吉林大学学报(理学版),2007,45(6):979-984. |
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| 作者姓名： | 杨晓翠 李春菊 乔双 |
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| 作者单位： | 1. 白城师范学院 物理系, 吉林省 白城 137000; 2. 东北师范大学 物理学院, 长春 130024 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | 用粒子群算法和遗传算法设计四阶状态变量滤波器, 并对两种算法得出的滤波器电路进行Pspice仿真及实际电路测试, 同时, 对两种算法得出的数据进行统计比较. 结果表明, 在平均收敛时间、 平均收敛效率和收敛精度上, 粒子群算法均明显优于基本遗传算法.
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| 关 键 词： | 粒子群算法 遗传算法 四阶状态变量滤波器 仿真 |
| 文章编号： | 1671-5489（2007）06-0979-06 |
| 收稿时间： | 2007-04-05 |
| 修稿时间： | 2007-04-05 |
Comparison between Particle Swarm Optimization and Genetic Algorithm in Four-order State Variable Filter's Design |
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| YANG Xiao-cui,LI Chun-ju,QIAO Shuang.Comparison between Particle Swarm Optimization and Genetic Algorithm in Four-order State Variable Filter''''s Design[J].Journal of Jilin University: Sci Ed,2007,45(6):979-984. |
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| Authors: | YANG Xiao-cui LI Chun-ju QIAO Shuang |
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| Institution: | 1. Department of Physics, Baicheng Normal College, Baicheng 137000, Jilin Province, China; 2. School of Physics, Northeast Normal University, Changchun 130024, China |
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| Abstract: | This paper introduces the design method of the four-order state variable filter with the particle swarm optimization and genetic algorithm. The evolution results were emulated via Pspice, and the actual electric circuit was tested. The statistical data were compared, the results indicate that the important indexes of average convergence generation and average convergence time are much better in particle swarm optimization than those in basic genetic algorithms. |
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| Keywords: | particle swarm optimization genetic algorithm four-order state variable filter emulation |
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