| 基于改进的混合基因算法的FIR数字滤波器设计 |
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| 引用本文： | 胡玉兰,苑薇薇,王雷.基于改进的混合基因算法的FIR数字滤波器设计[J].数据采集与处理,2006,21(2):222-224. |
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| 作者姓名： | 胡玉兰 苑薇薇 王雷 |
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| 作者单位： | 沈阳理工大学信息科学与工程学院,沈阳,110168 |
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| 基金项目： | 高比容电子铝箔的研究开发与应用项目;国家高技术研究发展计划(863计划) |
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| 摘 要： | 研究了利用模拟退火遗传算法来设计FIR数字滤波器的方法。针对算法在寻优过程中，易陷入局部最优解和搜索缓慢的特点提出了改进方法，该方法充分利用了遗传算法的并行化抽样过程和模拟退火算法中控制算法的收敛性，不仅优化了时间性能，避免出现收敛的“早熟”现象，而且在一定程度上提高了算法的搜索性能。最后结合FIR低通数字滤波器的设计给出了仿真结果。
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| 关 键 词： | 模拟退火 遗传算法 FIR滤波器 大变异 自适应变异 |
| 文章编号： | 1004-9037（2006）02-0222-03 |
| 收稿时间： | 2004-11-01 |
| 修稿时间： | 2005-06-09 |
FIR Filter Design by Improved Genetic Algorithm Based on Simulated Annealing Method |
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| Hu Yulan,Yuan Weiwei,Wang Lei.FIR Filter Design by Improved Genetic Algorithm Based on Simulated Annealing Method[J].Journal of Data Acquisition & Processing,2006,21(2):222-224. |
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| Authors: | Hu Yulan Yuan Weiwei Wang Lei |
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| Affiliation: | Faculty of Information Science and Engineering, Shenyang Ligong University, Shenyang, 110168, China |
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| Abstract: | FIR filter is designed by the genetic algorithm based on the simulated annealing method. Aimed at the local optimization and the slow computational rate, two improved method are given. The method has fully used the genetic algorithms of parallel sampling process and the astringency of controls algorithms in the simulation annealing. It optimizes the time behavior and avoids precious phenomenon appearsed in restrains,thus improving the convergence efficiency. The simulation result of FIR filter designed by the improved genetic algorithm is given. |
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| Keywords: | simulated annealing genetic algorithm FIR filter big mutation adaptive mutation |
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