Optimizing method for analog circuit design using adaptive immune genetic algorithm

被引：13
|
作者：
Xu, Haiqin [1 ]
Ding, Yongsheng [2 ]
机构：
[1] Donghua Univ, Coll Informat Sci & Technol, Shanghai, Peoples R China
[2] Donghua Univ, Coll Informat Sci & Technol, Minist Educ, Engn Res Ctr Digitized Text & Fash Technol, Shanghai, Peoples R China
来源：
FCST 2009: PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON FRONTIER OF COMPUTER SCIENCE AND TECHNOLOGY | 2009年
关键词：
Analog circuit; Evolutionary hardware design; Immune geneetic; Genetic algorithm; Immune algorithm;
D O I：
10.1109/FCST.2009.79
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The design of an analog circuit is so complex that much time is required. To improve the speed and efficiency of evolutionary hardware design, this paper presented an adaptive immune genetic Algorithm (AIGA). The optimization of the analog circuit is the optimization of multi-dimensional parameters, and the trade-off of all parameters. The genetic algorithm is suitable for the optimization of the multidimensional parameters and the immune algorithm is suitable for the improvement of diversity. So AIGA can improve the searching ability, adaptability and the convergence speed. As an example, the optimization of parameters of a low-pass filter is presented. From simulation results, we confirm that the proposed method is suitable for the optimizing of the analog circuit.
引用
收藏
页码：359 / +
页数：3
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