NDLI: Optimizing Method for Analog Circuit Design Using Adaptive Immune Genetic Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Haiqin Xu Yongsheng Ding
Copyright Year	2009
Abstract	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 multi-dimensional 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.
Starting Page	359
Ending Page	363
File Size	298136
Page Count	5
File Format	PDF
ISBN	9780769539324
e-ISBN	9781424454679
DOI	10.1109/FCST.2009.79
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Analog circuit Immune genetic Educational technology Analog circuits Evolutionary hardware design Design optimization Genetic algorithms Convergence Immune algorithm Genetic algorithm Textile technology Hardware Circuit synthesis Immune system
Content Type	Text
Resource Type	Article

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