Design centering of analog circuit's component values using parallel genetic algorithms

被引：0
|
作者：
Khalifa, YMA [1 ]
机构：
[1] Univ N Dakota, Dept Elect Engn, Grand Forks, ND 58202 USA
来源：
ICECS 2000: 7TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS & SYSTEMS, VOLS I AND II | 2000年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Genetic Algorithms technique for analog circuit design automation tool has previously been described. This paper shows preliminary results for the application of parallel genetic algorithms to solve the problem of design centering by means of providing an estimate of the feasible region of a circuit design problem. This is achieved by performing a two-stage GA search. In the first stage a general search is conducted over the whole solution space to identify regions of feasibility. While in the second stage the search focuses on these estimated feasible regions.
引用
收藏
页码：971 / 974
页数：4
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