Title :
GA-optimiation to damp the resonance of large power/ground planes, combined with Adaptive Frequency Sampling
Author :
Kahng, Sungtek ; Chung, Tae-Kyung ; Kim, Hyeong-Seok
Author_Institution :
Dept. of Info. & Telecomm. Eng., Univ. of Incheon, Incheon, South Korea
Abstract :
The Genetic Algorithm (GA) is suggested to be combined with the Adaptive Frequency Sampling (AFS) technique to find the decoupling capacitors for suppressing the resonances of the large power/ground plane (PGP)s. In more detail, the AFS is used to characterize each of the divided regions of the PGPs and compound of the AFS results are used to evaluate the fitness or cost function in each GA iterative step.
Keywords :
genetic algorithms; printed circuit design; GA-optimisation; adaptive frequency sampling; decoupling capacitor; large power-ground plane; Analytical models; Capacitors; Circuit noise; Cost function; Frequency response; Genetics; Impedance; Resonance; Sampling methods; Telecommunications;
Conference_Titel :
Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-7059-4
DOI :
10.1109/CEFC.2010.5481287
