DocumentCode :
3337024
Title :
Multi objective optimization of a LNA using genetic algorithm based on NSGA-II
Author :
Fallahpour, M.B. ; Hemmati, K.D. ; Pourmohammad, Ali ; Golmakani, Abbas
Author_Institution :
Young Researcher Club, Lahijan Islamic Azad Univ., Mashhad, Iran
fYear :
2011
fDate :
17-19 July 2011
Firstpage :
1
Lastpage :
4
Abstract :
In this paper an accurate method is presented for determining of the device sizes in a RF circuit based on genetic algorithm (GA). HSPICE RF simulation is used for evaluating of the fitness of the circuit specifications per every iteration of the GA. Also an example for a LNA is presented for evaluating of non-dominated sorting genetic algorithm (NSGA-II) as a method of multi objective genetic algorithm optimization. Simulation results confirm efficiency of the GA for determining of the devices sizes and optimization in a RF circuit.
Keywords :
SPICE; genetic algorithms; low noise amplifiers; HSPICE RF simulation; LNA; NSGA-II; RF circuit; circuit specifications; multi objective optimization; nondominated sorting genetic algorithm; CMOS integrated circuits; Genetic algorithms; Integrated circuit modeling; Noise; Noise figure; Optimization; Radio frequency; Genetic Algorithm (GA); LNA; NSGA II;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering and Informatics (ICEEI), 2011 International Conference on
Conference_Location :
Bandung
ISSN :
2155-6822
Print_ISBN :
978-1-4577-0753-7
Type :
conf
DOI :
10.1109/ICEEI.2011.6021675
Filename :
6021675
Link To Document :
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