DocumentCode
2989337
Title
Optimal design on CMOS operational amplifier with QPSO algorithm
Author
Wu, Rui ; Wang, Jian-chao ; Xia, Ke-wen ; Yang, Rui-xia
Author_Institution
Sch. of Inf. Eng., Hebei Univ. of Technol., Tianjin
Volume
2
fYear
2008
fDate
30-31 Aug. 2008
Firstpage
821
Lastpage
825
Abstract
On the optimal design of CMOS operational amplifier, it is very difficult to improve the circuitpsilas performance by manual design. So a quantum-behaved particle swarm optimization algorithm (QPSO) based on the swarm intelligent technology is presented to get the global optimal solution. This algorithm is mainly to optimize the position of the particle instead of solve the circuit performance analytic equation. First of all, initialize the position and velocity of particles, then renew iteratively, until to search the global optimum. The example result proves it can improve the circuitpsilas performance of the CMOS operational amplifier, and the quantum-behaved PSO algorithm is superior to genetic algorithm and PSO algorithm in precision, velocity of convergence.
Keywords
CMOS integrated circuits; genetic algorithms; operational amplifiers; particle swarm optimisation; CMOS operational amplifier; QPSO algorithm; circuit performance analytic equation; optimal design; quantum-behaved particle swarm optimization algorithm; swarm intelligent technology; Algorithm design and analysis; CMOS technology; Circuit analysis; Circuit optimization; Equations; Iterative algorithms; Manuals; Operational amplifiers; Particle swarm optimization; Performance analysis; CMOS Operational Amplifier; Circuit Performance Analytic equation; Optimal design; quantum-behaved PSO algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Analysis and Pattern Recognition, 2008. ICWAPR '08. International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-2238-8
Electronic_ISBN
978-1-4244-2239-5
Type
conf
DOI
10.1109/ICWAPR.2008.4635890
Filename
4635890
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