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
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;
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
DOI :
10.1109/ICWAPR.2008.4635890