Optimal design on CMOS operational amplifier with QPSO algorithm
Rui Wu, Jianchao Wang, Kewen Xia, Ruixia Yang · 2008
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.