Automatic design of analog integrated circuit based on multi-objective optimization
Wei Mao, Jiahao Wei, Jing Wan · 2020
In this work, we have explored the automatic design of an operational amplifier using multi-objective optimization technique. The design parameters of the circuit, including transistor sizes, bias current and load capacitance, have been optimized by genetic algorithm, in order to achieve the best compromise (Pareto-Front) between performances, such as Gain, cut-off frequency, quiescent current and phase. Optimizations with two and three objectives have been demonstrated successfully. Various population size and optimization algorithms have been used in our work and compared systematically.