A two-stage genetic algorithm method for optimization the ΣΔ modulators

A two-stage optimization approach for the design of Sigma Delta Modulators using Genetic Algorithm has been proposed. The conversion speed and consumed CPU time of the design process have been reduced significantly by utilizing the combination of an equation-based and a high-level simulation-based genetic algorithm. The proper circuit specifications of the modulator are obtained by using a new idea called gene-dependent fitness function which takes some circuit-level non-idealities into account in the evaluation of the cost function. This significantly reduces the time-consuming circuit simulations and transient analysis.