Elitist nondominated sorting genetic algorithm based RF IC optimizer 

 Abstract

 An optimization tool for radio frequency integrated circuits (RFICs) based on an elitist nondominated sorting genetic 
 algorithm is, introduced. It casts RF circuit synthesis as a multi-objective optimization problem and produces multiple 
 solutions along the Pareto optimal front. Optimization is followed by sensitivity assessment wherein Monte Carlo 
 simulations are performed for the Pareto points with respect to process, voltage, and temperature variations. The tool 
 is validated in the synthesis of a 5.2-GHz direct-conversion receiver front-end that includes a common-gate differential 
 low-noise amplifier, I/Q down-conversion mixers, and a quadrature voltage-controlled oscillator in a 250-nm SiGe BiCMOS process.