A genetic algorithm-based multiobjective optimization for analog circuit design

Abstract

Multiple, often conflicting objectives are specific to analog design. This paper presents a multiobjective optimization algorithm based on GA for design optimization of analog circuits. The fitness of each individual in the population is determined using a multiobjective ranking method. The algorithm found a set of feasible solutions on the Pareto front. Thus, the circuit designers can explore more possible solutions, choosing the final one according to further preferences/constraints. The proposed algorithm was shown to produce good solutions, in an efficient manner, for the design optimization of a CMOS amplifier, for two different sets of requirements. © 2009 Springer Berlin Heidelberg.