. This work studies the problem of CMOS operational amplifiers design optimisation. The synthesis of CMOS amplifiers can be translated into a multiple-objective optimisation task, in which a large number of specifications has to be taken into account, i.e., GBW, area, power consumption and others. We apply Genetic Algorithms [7] (GAs) to this problem; GAs are a computational optimisation technique which borrows some principles from biological evolution and have been widely applied to Computer Aided Design (CAD) of electronic circuits. A novel multi-objective optimisation methodology is embedded in our genetic algorithm and we focus mainly on the synthesis of micro-power analog cells. 1 Introduction We present a novel methodology applied to the problem of analog CMOS cells optimisation. Particularly, we tackle the issue of synthesising low-power operational amplifiers. The acquisition of micropower analog circuits is a major tendency in the electronics industry nowadays and, an...