Automated Synthesis of Simple Nonlinear Analog Circuits by Means of Genetic Algorithm

Abstract

The synthesis of analog electronic circuits involves the design of their input-output characteristic and the selection of suitable elements. The design of analog electronic circuits is difficult, and in general, there has been no general automated synthesis procedure. Therefore, a number of automated synthesis procedures of analog circuits have been proposed. Koza et al. proposed an automated synthesis procedure using genetic programming. The automated synthesis procedure can automatically create parameterized topologies of the desired analog circuit. However, this synthesis procedure uses an infinite number of devices, and therefore the scale of the generated circuits is very large in many cases. In a real design process, only the finite number device can be used. Also, the generated circuits are only evaluated by a numerical simulation, namely, SPICE. The generated circuit is required to have stability and reproducibility. In this paper, we propose a novel automated synthesis procedure for a two-port circuit which has a simple nonlinear characteristic, by means of a genetic algorithm. The proposed method generates a suitable circuit which uses minimum resources.