GA automated design and synthesis of analog circuits with practical constraints

The paper develops a genetic algorithm (GA) based “growing” technique to design and synthesise analogue circuits with practical constraints, such as the manufacturer´s preferred component values. Most existing problems when evolutionary search techniques are applied to circuit design are addressed. The developed GA technique is then applied both to synthesise the topology of a network and perform value optimisation on the components based on a set of commonly used component values (E-12 series). Passive filter networks synthesised this way are realisable, effective and of novel topology. It is anticipated that this technique can be extended to active networks