Synthesizing passive networks by applying genetic programming and evolution strategies

In order to accurately predict the behavior of micro-electronic systems with nodal based software tools like SPICE, it is necessary to know appropriate equivalent circuits of the systems of interest. In microwave and RF engineering, this equivalent networks often have to be derived form measurement or EM field calculation via scattering parameters. In this contribution, a methodology is suggested that combines evolutionary algorithms (EAs) with a nodal based assembly technique in order to synthesize passive equivalent networks. Using only the knowledge of the scattering parameters, both structure and component values of an equivalent circuit of a system are determined by EA.