The design of inductive E-plane microwave filters using a community genetic
algorithm is discussed. The analysis of such devices necessary for their o
ptimization is accomplished using an accurate equivalent circuit technique
that speeds the electromagnetic characterization of the filters, making sto
chastic optimization feasible. The community genetic algorithm is introduce
d as a two-tiered simple genetic algorithm. The stratified nature of this n
ovel algorithm allows it to reuse redundant computations in the filter char
acterizations, speeding its convergence compared to a simple genetic algori
thm. Moreover, the community structure of the algorithm is shown to enhance
its robustness. The algorithm is applied to the design of bandpass filters
with a prescribed maximum passband rejection, and numerical results are sh
own for a four-post and a six-post filter. (C) 1999 John Wiley & Sons, Inc.