Multi-objective optimum design of SAW filters using genetic algorithm

Abstract

For deciding structures of SAW filters based on the computer simulation, the equivarent circuit model, which includes several uncertain parameters, is used. To cope well with the designing imperfections caused by the dispersion of these parameters, it is important for us to know the relationship between function and robustness. So, a multi-objective genetic algorithm is applied to the two objective optimum design problem of SAW filters.