We present an approach for reducing the number of variables and constr
aints, which is combined with System Analysis Equations (SAE), for mul
tiobjective optimization-based design. In order to develop a simplifie
d analysis model, the SAE is computed outside an optimization loop and
then approximated for use by an optimizer. Two examples are presented
to demonstrate the approach.