MODEL-BUILDING OPTIMIZATION

摘要

A method and system for performing multi-objective optimization of a multi- parameter design having several variables and performance metrics. The optimization objectives include the performance values of surrogate models of the performance metric s and the uncertainty in the surrogate models. The uncertainty is always maximized whi le the performance metrics can be maximized or minimized in accordance with the definitions of the respective performance metrics. Alternatively, one of the optimization objectives can be the value of a user-defined cost function of the multi-parameter design, the cos t function depending from the performance metrics and/or the variables. In this case, t he other objective is the uncertainty of the cost function, which is maximized. The multi-parameter designs include electrical circuit designs such as analog, mixed-signal, and custom digital circuits.