Evolution based synthesis of analog integrated circuits and systems

An evolutionary approach to automatic synthesis of analog integrated circuits and systems is presented in this paper. An essential feature of this system is a high performance optimization algorithm based on the combination of evolutionary strategies and simulated annealing. As required by analog circuit synthesis, modeling of DC parameters is done via a fast DC simulator developed for this purpose whereas modeling of AC parameters is done either with user-defined equations or with neural-fuzzy performance models trained from SPICE simulations. Another feature of the system is the incorporation of matching properties of devices. The synthesis system has been applied to a number of design cases with demonstrated validity on silicon. The synthesis approach is also considered at the system level for potential analog VLSI applications.