A genetic approach to simultaneous parameter space exploration and constraint transformation in analog synthesis

In this paper, we present a genetic algorithm based constraint transformation method. A unique feature of this is performing system level parameter space exploration to generate component design parameter ranges. We discuss a theoretical formulation and also show the method's application in pruning the search space of an analog circuit synthesis tool. Finally experimental results showing the impact of parameter space exploration on circuit synthesis are presented.

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