Multi-objective optimization tool for a free structure analog circuits design using genetic algorithms and incorporating parasitics

Authors:
Yaser M.A. Khalifa;Badar K. Khan;Faisal Taha
Affiliations:
State University of New York, New Paltz, NY;State University of New York, New Paltz, NY;State University of New York, New Paltz, NY
Venue:
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Year:
2007

Citing 6
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Abstract

This paper presents a novel approach for a free structure analog circuit design using Genetic Algorithms (GA). A major problem in a free structure circuit is its sensitivity calculations as a polynomial approximation for the design is not available. A further problem is the effect of parasitic elements on the resulting circuit's performance. In a single design stage, circuits are produced that satisfy a specific frequency response specifications using circuit structures that are unrestricted and with component values that are chosen from a set of preferred values including their parasitic effects. The sensitivity to component variations for the resulting designs is performed using a novel technique and is incorporated in the fitness evaluation function. The extra degrees of freedom resulting form unbounded circuit structures create a huge search space. The application chosen is a LC all pass ladder filter circuit design.