Multiobjective Optimization Tool for a Free  Structure Analog Circuits Design 
                        Using Genetic  Algorithms and Incorporating Parasitics

Khalifa, Yaser M. A.; Khan, Badar; Taha, Faisal

doi:https://doi.org/10.1155/2008/761380

Journal of Artificial Evolution and Applications

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Research Article | Open Access

Volume 2008 | Article ID 761380 | https://doi.org/10.1155/2008/761380

Multiobjective Optimization Tool for a Free Structure Analog Circuits Design Using Genetic Algorithms and Incorporating Parasitics

Yaser M. A. Khalifa,¹Badar Khan,¹and Faisal Taha¹

Academic Editor: Giovanni Squillero

Received27 Apr 2007

Revised07 Mar 2008

Accepted26 Jun 2008

Published08 Sept 2008

Abstract

This paper presents a novel approach for a free structure analog circuit design using genetic algorithms (GAs). 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 that are produced 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 an RLC ladder filters circuit design.

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Copyright

Copyright © 2008 Yaser M. A. Khalifa et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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