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GECCO
2007
Springer

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

9 years 3 months ago
Multi-objective optimization tool for a free structure analog circuits design using genetic algorithms and incorporating parasit
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. Categories and Subject Descriptors B.8.2 [Performance Analy...
Yaser M. A. Khalifa, Badar K. Khan, Faisal Taha
Added 16 Aug 2010
Updated 16 Aug 2010
Type Conference
Year 2007
Where GECCO
Authors Yaser M. A. Khalifa, Badar K. Khan, Faisal Taha
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