Paper Info
Title
Multi-objective optimization tool for a free structure analog circuits design using genetic algorithms and incorporating parasitics
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.
Year
DOI
Venue
2007
10.1145/1274000.1274021
GECCO (Companion)
Keywords
Field
DocType
component variation,ladder filter circuit design,genetic algorithm,component value,multi-objective optimization tool,major problem,resulting circuit,circuit structure,free structure circuit,free structure analog circuit,single design stage,form unbounded circuit structure,degree of freedom,frequency response,search space,multi objective optimization,analog circuits,satisfiability,circuit design,genetic algorithms,evaluation function,optimization
Mathematical optimization,Computer science,Circuit extraction,Circuit design,Physical design,Electronic circuit,Parasitic extraction,Linear circuit,Equivalent circuit,Genetic algorithm
Conference
Citations 
PageRank 
References 
2
0.42
4
Authors
3
Name
Order
Citations
PageRank
Yaser M. A. Khalifa1203.99
Badar K. Khan271.28
Faisal Taha320.42