Genetic Algorithms for Filter Design
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2016
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Swarthmore College. Dept. of Engineering
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Thesis (B.A.)
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en_US
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Full copyright to this work is retained by the student author. It may only be used for non-commercial, research, and educational purposes. All other uses are restricted.
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Abstract
This project investigated the use of genetic algorithms to design several types of analog filters. This process involved "mathematically describing" the correct filter behavior in the fitness function so that the genetic algorithm could identify the correct transfer function coefficients to fit this mathematical description. For the Butterworth, Type I Chebyshev, and Bessel filters, the genetic algorithm was successful in finding transfer functions whose behavior closely resembled that of the desired filter. Another filter, the Equiripple Error filter, which has an equiripple group delay in the pass band, was considered, but the genetic algorithm was not successful in finding a transfer function which followed the desired characteristics.