Analog filter design by genetic algorithms

Authors:
Said I. Elkhetali;Ibrahim Y. Aldabiski
Affiliations:
Department of Electrical Engineering, The Higher Instoute of Electroncs, BaniWalid, Libya;Department of Electrical Engineering, Academy of Graduate Studies, Tripoli, Libya
Venue:
MACMESE'09 Proceedings of the 11th WSEAS international conference on Mathematical and computational methods in science and engineering
Year:
2009

Citing 3
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Abstract

There are well known classic techniques for filter design, the most common are the Butterworth and Chebyshev. The difference in their response is due to the parameter values in the filter's transfer function. Selection of a specific set produces a specific behaviour; hence a designer must select either one among a limited number of responses. By using Genetic Algorithms (GA's), this paper will provide a filter designer with the freedom to specify the responses he desires and allow the GA's to calculate the parameter values that would realize this response. The paper presents results of filter design by GA's and its performance is compared with that of Butterworth and Chebyshev designed filters.