Abstract
Although analog circuits play an important role in Systems-on-a-chip, their design is effort and time consuming. Automated design methodologies are elaborated to overcome drawbacks resulting from human design. This paper proposes a double-layer on-line genetic algorithm-based optimization method for use in the automated design of Gm-C filters. To accomplish on-line circuit evolution, a Matlab-Eldo interface is proposed for communication of the GA with the circuit simulation environment. After a presentation of the Gm-C filter with an analysis of filter tunability, the two layers of the evolution are presented: raw filter design and fine-tuning of the filter characteristic. Simulation of the evolutionary algorithm proves the efficiency of the double-layer approach in reducing design time for a GA-only optimization technique.
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Farago, P., Hintea, S., Oltean, G., Festila, L. (2010). A Double-Layer Genetic Algorithm for Gm-C Filter Design. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science(), vol 6279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15384-6_66
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DOI: https://doi.org/10.1007/978-3-642-15384-6_66
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15383-9
Online ISBN: 978-3-642-15384-6
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