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Application of the Univariate Marginal Distribution Algorithm to Mixed Analogue - Digital Circuit Design and Optimisation

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Applications of Evolutionary Computing (EvoWorkshops 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4448))

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Abstract

Design and optimisation of modern complex mixed analogue-digital circuits require new approaches to circuit sizing. In this paper, we present a novel approach based on the application of the univariate marginal distribution algorithm to circuit sizing at the system level. The results of automotive electronics circuits sizing indicate that all design requirements have been fulfilled in comparison with a human design. Experiments indicate that elitism increases the performance of the algorithm.

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© 2007 Springer-Verlag Berlin Heidelberg

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Zinchenko, L., Radecker, M., Bisogno, F. (2007). Application of the Univariate Marginal Distribution Algorithm to Mixed Analogue - Digital Circuit Design and Optimisation. In: Giacobini, M. (eds) Applications of Evolutionary Computing. EvoWorkshops 2007. Lecture Notes in Computer Science, vol 4448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71805-5_48

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  • DOI: https://doi.org/10.1007/978-3-540-71805-5_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71804-8

  • Online ISBN: 978-3-540-71805-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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