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Optimum Design of Surface Acoustic Wave Filters Based on the Taguchi’s Quality Engineering with a Memetic Algorithm

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Parallel Problem Solving from Nature - PPSN IX (PPSN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4193))

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Abstract

For deciding suitable structures of surface acoustic wave (SAW) filters based on the computer simulation, the equivalent circuit model of interdigital transducer (IDT), which includes several uncertain constant parameters, is usually used. In order to cope with the imperfections of the optimum design caused by the inevitable dispersion of these constant parameters, a technique based on the Taguchi’s quality engineering coupled with a memetic algorithm (MA) is presented. Besides the traditional Taguchi’s two-step design approach maximizing the robustness of SAW filters before realizing their specified functions, the proposed MA enables us to improve their robustness and functions simultaneously.

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© 2006 Springer-Verlag Berlin Heidelberg

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Tagawa, K., Matsuoka, M. (2006). Optimum Design of Surface Acoustic Wave Filters Based on the Taguchi’s Quality Engineering with a Memetic Algorithm. In: Runarsson, T.P., Beyer, HG., Burke, E., Merelo-Guervós, J.J., Whitley, L.D., Yao, X. (eds) Parallel Problem Solving from Nature - PPSN IX. PPSN 2006. Lecture Notes in Computer Science, vol 4193. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11844297_30

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  • DOI: https://doi.org/10.1007/11844297_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38990-3

  • Online ISBN: 978-3-540-38991-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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