Optimum design of surface acoustic wave filters based on the taguchi's quality engineering with a memetic algorithm

Authors:
Kiyoharu Tagawa;Mikiyasu Matsuoka
Affiliations:
Dept. of Electrical and Electronics Engineering, Kobe University, Kobe, Hyogo, Japan;Graduate School of Science and Technology, Kobe University, Kobe, Hyogo, Japan
Venue:
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Year:
2006

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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.