An evolutionary design with multi-objectives of surface acoustic wave filters

Author

Li, Peng ; Shi, Yu ; Liang, Di-Fei ; Du, Bo

Author_Institution

State Key Lab. of Electron. Thin Films & Integrated Devices, Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2009

fDate

17-20 Dec. 2009

Firstpage

2

Lastpage

2

Abstract

Assuming SAW filter structure parameters as chromosome genes, multi-objective simultaneous optimization on SAW filter pass-band insertion loss, pass-band ripple and band rejection performance parameters et al., was conducted by using the parallel selection algorithm based on genetic algorithm and evolutionary strategy which is often used in simulting biological in natural environment and evolutionary process of genetic selection, crossover and mutation operation. Automatic generation of filter performance meets the various structural parameters of the filter parameters of indicators, and thus, the multi-objective simultaneous optimization on surface acoustic wave filter performance parameters has been realized truely. Such techniques not only improve the overall performance of the filter, and also increase the efficiency of SAW filter design.

Keywords

band-pass filters; biological techniques; genetic algorithms; genetics; optimisation; surface acoustic wave filters; SAW filter pass-band insertion loss; band rejection performance; genetic algorithm; genetic selection; mutation operation; optimization; parallel selection algorithm; pass-band ripple; surface acoustic wave filters; Acoustic waves; Band pass filters; Biological cells; Genetic algorithms; Genetic mutations; Insertion loss; Performance loss; SAW filters; Structural engineering; Surface acoustic waves; Surface acoustic wave filter; chromosome; genetic Algorithm; multi-objective optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Piezoelectricity, Acoustic Waves, and Device Applications (SPAWDA) and 2009 China Symposium on Frequency Control Technology, Joint Conference of the 2009 Symposium on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4950-7

Type

conf

DOI

10.1109/SPAWDA.2009.5429000

Filename

5429000