Title :
Genetic optimization algorithms in the design of coupled SAW filters
Author :
Meltaus, J. ; Hämäläinen, P. ; Salomaa, M.M. ; Plessky, V.P.
Author_Institution :
Helsinki Univ. of Technol., Espoo, Finland
Abstract :
We have studied genetic optimization algorithms in the design of longitudinally coupled surface acoustic wave filters. We employ a genetic algorithm in the optimization of a symmetric filter structure with 14 simultaneously optimized parameters. The effect of several parameters of the algorithm on the convergence of the optimization is investigated. Our algorithm is compared to a modification of the "cut-and-paste" method often used in genetic optimization. Our results indicate that a genetic optimization routine is suitable for the design of coupled filters.
Keywords :
convergence of numerical methods; genetic algorithms; surface acoustic wave filters; convergence; coupled SAW filters; cut-and-paste method; genetic optimization algorithms; longitudinally coupled surface acoustic wave filters; symmetric filter structure; Acoustic waves; Algorithm design and analysis; Design optimization; Genetic algorithms; Gradient methods; Optimization methods; Resonator filters; SAW filters; Surface acoustic wave devices; Surface acoustic waves;
Conference_Titel :
Ultrasonics Symposium, 2004 IEEE
Print_ISBN :
0-7803-8412-1
DOI :
10.1109/ULTSYM.2004.1418202
