Title :
Evolutionary computation techniques for the optimum design of Balanced Surface Acoustic Wave filters
Author :
Tagawa, Kiyoharu
Author_Institution :
Dept. of Inf., Kinki Univ., Higashi-Osaka
Abstract :
Balanced surface acoustic wave (SAW) filters play a key role in the modern radio frequency (RF) circuits of cellular phones. The frequency response characteristics of balanced SAW filters depend on their geometrical structures. Therefore, in order to find desirable balanced SAW filters´ structures, the design of them is formulated as an optimization problem. Then two types of evolutionary algorithms (EAs), namely differential evolution (DE) and genetic algorithm (GA), are applied to the optimization problem respectively. Experimental results indicate that DE is superior to famous GA in the quality of solution obtained with the same cost.
Keywords :
cellular radio; genetic algorithms; surface acoustic wave filters; balanced surface acoustic wave filters; cellular phones; differential evolution algorithm; evolutionary computation techniques; frequency response characteristics; genetic algorithm; radio frequency circuits; Acoustic waves; Cellular phones; Circuits; Design optimization; Evolutionary computation; Frequency response; Genetic algorithms; Radio frequency; SAW filters; Surface acoustic waves;
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
DOI :
10.1109/CEC.2008.4630814
