Evolutionary computation techniques for the optimum design of Balanced Surface Acoustic Wave filters

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.

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