Optimum design of N sheet capacitive Jaumann absorber using genetic algorithm

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Optimum design of N sheet capacitive Jaumann absorber using genetic algorithm

Cheldavi, A.

An optimum design for N(arbitrary)-sheet capacitive Jaumann electromagnetic (EM) wave absorber, using genetic algorithm is presented. This algorithm is a random optimization method based on the genetic relation in a human being. The author shows the bandwidth for two-sheet capacitive Jaumann absorber can be expanded even more than 108% showed by Knott (1995), by using this algorithm and without imposing the double-notch design criteria. He also shows that his results approach Knott's results when we restrict the characteristic impedances and lengths of the lines to vary within a very short range. We also design one-sheet and three-sheet capacitive Jaumann absorbers. The only restriction used here is about the meaningful range for the design variables. The goal of this algorithm is that one can impose arbitrary restriction about the range of the variation of the variables. So the performance behaviour with the range dimension of the variables can be seen, and different optimum results for different ranges can be obtained. Finally, the author obtains a 20 dB attenuation bandwidth more than 145% for one-sheet, 173% for two-sheet and 193% for three-sheet capacitive Jaumann EM absorbers, with some acceptable short range for the variables. The 20 dB attenuation bandwidth obtained for the one-street and two-sheet capacitive Jaumann absorbers are respectively, from 10 to 77 MHz and, from 4 to 61 MHz. For the three-sheet capacitive Jaumann absorber the 20-dB attenuation bandwidth obtained is from 0.8 GHz to 280 GHz.