Optimal design of frequency selective surfaces with fractal motifs
An alternative electromagnetic (EM) optimisation technique for the optimal design of frequency selective surfaces (FSSs) with fractal motifs is described. Based on computational intelligence tools, the proposed technique overcomes the high computational cost associated with FSS parametric full-wave...
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Published in | IET microwaves, antennas & propagation Vol. 8; no. 9; pp. 627 - 631 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Stevenage
The Institution of Engineering and Technology
01.06.2014
Institution of Engineering and Technology The Institution of Engineering & Technology |
Subjects | |
Online Access | Get full text |
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Summary: | An alternative electromagnetic (EM) optimisation technique for the optimal design of frequency selective surfaces (FSSs) with fractal motifs is described. Based on computational intelligence tools, the proposed technique overcomes the high computational cost associated with FSS parametric full-wave analysis. In an application example, a fast and accurate multilayer perceptrons model of a FSS band-stop spatial filter with a Vicsek fractal motif is developed. This neural network model is used for repetitive cost function computations in population-based search algorithm simulations. A bees algorithm, continuous genetic algorithm and particle swarm optimisation are used for FSS optimisation with specific resonant frequency and bandwidth. The performance of these algorithms is compared in terms of numerical convergence. Consistent results are presented for a second-pass of designed FSS prototype with Vicsek fractal elements. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 1751-8725 1751-8733 1751-8733 |
DOI: | 10.1049/iet-map.2013.0462 |