Bacteria Foraging Algorithm for Metamaterial Design and Optimization
IR@NAL: CSIR-National Aerospace Laboratories, Bangalore
View Archive Info| Field | Value | |
| Title |
Bacteria Foraging Algorithm for Metamaterial Design and Optimization
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| Creator |
Choudhury, Balamati
Sanjana, Bisoyi Jha , RM |
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| Subject |
Aircraft Design, Testing & Performance
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| Description |
Soft computing techniques are emerging as highly
efficient global optimization techniques in the field of
electromagnetics. These techniques along with the EM software have proved their efficiency in antenna engineering, wireless communication, absorber design and a few in the field of metamaterial structural analysis. Bacteria foraging algorithm, although has been used recently in controls, is still new to the field of metamaterial science and technology. In this paper,
bacteria foraging algorithm (BFA) is used for design optimization of a double ring circular split ring resonator. Equivalent circuit analysis is used the EM tool for analysis of the CSRR. The aim of bacteria foraging algorithm is the estimation of structural parameters of the CSRR at a desired frequency range. Further the developed algorithm is proved through extraction of parameters of the optimized metamaterial structure. A comparative study with other soft computing techniques w.r.t. accuracy and computational time is provided.
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| Date |
2013
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| Type |
Conference or Workshop Item
PeerReviewed |
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| Format |
application/pdf
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| Identifier |
http://nal-ir.nal.res.in/12247/1/cp114.pdf
Choudhury, Balamati and Sanjana, Bisoyi and Jha , RM (2013) Bacteria Foraging Algorithm for Metamaterial Design and Optimization. In: IEEE AEMC 2013, 2013-12-18, Bhubaneswar. |
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| Relation |
http://nal-ir.nal.res.in/12247/
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