Bacteria Foraging Algorithm for Metamaterial Design and Optimization

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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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Bacteria Foraging Algorithm;Algorithm;Metamaterial Design;Electromagnetics
Subjects: AERONAUTICS > Aircraft Design, Testing & Performance
Depositing User: Mrs Manoranjitha M D
Date Deposited: 24 Jul 2015 09:57
Last Modified: 28 Oct 2015 07:01

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