Please use this identifier to cite or link to this item: https://doi.org/10.1109/CEC.2007.4425033
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dc.titleApplication of differential evolution in 2-dimensional electromagnetic inverse problems
dc.contributor.authorAgarwal, K.
dc.contributor.authorChen, X.
dc.date.accessioned2014-06-19T03:00:33Z
dc.date.available2014-06-19T03:00:33Z
dc.date.issued2007
dc.identifier.citationAgarwal, K., Chen, X. (2007). Application of differential evolution in 2-dimensional electromagnetic inverse problems. 2007 IEEE Congress on Evolutionary Computation, CEC 2007 : 4305-4312. ScholarBank@NUS Repository. https://doi.org/10.1109/CEC.2007.4425033
dc.identifier.isbn1424413400
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/69424
dc.description.abstractElectromagnetic inverse techniques are non-destructive techniques to investigate an unknown region. These techniques use the principle of scattering to determine the number of objects present in the domain, their properties and shapes. However, the scattered field is non-linear function of the objects' parameters. Direct search methods prove beneficial in solving such problems. In this paper, we study a two-dimensional domain having dielectric elliptic cylinders of infinite length. We try to estimate the location, contour and relative permittivity of the each of the cylinders. The previous works have majorly contributed to optimization of shapes of cylinders made of perfect electric conductor. Here, we investigate cases of domain having single dielectric elliptic cylinder in different orientations and in noisy/noise-free scenarios. We also present results for a noise-free domain containing two dielectric elliptic cylinders. We use Multiple Signal Classification algorithm to find the exact number of cylinders in the domain and their locations. Then, Differential Evolution is used to estimate the relative permittivities and contours of the cylinders. © 2007 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/CEC.2007.4425033
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/CEC.2007.4425033
dc.description.sourcetitle2007 IEEE Congress on Evolutionary Computation, CEC 2007
dc.description.page4305-4312
dc.identifier.isiut000256053703058
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