2000
DOI: 10.1002/1098-2760(20001205)27:5<330::aid-mop13>3.0.co;2-h
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Electromagnetic imaging of circular-cylindrical conductors and tunnels using a differential evolution algorithm

Abstract: A technique is developed for the electromagnetic reconstruction of the location and radius of buried circular–cylindrical conductors or tunnels based on a differential evolution (DE) algorithm. Simulation results are presented which demonstrate that DE can offer a simple, yet efficient and robust method for the imaging of buried objects. © 2000 John Wiley & Sons, Inc. Microwave Opt Technol Lett 27: 330–334, 2000.

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Cited by 64 publications
(13 citation statements)
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“…The cylinder parameters are as given in Table 1, except that e = 1 and χ = 0 • . We have taken as a measure of the error the objective function (12), in which the reference fields f ij are computed using the exact solution [15], and f ij are obtained by applying the BEM with an increasing number of segments N . These computations were also repeated using the one-point rule in Table 1.…”
Section: Numerical Resultsmentioning
confidence: 99%
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“…The cylinder parameters are as given in Table 1, except that e = 1 and χ = 0 • . We have taken as a measure of the error the objective function (12), in which the reference fields f ij are computed using the exact solution [15], and f ij are obtained by applying the BEM with an increasing number of segments N . These computations were also repeated using the one-point rule in Table 1.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…On the other hand, GAs tend to be computationally expensive, which prompted the development of many variants of the basic GA. One of the recent significant developments in this area was the invention of the Differential Evolution (DE) algorithm [11,12], which has been shown to outperform other known global optimization methods on a number of synthetic problems [13,14]. Since its introduction, DE is rapidly gaining in acceptance and has already been applied to the solution of various challenging engineering tasks, including the EM imaging of buried inhomogeneities [15,16]. In [15], DE was shown to outperform the state-of-the-art GAs in the imaging of circularcylindrical conductors and tunnels.…”
Section: Introductionmentioning
confidence: 99%
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“…It is an effective, robust, and simple global optimization algorithm, which only has a few control parameters. DE has been successfully applied to many EM problems, such as array synthesis [5], electromagnetic imaging [6], and synthesis of coplanar strip lines [7]. Meanwhile, to solve binary optimization problems, some binary versions of DE have been proposed [8,9].…”
Section: 47-5725 Ghz In Europe)mentioning
confidence: 99%
“…DE algorithm, one of the evolutionary algorithms, has been proven to be a highly efficient technique for solving numerical optimization problems. It is recognized that DE algorithm is practical and powerful optimization tools for a variety of microwave engineering problems [15][16][17][18][19][20][21][22][23]. The synthesis formulas proposed here are used to successfully compute the physical dimensions of CBCPWs.…”
Section: Introductionmentioning
confidence: 99%