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Volumn 45, Issue 3, 2009, Pages 1514-1517

Reducing the computational cost of inverse scattering problems with evolutionary algorithms

Author keywords

Absorbing boundary condition (ABC); Clonal selection algorithm (RCSA); Electromagnetic scattering; Finite element methods (FEMs); Genetic algorithms; Inverse problems; Optimization methods

Indexed keywords

BOUNDARY CONDITIONS; COST BENEFIT ANALYSIS; COST REDUCTION; ELECTROMAGNETIC WAVE SCATTERING; IMAGE CLASSIFICATION; INVERSE PROBLEMS; OPTIMIZATION;

EID: 61449123172     PISSN: 00189464     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMAG.2009.2012693     Document Type: Article
Times cited : (7)

References (8)
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  • 2
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    • I. T. Rekanos, T. V. Yioultsis, and C. S. Hilas, "An inverse scattering approach based on the differential E-formulation," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 7, pp. 1456-1461, Jul. 2004.
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  • 3
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    • Neural-network-based inverse-scattering technique for online microwave medical imaging
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    • I. T. Rekanos, "Neural-network-based inverse-scattering technique for online microwave medical imaging," IEEE Trans. Magn., vol. 38, no. 2, pp. 1061-1064, Mar. 2002.
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    • P. Paul and J. P. Webb, "An iterative absorbing boundary condition using varying element orders," IEEE Trans. Magn., vol. 43, no. 4, pp. 1325-1328, Apr. 2007.
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  • 6
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    • A novel hybridization of higher order finite element and boundary integral methods for electromagnetic scattering and radiation problems
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  • 7
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.